120 ways AI can move a business forward.

001

Leadership & Strategy Quick win Days Assist

Competitor earnings call transcript summarisation

An AI assistant processes lengthy competitor earnings call transcripts to extract key themes, financial highlights and strategic shifts, providing leadership teams with concise briefing notes before strategy meetings.

Pressure, signal and first step+

Business pressure

Executives struggle to manually review hours of competitor communications while preparing for time-sensitive strategic planning sessions.

Value signal

Reduction in executive preparation time

Practical first step

Upload a recent competitor transcript to an approved enterprise language model to test automated thematic extraction.

Relevant to

Financial Services · Retail · Manufacturing

002

Leadership & Strategy Quick win Weeks Generate

Drafting executive summaries for board packs

A language model helps consolidate departmental reports into a unified draft executive summary, ensuring that leadership teams receive consistent insights while reducing manual collation efforts.

Pressure, signal and first step+

Business pressure

Compiling monthly board packs consumes significant management time and often results in inconsistent reporting formats across departments.

Value signal

Time saved in monthly reporting cycles

Practical first step

Use an internal summarisation tool to draft the initial overview for one section of the upcoming board pack.

Relevant to

Financial Services · Healthcare · Manufacturing

003

Leadership & Strategy Quick win Weeks Assist

Strategic initiative progress report extraction

A text analysis tool scans weekly project updates to extract and collate status changes on strategic initiatives, highlighting potential delays to the executive team for review.

Pressure, signal and first step+

Business pressure

Leadership lacks clear visibility into the execution of strategic projects across different business units due to fragmented reporting.

Value signal

Faster collation of strategic project updates

Practical first step

Process a sample of weekly project updates through a text extraction tool to identify key status changes.

Relevant to

Technology · Professional Services · Construction

004

Leadership & Strategy Quick win Weeks Assist

Consolidating market research for strategy planning

An AI tool aggregates and summarises industry reports, news articles and market research documents, creating a searchable knowledge base to support annual strategic planning exercises.

Pressure, signal and first step+

Business pressure

Strategy teams spend excessive time manually reading and cross-referencing disparate market research reports.

Value signal

Time saved in gathering market intelligence

Practical first step

Upload a set of recent industry reports to a secure document search tool to test information retrieval.

Relevant to

Professional Services · Real Estate · Energy & Utilities

005

Leadership & Strategy Quick win Weeks Assist

Initial screening of acquisition target profiles

A data extraction tool reviews public company profiles and standard financial filings against predefined strategic criteria, creating a shortlist of potential acquisition targets for human review.

Pressure, signal and first step+

Business pressure

Corporate development teams spend excessive time manually filtering through unsuitable acquisition targets during the initial screening phase.

Value signal

Faster initial filtering of acquisition targets

Practical first step

Define basic screening criteria and use a data extraction tool to evaluate a small sample of public company profiles.

Relevant to

Pharmaceuticals · Technology · Media

006

Leadership & Strategy Quick win Days Assist

Reviewing leadership communication consistency

A language analysis tool reviews draft internal communications from different executives to ensure consistent messaging regarding corporate strategy and values before distribution.

Pressure, signal and first step+

Business pressure

Inconsistent messaging from different leaders can cause confusion among employees regarding the company's strategic direction.

Value signal

Improved consistency in internal strategic messaging

Practical first step

Run a draft all-staff email through a language tool to check alignment with the corporate strategy style guide.

Relevant to

Professional Services · Healthcare · Telecommunications

007

Leadership & Strategy Quick win Days Generate

Organising strategic planning workshop outputs

An AI assistant processes notes, whiteboard photos and transcripts from strategic planning workshops, categorising ideas and drafting structured follow-up documents for participants.

Pressure, signal and first step+

Business pressure

Valuable insights from strategy workshops are often lost or delayed due to the manual effort required to transcribe and organise notes.

Value signal

Faster distribution of workshop outcomes

Practical first step

Use a transcription and summarisation tool to process the audio recording of a single strategy workshop session.

Relevant to

Manufacturing · Logistics · Retail

008

Leadership & Strategy Quick win Weeks Generate

Drafting responses to shareholder queries

A language model drafts initial responses to routine shareholder queries by referencing approved corporate communications and public filings, ready for review by the investor relations team.

Pressure, signal and first step+

Business pressure

Investor relations teams spend significant time drafting responses to repetitive queries regarding public information.

Value signal

Reduction in time spent drafting routine responses

Practical first step

Provide a language model with recent public filings and test its ability to draft responses to common historical queries.

Relevant to

Financial Services · Consumer Goods · Automotive

009

Leadership & Strategy Advanced Months Sense

Analysing sentiment in employee engagement surveys

A text analysis tool processes free-text responses from annual employee engagement surveys, identifying key themes and sentiment trends to inform leadership on organisational health.

Pressure, signal and first step+

Business pressure

HR and leadership teams struggle to manually analyse thousands of free-text survey responses to identify underlying cultural issues.

Value signal

Deeper insights into employee sentiment

Practical first step

Anonymise a subset of survey responses and run them through a sentiment analysis tool to identify broad themes.

Relevant to

Energy & Utilities · Manufacturing · Logistics

010

Leadership & Strategy Frontier Months Govern

Monitoring regulatory changes for strategic impact

An automated system monitors updates from relevant regulatory bodies, summarising complex policy changes and flagging potential impacts on the company's long-term strategy for legal review.

Pressure, signal and first step+

Business pressure

Leadership teams struggle to keep track of evolving regulations across multiple jurisdictions that could affect strategic plans.

Value signal

Earlier identification of relevant regulatory changes

Practical first step

Set up an automated alert for updates from one key regulatory body and use a summarisation tool to draft brief overviews.

Relevant to

Financial Services · Insurance · Public Sector

011

Sales & Revenue Quick win Days Assist

Transcribing sales meetings and drafting CRM updates

Sales representatives often struggle to capture detailed notes while actively engaging with clients. AI transcription tools can record the conversation and draft structured meeting summaries for the representative to review and save into the customer relationship management system.

Pressure, signal and first step+

Business pressure

Taking detailed notes during client calls distracts sales staff from active listening and building rapport.

Value signal

Potential reduction in time spent typing up meeting notes after client calls.

Practical first step

Test a standard transcription tool on a small number of non-confidential internal sales meetings to evaluate accuracy.

Relevant to

Professional Services · Telecommunications · Real Estate

012

Sales & Revenue Quick win Days Generate

Drafting initial sales outreach emails

Crafting tailored messages for new prospects requires significant research time. Generative AI can review public company information and draft an initial email template, which the sales professional can then refine and personalise before sending.

Pressure, signal and first step+

Business pressure

Writing individualised outreach emails for every new prospect is time-consuming and limits the number of contacts a salesperson can make.

Value signal

Possible increase in the volume of personalised outreach messages sent per week.

Practical first step

Use an approved generative AI tool to draft five outreach emails using publicly available prospect data, comparing the time taken against manual drafting.

Relevant to

Technology · Financial Services · Manufacturing

013

Sales & Revenue Quick win Weeks Sense

Sorting and categorising inbound sales inquiries

High volumes of generic inbound queries can obscure urgent or high-value requests. AI text analysis can scan incoming messages to identify specific product interests or urgency signals, helping the sales team prioritise which leads to contact first.

Pressure, signal and first step+

Business pressure

Sales teams spend too much time manually reading and sorting through general inquiries to find actionable leads.

Value signal

Faster initial response times for inquiries that contain clear buying signals.

Practical first step

Run a sample of past inbound emails through a text classification tool to see if it accurately identifies the most promising leads.

Relevant to

Retail · E-commerce · Consumer Goods

014

Sales & Revenue Quick win Weeks Automate

Comparing competitor pricing for standard products

Monitoring competitor prices across multiple websites is a tedious manual task. Automated data extraction tools can gather public pricing information for matched products and present it in a consolidated dashboard for the pricing team to review.

Pressure, signal and first step+

Business pressure

Pricing analysts struggle to manually check enough competitor websites to keep their own product pricing competitive.

Value signal

More frequent updates to competitor pricing comparisons.

Practical first step

Set up a simple web extraction tool to monitor the public prices of ten key products on three competitor websites.

Relevant to

Retail · Travel · Hospitality

015

Sales & Revenue Quick win Weeks Sense

Summarising customer feedback to identify account risks

Account managers often miss signs of client dissatisfaction buried in lengthy support tickets or survey responses. AI summarisation can review recent communications and highlight recurring complaints, prompting the account manager to check in with the client.

Pressure, signal and first step+

Business pressure

Important signals about client frustration are easily lost in the daily volume of routine customer correspondence.

Value signal

Earlier identification of accounts that may require a proactive retention call.

Practical first step

Process a batch of anonymised support tickets from a known cancelled account to see if the tool highlights the underlying issues.

Relevant to

Telecommunications · Media · Technology

016

Sales & Revenue Quick win Weeks Assist

Locating standard answers for sales proposals

Responding to complex requests for proposals involves searching through past documents for standard technical answers. An AI search tool can index previous successful bids and suggest relevant paragraphs for the bid writer to adapt and include.

Pressure, signal and first step+

Business pressure

Bid teams waste hours searching through shared drives to find how a specific technical question was answered in previous proposals.

Value signal

Reduction in the time spent searching for standard technical responses during proposal writing.

Practical first step

Upload five past successful proposals to an approved internal search tool and test its ability to retrieve specific technical answers.

Relevant to

Construction · Technology · Logistics

017

Sales & Revenue Quick win Days Sense

Extracting key themes from customer feedback calls

Sales managers rarely have time to listen to full recordings of customer feedback sessions. AI tools can process the transcripts to extract common themes and recurring product requests, providing a concise summary for the sales team to review.

Pressure, signal and first step+

Business pressure

Valuable customer insights are lost because staff do not have the capacity to review long recordings of feedback calls.

Value signal

Improved visibility of common customer requests and objections across the sales team.

Practical first step

Transcribe three recent customer feedback calls and use a summarisation tool to extract the main discussion points.

Relevant to

Insurance · Automotive · Healthcare

018

Sales & Revenue Quick win Days Generate

Drafting standard contract renewal notices

Preparing routine contract renewal emails for small accounts is a repetitive administrative task. Generative AI can merge customer details with standard templates to draft renewal notices for the account manager to review and approve before sending.

Pressure, signal and first step+

Business pressure

Account managers spend disproportionate administrative time preparing standard renewal paperwork for low-value contracts.

Value signal

Decrease in the administrative time required to process standard contract renewals.

Practical first step

Create a template prompt and test it with dummy customer data to verify that the generated renewal notices are accurate and professional.

Relevant to

Professional Services · Retail · Energy & Utilities

019

Sales & Revenue Advanced Months Predict

Analysing historical sales data to forecast seasonal trends

Sales leaders often rely on basic spreadsheets to predict upcoming revenue, which can miss complex seasonal patterns. Advanced analytical models can process years of historical sales data alongside market indicators to suggest more nuanced revenue forecasts for management review.

Pressure, signal and first step+

Business pressure

Simple spreadsheet forecasting often fails to account for complex variables, leading to inaccurate revenue projections and poor resource allocation.

Value signal

Potential improvement in the accuracy of quarterly revenue forecasts.

Practical first step

Provide an analytical model with three years of historical, anonymised sales data to compare its retrospective forecast against actual performance.

Relevant to

Financial Services · Retail · Agriculture & Food

020

Sales & Revenue Frontier Strategic horizon Optimise

Optimising complex pricing strategies across multiple regions

Setting prices across different international markets involves balancing currency fluctuations, local demand and supply chain costs. Sophisticated AI systems can continuously analyse these diverse data streams to recommend dynamic pricing adjustments, which commercial directors can then evaluate and implement.

Pressure, signal and first step+

Business pressure

Managing pricing across multiple global markets is too complex for manual analysis, often resulting in missed revenue opportunities or uncompetitive positioning.

Value signal

Observable improvements in margin consistency across different international markets.

Practical first step

Develop a proof-of-concept model for a single product line in two distinct regions to test the reliability of the pricing recommendations.

Relevant to

Pharmaceuticals · Consumer Goods · Manufacturing

021

Marketing & Brand Quick win Days Generate

Drafting variations of social media copy

Marketing teams can use AI to quickly draft multiple variations of promotional text for different social platforms, helping them test messaging without spending hours writing every option from scratch.

Pressure, signal and first step+

Business pressure

Content creators struggle to find the time to write enough distinct text variations to support segmented digital campaigns.

Value signal

Reduction in time spent drafting initial social media posts

Practical first step

Select a single upcoming campaign and use an approved AI tool to draft three text variations for review.

Relevant to

Retail · E-commerce · Media

022

Marketing & Brand Quick win Days Sense

Summarising weekly customer feedback

Brand managers can use AI to read and summarise weekly customer reviews, highlighting common themes and recurring complaints so the team can understand sentiment without reading every individual comment.

Pressure, signal and first step+

Business pressure

Brand teams lack the capacity to manually read and categorise the growing volume of online customer feedback each week.

Value signal

Faster production of weekly customer sentiment summaries

Practical first step

Export a week of public reviews and use a secure AI tool to generate a summary of the main themes.

Relevant to

Hospitality · Consumer Goods · Retail

023

Marketing & Brand Quick win Weeks Assist

Extracting metadata tags for marketing images

Marketing departments can use AI to suggest descriptive tags for new campaign images, making it easier for colleagues to search and find the right visual assets in the shared drive.

Pressure, signal and first step+

Business pressure

Creative assets are frequently lost or recreated because manual tagging in shared folders is inconsistent or skipped entirely.

Value signal

More consistent application of search tags to new image files

Practical first step

Test an AI tagging tool on a small folder of recent campaign images to see if the suggested labels match your internal vocabulary.

Relevant to

Media · Consumer Goods · Technology

024

Marketing & Brand Quick win Weeks Govern

Checking promotional materials against brand guidelines

Marketing teams can use AI to review draft brochures and web copy against the company's tone of voice guidelines, flagging potential inconsistencies before the final human review.

Pressure, signal and first step+

Business pressure

Reviewing every piece of marketing collateral for strict adherence to brand guidelines is a slow and repetitive bottleneck.

Value signal

Fewer basic brand guideline errors caught during final management review

Practical first step

Upload the current brand guidelines to a secure AI environment and test it by reviewing a past brochure.

Relevant to

Financial Services · Insurance · Telecommunications

025

Marketing & Brand Quick win Days Automate

Organising competitor pricing data from public websites

Marketing analysts can use AI to extract and format pricing information from competitor websites into a clean spreadsheet, saving hours of manual data entry when preparing market comparisons.

Pressure, signal and first step+

Business pressure

Compiling competitor pricing reports requires tedious manual copying and pasting from multiple public websites.

Value signal

Reduction in manual data entry time for weekly competitor reports

Practical first step

Use a web extraction tool to pull pricing from three competitor pages and format it into a standard table.

Relevant to

Travel · Hospitality · Retail

026

Marketing & Brand Quick win Days Assist

Drafting responses to routine customer queries

Community managers can use AI to draft polite, standard responses to common questions on social media, which staff can then review, edit and approve before posting.

Pressure, signal and first step+

Business pressure

Social media managers spend too much time typing out similar answers to repetitive questions about opening hours or basic policies.

Value signal

Faster turnaround time for replying to standard social media questions

Practical first step

Create a prompt containing your standard FAQs and test drafting replies to ten historical customer questions.

Relevant to

E-commerce · Retail · Telecommunications

027

Marketing & Brand Quick win Weeks Automate

Formatting monthly marketing performance reports

Marketing coordinators can use AI to help consolidate data from different advertising platforms into a standard monthly reporting template, highlighting key metrics for the team.

Pressure, signal and first step+

Business pressure

Pulling numbers from various ad platforms and formatting them into a readable monthly report is a tedious administrative chore.

Value signal

Less time spent formatting tables in the monthly marketing update

Practical first step

Export last month's data from two platforms and use an AI tool to merge them into your standard reporting layout.

Relevant to

Professional Services · Technology · Media

028

Marketing & Brand Quick win Days Generate

Translating marketing copy for regional teams

Global marketing teams can use AI to create initial translations of campaign copy for different regions, giving local managers a solid starting point to refine rather than starting from scratch.

Pressure, signal and first step+

Business pressure

Waiting for initial translations delays the rollout of global marketing campaigns to regional offices.

Value signal

Faster delivery of draft campaign materials to regional marketing managers

Practical first step

Take a short piece of approved English copy and generate a draft translation for one regional team to review.

Relevant to

Manufacturing · Consumer Goods · Automotive

029

Marketing & Brand Advanced Months Sense

Analysing customer segmentation from purchase history

Marketing analysts can use AI to identify patterns in historical purchase data, helping to group customers into more accurate segments for targeted email campaigns.

Pressure, signal and first step+

Business pressure

Marketing teams struggle to move beyond basic demographic segments because analysing complex purchase histories is technically difficult.

Value signal

Identification of new, distinct customer segments based on buying behaviour

Practical first step

Export an anonymised dataset of past purchases and use an AI analysis tool to look for unexpected grouping patterns.

Relevant to

E-commerce · Retail · Travel

030

Marketing & Brand Frontier Months Predict

Predicting campaign performance across multiple channels

Marketing directors can use advanced AI models to forecast how different budget allocations across digital and traditional channels might impact overall sales, helping to guide strategic planning.

Pressure, signal and first step+

Business pressure

Allocating large marketing budgets relies heavily on intuition because it is difficult to forecast the combined effect of multiple advertising channels.

Value signal

More data-driven discussions during annual marketing budget planning

Practical first step

Gather two years of historical spend and sales data to assess if it is clean enough to support predictive modelling.

Relevant to

Financial Services · Automotive · Consumer Goods

031

Customer Experience & Service Quick win Weeks Assist

Sort and assign incoming customer support emails

Office staff often spend time sorting customer emails before forwarding them to the right team. AI can assist by categorising emails by topic and urgency to help staff quickly assign them to the correct department.

Pressure, signal and first step+

Business pressure

High volumes of customer emails can delay responses and increase workload for support teams.

Value signal

Faster email assignment and reduced manual sorting effort

Practical first step

Select a sample of recent customer emails and test AI categorisation using a standard email management tool.

Relevant to

Retail · Telecommunications · Financial Services

032

Customer Experience & Service Quick win Days Assist

Summarise customer feedback from surveys

Customer service teams receive many open-text survey responses that are time-consuming to review. AI can help by summarising common themes and highlighting key points for staff to review.

Pressure, signal and first step+

Business pressure

Manual review of survey feedback is slow and may miss important trends.

Value signal

Quicker identification of common customer concerns

Practical first step

Export recent survey responses and run a pilot summary using an approved text analysis tool.

Relevant to

Hospitality · Travel · Retail

033

Customer Experience & Service Quick win Weeks Assist

Provide quick access to policy documents for support agents

Support agents often need to find relevant policy or troubleshooting documents during calls. AI can assist by quickly retrieving the most relevant documents based on the agent’s query.

Pressure, signal and first step+

Business pressure

Searching multiple databases slows down customer support and increases call times.

Value signal

Reduced time spent searching for information during calls

Practical first step

Gather frequently used documents into one location and trial a search tool with support agents.

Relevant to

Energy & Utilities · Telecommunications · Public Sector

034

Customer Experience & Service Quick win Weeks Assist

Identify customers likely to cancel subscriptions early

Customer retention teams want to spot signs of dissatisfaction before cancellations occur. AI can help by analysing customer activity and flagging accounts that may need attention.

Pressure, signal and first step+

Business pressure

Late detection of unhappy customers leads to missed retention opportunities.

Value signal

Early alerts for accounts showing signs of dissatisfaction

Practical first step

Review past customer data to identify common indicators of cancellation and test AI flagging on recent accounts.

Relevant to

Technology · Media · Telecommunications

035

Customer Experience & Service Quick win Weeks Assist

Support after-hours customer queries with chatbots

Customer queries outside business hours can cause delays. AI chatbots can assist by answering routine questions in multiple languages, helping customers until staff are available.

Pressure, signal and first step+

Business pressure

Providing 24/7 support with human staff is costly and challenging for many businesses.

Value signal

Increased response availability outside office hours

Practical first step

Define common after-hours questions and pilot a chatbot using approved software with clear escalation paths.

Relevant to

E-commerce · Travel · Logistics

036

Customer Experience & Service Quick win Weeks Assist

Personalise customer self-service portals

Customers often find generic self-service portals difficult to navigate. AI can assist by adapting portal content and layout based on user profiles and recent activity to improve usability.

Pressure, signal and first step+

Business pressure

Complex menus can frustrate customers and reduce self-service success rates.

Value signal

Improved customer engagement with self-service tools

Practical first step

Segment users by profile and test personalised portal views with a small user group.

Relevant to

Financial Services · Healthcare · Energy & Utilities

037

Customer Experience & Service Quick win Weeks Assist

Help score customer service calls for quality checks

Quality assurance teams manually review a small sample of calls. AI can assist by analysing recorded calls and providing initial quality scores for staff to review and verify.

Pressure, signal and first step+

Business pressure

Limited resources mean many calls go unchecked, risking inconsistent service quality.

Value signal

Increased volume of calls reviewed for quality assurance

Practical first step

Define quality criteria and pilot AI scoring on a small set of recorded calls with human review.

Relevant to

Insurance · Financial Services · Telecommunications

038

Customer Experience & Service Quick win Weeks Generate

Create tailored video guides for customer onboarding

Onboarding new customers often requires explaining complex product features. AI can help by generating customised video tutorials based on the customer’s specific setup and needs.

Pressure, signal and first step+

Business pressure

Standard onboarding materials may not address individual customer configurations effectively.

Value signal

Improved customer understanding during onboarding

Practical first step

Identify common onboarding questions and create a pilot video using AI tools with a small customer group.

Relevant to

Technology · Financial Services

039

Customer Experience & Service Advanced Months Govern

Analyse customer service calls for compliance and feedback

AI tools can review recorded customer calls to check adherence to service standards and provide feedback to agents, helping improve service quality over time.

Pressure, signal and first step+

Business pressure

Manual compliance checks cover only a fraction of interactions, limiting oversight.

Value signal

Greater coverage of compliance checks across calls

Practical first step

Develop compliance criteria and trial AI analysis on a sample of recorded calls with human validation.

Relevant to

Insurance · Financial Services · Telecommunications

040

Customer Experience & Service Frontier Strategic horizon Simulate

Test new customer service processes using simulated scenarios

Before launching changes to customer service workflows, AI can simulate typical customer interactions to identify potential issues and improve the process design.

Pressure, signal and first step+

Business pressure

Unplanned changes can cause confusion and increase support requests.

Value signal

Fewer issues after process changes are implemented

Practical first step

Create a basic simulated customer profile and run pilot tests of new service steps in a controlled environment.

Relevant to

Financial Services · Retail · Public Sector

041

Operations & Process Quick win Weeks Assist

Extracting data from supplier delivery notes

An AI assistant extracts line items from unstructured delivery paperwork to help update inventory systems, reducing manual data entry and processing delays.

Pressure, signal and first step+

Business pressure

Manual processing of inbound delivery documentation causes inventory visibility delays and consumes significant administrative time.

Value signal

Reduction in document processing time

Practical first step

Identify the most common supplier document formats to test with off-the-shelf extraction tools in a secure environment.

Relevant to

Retail · Manufacturing · Logistics

042

Operations & Process Quick win Days Generate

Drafting standard operating procedure documents

A generative tool converts rough process notes and bullet points into formatted standard operating procedures that align with corporate guidelines.

Pressure, signal and first step+

Business pressure

Maintaining up-to-date process documentation requires extensive time from operational managers who are already stretched.

Value signal

Time spent creating process documentation

Practical first step

Collate existing process notes for a single department to pilot the generation workflow using non-sensitive data.

Relevant to

Manufacturing · Healthcare · Financial Services

043

Operations & Process Quick win Weeks Assist

Routing internal IT and facility tickets

A language model suggests categories for incoming operational support requests to help route them to the correct resolution team.

Pressure, signal and first step+

Business pressure

Misdirected internal support tickets cause resolution delays and frustrate employees trying to maintain operational continuity.

Value signal

Ticket triage and routing accuracy

Practical first step

Export a sample of resolved ticket data to test a basic classification model in an approved environment.

Relevant to

Technology · Financial Services · Retail

044

Operations & Process Quick win Days Generate

Summarising weekly operational shift reports

An AI tool consolidates daily shift logs and handover notes into a concise weekly summary for operations managers to review.

Pressure, signal and first step+

Business pressure

Reading through lengthy daily shift logs to identify recurring operational issues takes up valuable management time.

Value signal

Time saved in preparing weekly operational reviews

Practical first step

Run a week of anonymised shift logs through a secure summarisation tool to evaluate the output quality.

Relevant to

Manufacturing · Energy & Utilities · Hospitality

045

Operations & Process Quick win Weeks Assist

Checking compliance in health and safety forms

An AI assistant reviews submitted health and safety incident forms to highlight missing fields or inconsistent information for human review.

Pressure, signal and first step+

Business pressure

Incomplete or inconsistent incident reports require manual follow-up and delay necessary safety interventions.

Value signal

Reduction in forms requiring manual follow-up for missing data

Practical first step

Test the tool on a batch of historical, anonymised incident forms to see if it correctly identifies known omissions.

Relevant to

Construction · Manufacturing · Public Sector

046

Operations & Process Quick win Days Assist

Organising digital asset libraries

A classification tool suggests tags and folder structures for unorganised operational photos and site inspection images.

Pressure, signal and first step+

Business pressure

Finding specific site photos or inspection images is difficult when files are saved with generic names and no metadata.

Value signal

Time taken to retrieve specific historical site images

Practical first step

Upload a small folder of typical site photos to an approved tool to evaluate its suggested tags.

Relevant to

Real Estate · Construction · Telecommunications

047

Operations & Process Quick win Days Generate

Drafting responses to routine supplier queries

An AI assistant drafts suggested replies to common supplier emails regarding invoice status or delivery schedules, ready for staff to review and send.

Pressure, signal and first step+

Business pressure

Operations staff spend significant time answering repetitive supplier questions instead of focusing on core tasks.

Value signal

Reduction in time spent managing the supplier inbox

Practical first step

Identify the five most common supplier questions and test drafting responses using standard templates.

Relevant to

Retail · Manufacturing · Logistics

048

Operations & Process Quick win Days Assist

Cleaning up legacy inventory spreadsheets

A data processing tool helps identify duplicate entries, formatting errors and missing values in large inventory spreadsheets.

Pressure, signal and first step+

Business pressure

Consolidating inventory data from different departments is hindered by inconsistent formatting and duplicate records.

Value signal

Time saved during monthly inventory reconciliation

Practical first step

Run a sample of a non-sensitive inventory spreadsheet through a data cleaning tool to assess its accuracy.

Relevant to

Retail · E-commerce · Consumer Goods

049

Operations & Process Advanced Months Predict

Predictive maintenance scheduling for manufacturing equipment

An analytical model reviews historical maintenance logs and usage data to suggest optimal times for servicing equipment before failure occurs.

Pressure, signal and first step+

Business pressure

Unexpected equipment failures halt production lines and incur significant emergency repair costs alongside lost revenue.

Value signal

Frequency of unplanned equipment downtime

Practical first step

Audit existing machinery maintenance logs to determine if data quality supports predictive modelling.

Relevant to

Manufacturing · Energy & Utilities · Automotive

050

Operations & Process Frontier Months Optimise

Dynamic inventory optimisation across warehouse networks

An algorithmic model suggests balanced stock levels across multiple locations by analysing local demand signals and seasonal trends.

Pressure, signal and first step+

Business pressure

Capital is tied up in excess inventory while stockouts in other locations lead to missed fulfilment opportunities.

Value signal

Inventory holding costs and stockout rates

Practical first step

Consolidate historical sales data and current inventory levels into a unified, secure data environment for initial analysis.

Relevant to

Retail · Logistics · Consumer Goods

051

Finance & Commercial Quick win Days Generate

Drafting initial responses to routine supplier invoice queries

Finance teams can use language models to draft polite, standard replies to common supplier emails about payment dates or missing invoice details, ready for a team member to review and send.

Pressure, signal and first step+

Business pressure

Accounts payable staff spend significant time typing repetitive responses to routine supplier queries, delaying actual invoice processing.

Value signal

Reduction in time spent drafting routine supplier emails

Practical first step

Select ten common supplier query emails and test the model's ability to draft appropriate responses in a secure environment.

Relevant to

Retail · Manufacturing · Professional Services

052

Finance & Commercial Quick win Weeks Assist

Extracting key terms from standard commercial contracts

Commercial teams can use text extraction tools to pull renewal dates, notice periods, and standard pricing terms from PDF contracts into a structured spreadsheet for easier tracking.

Pressure, signal and first step+

Business pressure

Manually reading through lengthy commercial contracts to find basic renewal dates is slow and prone to human oversight.

Value signal

Time saved when indexing new commercial contracts

Practical first step

Upload five standard, non-sensitive contracts to an approved tool to verify the accuracy of date and term extraction.

Relevant to

Technology · Real Estate · Financial Services

053

Finance & Commercial Quick win Days Assist

Comparing expense receipts against submitted claim forms

Finance administrators can use document comparison tools to check that the amounts and dates on scanned receipts match the data entered in the expense claim system, highlighting discrepancies for review.

Pressure, signal and first step+

Business pressure

Checking individual expense receipts against claim forms is a tedious manual task that slows down employee reimbursement.

Value signal

Faster initial screening of employee expense claims

Practical first step

Run a batch of twenty previously processed expense claims through the tool to compare its findings with the manual review.

Relevant to

Professional Services · Technology · Healthcare

054

Finance & Commercial Quick win Weeks Generate

Summarising monthly departmental spend reports

Finance business partners can use summarisation tools to draft a brief overview of key variances in departmental spending, providing a starting point for their monthly management commentary.

Pressure, signal and first step+

Business pressure

Writing the initial narrative for routine monthly spend reports takes time away from deeper financial analysis and business partnering.

Value signal

Time saved drafting the initial monthly variance commentary

Practical first step

Provide the tool with last month's raw spend data and the final written report to evaluate the quality of its drafted summary.

Relevant to

Financial Services · Manufacturing · Retail

055

Finance & Commercial Quick win Weeks Assist

Categorising unallocated bank transactions

Accounts teams can use classification models to suggest the most likely ledger codes for routine, unallocated bank transactions based on historical patterns, presenting them for final human approval.

Pressure, signal and first step+

Business pressure

Manually assigning ledger codes to hundreds of minor, recurring bank transactions is a repetitive and time-consuming daily task.

Value signal

Reduction in time spent manually coding routine bank transactions

Practical first step

Export a sample of historical, correctly coded transactions to test the model's suggested categorisations.

Relevant to

Construction · Retail · Hospitality

056

Finance & Commercial Quick win Days Automate

Formatting and cleaning raw financial data exports

Finance analysts can use data preparation tools to automatically remove blank rows, standardise date formats, and align columns in raw data exports before importing them into financial models.

Pressure, signal and first step+

Business pressure

Preparing raw data exports for analysis often requires repetitive manual formatting in spreadsheets, increasing the risk of accidental deletions.

Value signal

Time saved preparing raw data for financial analysis

Practical first step

Create a standard template for cleaning a specific, frequently used data export and test it on a small sample.

Relevant to

E-commerce · Travel · Retail

057

Finance & Commercial Quick win Weeks Sense

Checking supplier details against compliance watchlists

Procurement teams can use automated checking tools to screen new supplier names and addresses against standard compliance and sanctions watchlists, flagging potential matches for manual investigation.

Pressure, signal and first step+

Business pressure

Manually searching for new suppliers across multiple compliance databases is slow and can delay the onboarding process.

Value signal

Faster initial compliance screening for new suppliers

Practical first step

Run a list of known, approved suppliers through the screening tool to check for false positive flags.

Relevant to

Public Sector · Manufacturing · Healthcare

058

Finance & Commercial Quick win Days Assist

Organising incoming finance team emails by urgency

Finance departments can use text classification to sort incoming emails into categories such as urgent payment requests, routine queries, and system alerts, helping the team prioritise their inbox.

Pressure, signal and first step+

Business pressure

Important payment requests can get lost in a busy shared finance inbox, leading to delayed payments and frustrated suppliers.

Value signal

Improved response times for urgent finance queries

Practical first step

Apply the classification rules to a week of historical inbox data to see if it correctly identifies the urgent requests.

Relevant to

Logistics · Consumer Goods · Telecommunications

059

Finance & Commercial Advanced Months Sense

Identifying unusual patterns in corporate procurement spend

Commercial teams can use pattern recognition tools to review large volumes of procurement data, highlighting unusual spending spikes or duplicate invoice numbers for further investigation by an auditor.

Pressure, signal and first step+

Business pressure

Spotting duplicate payments or unusual spending patterns across thousands of transactions is difficult using standard spreadsheet filters.

Value signal

Number of unusual transactions flagged for manual review

Practical first step

Provide a secure, anonymised dataset of past procurement spend to test the tool's ability to find known historical anomalies.

Relevant to

Public Sector · Manufacturing · Healthcare

060

Finance & Commercial Frontier Months Predict

Forecasting short-term cash flow variations

Finance leaders can use predictive models that analyse historical transaction data and seasonal trends to suggest potential short-term cash flow variations, supporting more informed liquidity planning.

Pressure, signal and first step+

Business pressure

Relying solely on static spreadsheets for cash flow forecasting can make it harder to anticipate sudden changes in working capital needs.

Value signal

Improved visibility of potential short-term cash flow changes

Practical first step

Consolidate a limited set of historical transaction data to see if the model can accurately reflect past seasonal cash flow trends.

Relevant to

Construction · Retail · Hospitality

061

People & Workplace Quick win Days Generate

Drafting standard job descriptions from role requirements

Human resources teams can use a language model to convert bullet points of role requirements into formatted, consistent job descriptions ready for review.

Pressure, signal and first step+

Business pressure

Writing job descriptions from scratch takes time and often leads to inconsistent formatting across different departments.

Value signal

Time spent drafting initial job descriptions

Practical first step

Test the process using a secure AI tool to draft descriptions for three common roles using non-sensitive requirements.

Relevant to

Retail · Hospitality · Manufacturing

062

People & Workplace Quick win Weeks Assist

Summarising candidate CVs against core criteria

Recruiters can use an AI assistant to extract key qualifications and experience from CVs, presenting a structured summary alongside the original document.

Pressure, signal and first step+

Business pressure

Reviewing high volumes of applications manually delays the shortlisting process and frustrates hiring managers.

Value signal

Speed of the initial CV review process

Practical first step

Run a pilot with anonymised CVs in an approved environment to check the accuracy of the extracted summaries.

Relevant to

Professional Services · Technology · Healthcare

063

People & Workplace Quick win Days Assist

Extracting key dates from employee leave requests

Administrators can use text extraction tools to pull dates and leave types from email requests, formatting them for easier entry into the scheduling system.

Pressure, signal and first step+

Business pressure

Manually reading emails and copying dates into spreadsheets or systems is repetitive and prone to data entry errors.

Value signal

Reduction in manual data entry errors for leave dates

Practical first step

Process a sample of past, anonymised leave request emails to verify the extraction accuracy.

Relevant to

Logistics · Construction · Public Sector

064

People & Workplace Quick win Weeks Sense

Comparing training records against compliance requirements

Compliance teams can use data matching tools to compare employee training logs against mandatory certification lists, highlighting missing or expired qualifications.

Pressure, signal and first step+

Business pressure

Tracking mandatory training across large teams using spreadsheets makes it difficult to spot compliance gaps before audits.

Value signal

Visibility of upcoming training expirations

Practical first step

Test the matching tool on a small, non-sensitive dataset of training records for a single department.

Relevant to

Financial Services · Energy & Utilities · Pharmaceuticals

065

People & Workplace Quick win Days Generate

Drafting responses to routine policy questions

Human resources staff can use an AI assistant to suggest draft email replies to common questions about benefits or leave, based on the staff handbook.

Pressure, signal and first step+

Business pressure

Answering repetitive queries about standard policies consumes time that could be spent on complex employee relations issues.

Value signal

Time taken to respond to standard policy queries

Practical first step

Provide the AI tool with the current staff handbook and test its suggested answers on historical, anonymised queries.

Relevant to

Education · Non-profit · Telecommunications

066

People & Workplace Quick win Weeks Sense

Organising feedback from employee engagement surveys

Internal communications teams can use text analysis to group free-text survey responses into common themes, making it easier to review staff feedback.

Pressure, signal and first step+

Business pressure

Reading and categorising hundreds of open-ended survey comments manually delays the reporting of engagement results.

Value signal

Speed of identifying main themes in survey feedback

Practical first step

Run the thematic analysis on a past survey dataset that has been stripped of identifying information.

Relevant to

Media · Consumer Goods · Real Estate

067

People & Workplace Quick win Days Generate

Formatting internal newsletter content

Communications staff can use generative tools to adjust the tone and length of departmental updates, ensuring a consistent style for the weekly staff newsletter.

Pressure, signal and first step+

Business pressure

Editing submissions from different departments into a cohesive internal newsletter is a time-consuming weekly task.

Value signal

Time spent editing newsletter submissions

Practical first step

Use a secure AI tool to redraft three past newsletter submissions to match the corporate style guide.

Relevant to

Professional Services · Technology · Financial Services

068

People & Workplace Quick win Weeks Automate

Cleaning up employee directory data

IT and HR teams can use data processing tools to identify formatting inconsistencies and missing fields in the central employee directory.

Pressure, signal and first step+

Business pressure

Inconsistent job titles and missing contact details in the directory cause confusion and hinder internal communication.

Value signal

Reduction in blank or incorrectly formatted directory fields

Practical first step

Export a subset of directory data without sensitive personal details to test the error identification rules.

Relevant to

Manufacturing · Retail · Insurance

069

People & Workplace Advanced Months Sense

Mapping internal skills against project requirements

Resource managers can use analytical tools to compare self-reported employee skills and past project experience against the requirements of upcoming work.

Pressure, signal and first step+

Business pressure

Finding the right internal staff for new projects is difficult when skills data is scattered across different systems and CVs.

Value signal

Visibility of available internal skills for new projects

Practical first step

Consolidate skills data from a single department into a secure environment to test the matching capability.

Relevant to

Technology · Construction · Professional Services

070

People & Workplace Frontier Months Predict

Forecasting future workforce capability needs

Strategic planning teams can use predictive models to analyse industry trends and business growth plans, estimating which skills will be needed in the coming years.

Pressure, signal and first step+

Business pressure

Long-term recruitment and training plans are often based on guesswork, leaving the business unprepared for shifts in market demand.

Value signal

Alignment between training investments and projected business needs

Practical first step

Run a pilot forecast for a single business unit using historical growth data and public industry reports.

Relevant to

Automotive · Telecommunications · Energy & Utilities

071

Legal, Risk & Compliance Quick win Days Generate

Drafting responses to routine legal queries

Legal teams can use language models to draft initial responses to common internal questions about policies or standard terms, allowing lawyers to review and approve rather than writing from scratch.

Pressure, signal and first step+

Business pressure

High volumes of repetitive internal questions delay responses to critical legal matters and frustrate staff.

Value signal

Reduction in time spent drafting replies to common internal queries

Practical first step

Collate a set of frequently asked internal questions and test drafting responses in an approved AI environment.

Relevant to

Professional Services · Technology · Retail

072

Legal, Risk & Compliance Quick win Days Assist

Extracting key dates and clauses from supplier contracts

Procurement and legal staff can use text extraction tools to quickly pull renewal dates, liability caps and termination notice periods from standard supplier agreements into a summary table.

Pressure, signal and first step+

Business pressure

Manual review of historical contracts during supplier renegotiations is slow and risks missing critical deadlines.

Value signal

Time saved when reviewing standard supplier agreements

Practical first step

Select a sample of non-sensitive standard supplier agreements to test extraction accuracy against manual review.

Relevant to

Manufacturing · Telecommunications · Logistics

073

Legal, Risk & Compliance Quick win Days Assist

Summarising regulatory updates and policy changes

Compliance officers can use AI tools to generate plain-English summaries of lengthy regulatory publications, helping risk owners quickly understand the gist of new policy changes.

Pressure, signal and first step+

Business pressure

Keeping pace with lengthy regulatory publications requires significant reading time and delays the communication of important changes.

Value signal

Faster distribution of regulatory summaries to internal stakeholders

Practical first step

Test summarising a recent, publicly available regulatory update using an approved AI tool.

Relevant to

Financial Services · Pharmaceuticals · Energy & Utilities

074

Legal, Risk & Compliance Quick win Weeks Assist

Comparing internal policies against new compliance standards

Risk teams can use document comparison tools to highlight gaps between existing internal policies and newly published industry standards, focusing human review on areas needing updates.

Pressure, signal and first step+

Business pressure

Manually cross-referencing internal documents against new external standards is tedious and prone to oversight.

Value signal

Reduction in manual reading time during policy gap analysis

Practical first step

Run a comparison between a single internal policy and a new external standard using non-sensitive documents.

Relevant to

Healthcare · Education · Public Sector

075

Legal, Risk & Compliance Quick win Weeks Automate

Organising and indexing historical compliance records

Compliance teams can use AI classification tools to automatically tag and sort large volumes of historical compliance documents by topic, date and relevance, making them easier to search.

Pressure, signal and first step+

Business pressure

Disorganised historical records make it difficult to locate specific compliance evidence during audits or reviews.

Value signal

Improved searchability and retrieval speed for historical compliance files

Practical first step

Pilot the classification tool on a small, archived folder of non-sensitive compliance records.

Relevant to

Insurance · Real Estate · Construction

076

Legal, Risk & Compliance Quick win Days Generate

Drafting initial data privacy impact assessments

Privacy teams can use generative tools to draft preliminary sections of privacy impact assessments based on standard project documentation, leaving the complex analysis for human experts.

Pressure, signal and first step+

Business pressure

The growing volume of digital projects creates a bottleneck for privacy teams required to complete lengthy assessment forms.

Value signal

Reduction in time spent drafting the routine sections of privacy assessments

Practical first step

Use an approved AI tool to draft a preliminary assessment for a low-risk, internal project.

Relevant to

Technology · E-commerce · Media

077

Legal, Risk & Compliance Quick win Weeks Assist

Checking standard non-disclosure agreements for missing clauses

Legal departments can use AI review tools to quickly scan incoming standard non-disclosure agreements and flag if mandatory clauses, such as governing law or term limits, are missing.

Pressure, signal and first step+

Business pressure

Reviewing routine non-disclosure agreements consumes valuable legal time that could be spent on complex negotiations.

Value signal

Faster turnaround times for routine non-disclosure agreement reviews

Practical first step

Test the review tool on a batch of previously executed, standard non-disclosure agreements.

Relevant to

Professional Services · Consumer Goods · Hospitality

078

Legal, Risk & Compliance Quick win Weeks Automate

Triage and routing of compliance incident reports

Risk functions can use text analysis to categorise incoming compliance incident reports by topic and severity, automatically routing them to the correct team for investigation.

Pressure, signal and first step+

Business pressure

A generic inbox for compliance incidents leads to delays in assigning urgent matters to the appropriate investigators.

Value signal

Decrease in the time taken to assign new incident reports to investigators

Practical first step

Analyse a sample of past incident reports to identify the most common categories and routing rules.

Relevant to

Financial Services · Manufacturing · Automotive

079

Legal, Risk & Compliance Advanced Months Sense

Identifying patterns in historical contract disputes

Legal teams can use advanced text analytics across a large repository of past contract disputes to identify common ambiguous clauses that frequently lead to disagreements.

Pressure, signal and first step+

Business pressure

Recurring disputes over similar contract terms waste legal resources and damage commercial relationships.

Value signal

Identification of specific contract clauses that require redrafting to reduce future disputes

Practical first step

Consolidate documentation from a specific category of past disputes into a secure, searchable database.

Relevant to

Construction · Real Estate · Telecommunications

080

Legal, Risk & Compliance Frontier Months Govern

Mapping complex regulatory dependencies across global operations

Compliance functions can build sophisticated knowledge graphs that map how changes in one regional regulation might impact compliance requirements in other jurisdictions and business units.

Pressure, signal and first step+

Business pressure

Managing compliance across multiple global jurisdictions is highly complex, and isolated changes can have unforeseen knock-on effects.

Value signal

Improved visibility of cross-border compliance risks and dependencies

Practical first step

Map the regulatory dependencies for a single, well-understood product line across two jurisdictions.

Relevant to

Pharmaceuticals · Financial Services · Energy & Utilities

081

IT, Data & Cybersecurity Quick win Days Generate

Drafting responses to routine IT support queries

An AI assistant helps IT service desk staff draft replies to common employee questions about password resets, software access, and hardware requests. The staff member reviews and edits the suggested response before sending.

Pressure, signal and first step+

Business pressure

High volumes of routine technical queries delay responses to critical infrastructure incidents and frustrate staff.

Value signal

Average time to resolve routine support tickets

Practical first step

Pilot the assistant with a small group of service desk staff using a sample of common, non-sensitive queries.

Relevant to

Professional Services · Technology · Telecommunications

082

IT, Data & Cybersecurity Quick win Weeks Assist

Summarising technical documentation for legacy systems

An AI tool reads lengthy technical manuals and code comments for older software applications, generating concise summaries for new developers. This helps them understand the system architecture more quickly.

Pressure, signal and first step+

Business pressure

Institutional knowledge is lost when senior developers retire, leaving complex legacy systems difficult to maintain safely.

Value signal

Developer onboarding time and documentation coverage

Practical first step

Test the summarisation tool on a single, well-understood legacy module to verify accuracy.

Relevant to

Financial Services · Public Sector · Manufacturing

083

IT, Data & Cybersecurity Quick win Days Assist

Extracting information from vendor security questionnaires

An AI assistant scans incoming security questionnaires from potential clients or vendors, extracting key questions and suggesting answers based on the company's approved security policies. A security analyst reviews the final document.

Pressure, signal and first step+

Business pressure

Security teams spend excessive time manually completing repetitive compliance and security questionnaires.

Value signal

Time spent completing security questionnaires

Practical first step

Process a small batch of historical questionnaires to evaluate the accuracy of the extracted information.

Relevant to

Technology · Financial Services · Healthcare

084

IT, Data & Cybersecurity Quick win Weeks Sense

Checking software license compliance records

An AI tool compares software installation logs against purchased license agreements to highlight potential discrepancies. IT asset managers review the flagged items to ensure compliance and avoid penalties.

Pressure, signal and first step+

Business pressure

Manual tracking of software licenses across a large organisation is prone to errors and risks compliance fines.

Value signal

Accuracy of software license tracking

Practical first step

Run the comparison tool on a single department's software usage data as a proof of concept.

Relevant to

Professional Services · Media · Education

085

IT, Data & Cybersecurity Quick win Days Assist

Organising IT asset inventory spreadsheets

An AI assistant helps clean up and standardise messy IT asset inventory spreadsheets, identifying duplicate entries and formatting data consistently. IT staff review the suggested changes before updating the master record.

Pressure, signal and first step+

Business pressure

Inconsistent data entry makes it difficult to maintain an accurate inventory of company laptops and mobile devices.

Value signal

Time spent manually formatting inventory data

Practical first step

Apply the cleanup tool to a copy of the current inventory spreadsheet to assess the results.

Relevant to

Retail · Logistics · Consumer Goods

086

IT, Data & Cybersecurity Quick win Days Generate

Drafting internal IT policy updates

An AI tool helps IT managers draft updates to internal policies, such as acceptable use or remote work guidelines, by suggesting clear and accessible language based on industry standards. The manager reviews and refines the draft.

Pressure, signal and first step+

Business pressure

Writing and updating IT policies is time-consuming and often results in overly technical documents that staff struggle to understand.

Value signal

Time required to draft policy updates

Practical first step

Use the tool to draft a minor update to an existing, low-risk policy document.

Relevant to

Public Sector · Non-profit · Energy & Utilities

087

IT, Data & Cybersecurity Quick win Weeks Assist

Summarising weekly cybersecurity threat reports

An AI assistant reads lengthy industry threat intelligence reports and generates a brief summary of the most relevant risks for the organisation. The Chief Information Security Officer uses this summary to brief the executive team.

Pressure, signal and first step+

Business pressure

Security leaders struggle to keep up with the volume of threat intelligence and communicate key risks effectively to non-technical executives.

Value signal

Time spent reviewing threat intelligence reports

Practical first step

Generate summaries for a week's worth of historical reports and compare them against manual summaries.

Relevant to

Financial Services · Insurance · Telecommunications

088

IT, Data & Cybersecurity Quick win Weeks Assist

Categorising IT procurement requests

An AI tool reviews incoming IT procurement requests and suggests categories (e.g., hardware, software, services) based on the description. The procurement team reviews the suggestions before processing the orders.

Pressure, signal and first step+

Business pressure

Manual categorisation of procurement requests slows down the purchasing process and delays project delivery.

Value signal

Speed of processing IT procurement requests

Practical first step

Test the categorisation tool on a sample of past procurement requests to verify its accuracy.

Relevant to

Manufacturing · Construction · Real Estate

089

IT, Data & Cybersecurity Advanced Months Sense

Identifying patterns in network access logs

An AI system analyses large volumes of network access logs to highlight unusual login times or locations. Security analysts review these flagged events to investigate potential compromised accounts.

Pressure, signal and first step+

Business pressure

Security teams cannot manually review millions of daily access logs to spot subtle indicators of account compromise.

Value signal

Time to detect potential account compromises

Practical first step

Run the analysis on a limited subset of historical access logs in a secure, offline environment.

Relevant to

Technology · E-commerce · Hospitality

090

IT, Data & Cybersecurity Frontier Months Assist

Reviewing code for common security vulnerabilities

An AI tool scans new software code before deployment to identify common security flaws, such as hardcoded passwords or injection vulnerabilities. Developers review the findings and apply fixes before the code goes live.

Pressure, signal and first step+

Business pressure

Manual code reviews are time-consuming and may miss subtle security vulnerabilities that could be exploited by attackers.

Value signal

Number of security vulnerabilities identified before deployment

Practical first step

Pilot the scanning tool on a non-critical internal application to evaluate the relevance of its findings.

Relevant to

Financial Services · Healthcare · Technology

091

Product, R&D & Engineering Quick win Weeks Assist

extract key product feedback from customer comments

Product teams often receive large volumes of customer comments and support messages. AI can assist by scanning these texts to highlight common feature requests and issues, helping teams prioritise development focus.

Pressure, signal and first step+

Business pressure

Teams find it time-consuming to manually review and categorise extensive customer feedback for product improvements.

Value signal

Number of feedback items tagged by category

Practical first step

Use an AI tool to analyse a recent batch of customer emails or reviews with sensitive data removed.

Relevant to

Retail · Consumer Goods · Technology

092

Product, R&D & Engineering Quick win Days Generate

create first drafts of technical manuals from notes

Writing technical manuals can delay product releases. AI can help by generating initial drafts from engineers’ notes and code comments, which can then be reviewed and refined by technical writers.

Pressure, signal and first step+

Business pressure

Engineers spend significant time drafting documentation instead of focusing on product development.

Value signal

Time saved in preparing initial document drafts

Practical first step

Pilot AI-generated drafts using a small set of existing engineering notes.

Relevant to

Manufacturing · Technology · Telecommunications

093

Product, R&D & Engineering Quick win Weeks Assist

search past designs and patents using natural language queries

Finding relevant past designs or patents can be difficult. AI-powered search tools enable teams to enter simple queries and quickly locate related documents, reducing duplicated work.

Pressure, signal and first step+

Business pressure

Teams spend excessive time searching for relevant historical design information.

Value signal

Reduction in time spent searching archives

Practical first step

Index a small collection of past project files and test search accuracy.

Relevant to

Automotive · Manufacturing · Energy & Utilities

094

Product, R&D & Engineering Quick win Days Assist

summarise test reports for prototype evaluations

Prototype testing generates detailed reports that can be lengthy to review. AI can summarise key findings and highlight potential issues, helping engineers focus on critical insights.

Pressure, signal and first step+

Business pressure

Reviewing extensive test documentation slows decision-making during product development.

Value signal

Number of test reports summarised per week

Practical first step

Test AI summarisation on a set of recent prototype evaluation documents.

Relevant to

Automotive · Manufacturing · Construction

095

Product, R&D & Engineering Quick win Weeks Automate

organise and tag engineering project files automatically

Engineering teams accumulate many files that can be hard to organise. AI can assist by automatically tagging and categorising documents based on content, improving file retrieval.

Pressure, signal and first step+

Business pressure

Difficulty in maintaining orderly project documentation slows collaboration and increases errors.

Value signal

Number of files correctly tagged and organised

Practical first step

Run an AI tagging tool on a sample folder of engineering documents.

Relevant to

Construction · Manufacturing · Real Estate

096

Product, R&D & Engineering Quick win Days Assist

assist in preparing meeting notes and action items

Meetings with product teams generate important discussions and decisions. AI can help by transcribing and summarising meeting notes, highlighting action points for follow-up.

Pressure, signal and first step+

Business pressure

Manual note-taking and follow-up tracking can be inconsistent and time-consuming.

Value signal

Number of meetings with AI-generated summaries

Practical first step

Pilot AI note-taking in a small number of internal product meetings.

Relevant to

Technology · Professional Services · Education

097

Product, R&D & Engineering Quick win Weeks Generate

automate routine reporting on product development progress

Regular status reports are essential but often repetitive. AI can generate draft reports from project management data, which team members can review and adjust before distribution.

Pressure, signal and first step+

Business pressure

Preparing frequent progress reports takes time away from core development activities.

Value signal

Time saved in report preparation

Practical first step

Connect AI tools to project tracking software to create draft reports.

Relevant to

Financial Services · Healthcare · Manufacturing

098

Product, R&D & Engineering Quick win Days Assist

support quality checks by comparing design versions

Ensuring consistency across design revisions is critical. AI can assist by comparing document versions and flagging differences for human review, reducing errors before final approval.

Pressure, signal and first step+

Business pressure

Manual comparison of design documents is error-prone and time-consuming.

Value signal

Number of discrepancies identified in document reviews

Practical first step

Test AI comparison on a pair of recent design document versions.

Relevant to

Manufacturing · Construction · Automotive

099

Product, R&D & Engineering Advanced Months Assist

analyse sensor data to anticipate prototype maintenance needs

Prototype testing generates sensor data that can indicate potential issues. AI can help by analysing this data to identify patterns suggesting maintenance before failures occur, supporting planning.

Pressure, signal and first step+

Business pressure

Unexpected prototype failures cause delays and increase costs during development.

Value signal

Reduction in unplanned prototype downtime

Practical first step

Collect and review historical sensor data from recent prototype tests for initial analysis.

Relevant to

Manufacturing · Automotive · Energy & Utilities

100

Product, R&D & Engineering Frontier Strategic horizon Simulate

simulate product performance using virtual models

Understanding how products perform over time helps improve design. AI can support by simulating product behaviour under different conditions using virtual models, aiding design decisions with human oversight.

Pressure, signal and first step+

Business pressure

Limited visibility into product performance over time can delay improvements and increase risk.

Value signal

Usefulness of simulation insights in design reviews

Practical first step

Develop a simple virtual model for a recently launched product to test simulation capabilities.

Relevant to

Manufacturing · Automotive · Construction

101

Supply Chain, Logistics & Field Work Quick win Weeks Automate

Extraction of customs declaration data from shipping documents

AI models read incoming shipping manifests and invoices to extract structured data for customs clearance, reducing manual data entry effort and lowering the risk of compliance errors at the border.

Pressure, signal and first step+

Business pressure

Manual processing of international shipping documents causes delays and increases the risk of costly border compliance errors.

Value signal

Reduction in manual document processing time

Practical first step

Audit current shipping document formats to identify the most common templates for initial AI extraction testing.

Relevant to

Logistics · Retail · Manufacturing

102

Supply Chain, Logistics & Field Work Quick win Weeks Assist

Search assistance for field engineer maintenance manuals

Field technicians use a conversational interface to query thousands of pages of technical manuals on mobile devices, finding specific repair procedures instantly while working on complex machinery in remote locations.

Pressure, signal and first step+

Business pressure

Field engineers waste valuable time searching through extensive technical documentation while on site for equipment repairs.

Value signal

Decrease in average time to locate technical information

Practical first step

Collate a clean repository of technical manuals for a specific equipment category to build the knowledge base.

Relevant to

Energy & Utilities · Telecommunications · Manufacturing

103

Supply Chain, Logistics & Field Work Quick win Days Automate

Categorisation of supplier communication and delivery updates

Natural language processing automatically categorises incoming supplier emails regarding delivery schedules and delays, routing urgent issues to procurement teams for immediate action rather than waiting for manual inbox triage.

Pressure, signal and first step+

Business pressure

Procurement teams struggle to identify urgent supplier delays hidden within high volumes of daily email correspondence.

Value signal

Faster identification of critical supplier delays

Practical first step

Connect a secure AI text classifier to a shared procurement inbox to monitor incoming supplier messages.

Relevant to

Retail · Manufacturing · Construction

104

Supply Chain, Logistics & Field Work Quick win Days Generate

Drafting routine supplier performance reports

An AI assistant compiles data from delivery logs and quality checks to draft monthly supplier performance summaries, allowing procurement managers to review and edit the text before sending it to vendors.

Pressure, signal and first step+

Business pressure

Procurement managers spend hours manually collating data and writing repetitive performance reviews for dozens of suppliers.

Value signal

Reduction in time spent drafting monthly supplier reports

Practical first step

Provide the AI with anonymised delivery data and three examples of previous supplier reports to test drafting quality.

Relevant to

Consumer Goods · Retail · Automotive

105

Supply Chain, Logistics & Field Work Quick win Days Assist

Summarising daily logistics incident logs

Language models process daily shift reports and incident logs from multiple distribution centres, creating a concise morning briefing that highlights key delays or equipment issues for logistics directors.

Pressure, signal and first step+

Business pressure

Logistics directors struggle to quickly identify critical operational issues buried in lengthy daily shift reports from multiple sites.

Value signal

Faster morning review of critical logistics incidents

Practical first step

Run a week of historical shift reports through a secure summarisation tool to evaluate the accuracy of the generated briefings.

Relevant to

Logistics · E-commerce · Retail

106

Supply Chain, Logistics & Field Work Quick win Weeks Automate

Checking inventory records against physical count sheets

An AI tool compares scanned physical inventory count sheets against the warehouse management system records, automatically highlighting discrepancies for human review and investigation.

Pressure, signal and first step+

Business pressure

Warehouse staff spend hours manually cross-referencing paper count sheets with digital inventory records, leading to fatigue and missed errors.

Value signal

Decrease in time required to reconcile physical inventory counts

Practical first step

Test the comparison tool using a small batch of scanned count sheets and exported inventory data from a single product aisle.

Relevant to

Retail · Manufacturing · Pharmaceuticals

107

Supply Chain, Logistics & Field Work Quick win Weeks Automate

Organising digital freight forwarding documents

AI automatically sorts and renames incoming digital freight documents such as bills of lading, packing lists, and certificates of origin, saving them into the correct customer and shipment folders.

Pressure, signal and first step+

Business pressure

Freight forwarding administrators waste significant time manually downloading, renaming, and filing hundreds of daily shipping documents.

Value signal

Reduction in manual document filing time

Practical first step

Set up a pilot folder structure and test the AI sorting tool with a sample of 50 common freight documents.

Relevant to

Logistics · Manufacturing · Agriculture & Food

108

Supply Chain, Logistics & Field Work Quick win Days Assist

Triage of field service customer queries

An AI system reviews incoming customer requests for field service visits, categorising them by urgency and equipment type to help dispatchers prioritise scheduling.

Pressure, signal and first step+

Business pressure

Dispatchers struggle to quickly identify urgent repair requests within a high volume of routine maintenance inquiries.

Value signal

Faster identification and routing of urgent field service requests

Practical first step

Deploy a text classifier on a sample of historical service requests to verify its ability to accurately identify urgent issues.

Relevant to

Telecommunications · Energy & Utilities · Real Estate

109

Supply Chain, Logistics & Field Work Advanced Months Predict

Predictive inventory positioning across regional distribution networks

Machine learning algorithms analyse historical sales patterns and local events to predict regional demand fluctuations, allowing logistics teams to position inventory closer to end customers before orders are actually placed.

Pressure, signal and first step+

Business pressure

Unpredictable local demand spikes lead to stockouts in regional hubs and expensive expedited shipping from central warehouses.

Value signal

Improvement in regional inventory availability metrics

Practical first step

Consolidate three years of regional sales data and local event calendars into a unified analytical environment.

Relevant to

Retail · Consumer Goods · E-commerce

110

Supply Chain, Logistics & Field Work Frontier Months Optimise

Dynamic route optimisation for last mile delivery fleets

Routing algorithms continuously process live traffic conditions and delivery window constraints to suggest adjusted driver schedules, helping dispatchers maintain drop density while meeting strict customer service level agreements.

Pressure, signal and first step+

Business pressure

Static delivery routes fail to account for daily traffic variations and lead to missed customer delivery windows.

Value signal

Increase in successful first time delivery rates

Practical first step

Integrate vehicle telematics data with existing order management systems to establish a baseline for route performance.

Relevant to

Logistics · Retail · Hospitality

111

Sector-Specific & Frontier Quick win Days Assist

Extracting compliance clauses from construction contracts

Legal and commercial teams can use AI to scan lengthy construction contracts and extract specific compliance clauses, safety requirements, and penalty conditions into a structured summary for easier review.

Pressure, signal and first step+

Business pressure

Reviewing complex construction contracts manually takes hours and risks missing critical compliance obligations.

Value signal

Reduction in time spent on initial contract review

Practical first step

Test the extraction tool on a small sample of past, non-sensitive contracts to verify accuracy.

Relevant to

Construction · Legal Services · Real Estate

112

Sector-Specific & Frontier Quick win Weeks Generate

Drafting routine patient discharge summaries

Medical administrative staff can use AI to draft standard patient discharge summaries based on clinical notes, allowing healthcare professionals to review and approve the documents more quickly.

Pressure, signal and first step+

Business pressure

Healthcare staff spend significant time writing routine discharge paperwork, delaying patient processing.

Value signal

Decrease in administrative time spent per patient discharge

Practical first step

Pilot the drafting tool using anonymised clinical notes in a secure, approved environment.

Relevant to

Healthcare · Public Sector

113

Sector-Specific & Frontier Quick win Days Assist

Summarising daily shift handover logs

Manufacturing supervisors can use AI to summarise detailed shift handover logs into concise bullet points, highlighting critical equipment issues and production targets for the incoming team.

Pressure, signal and first step+

Business pressure

Incoming shift managers struggle to quickly digest lengthy handover notes, risking miscommunication.

Value signal

Faster and more consistent shift handover briefings

Practical first step

Run the summarisation tool on a week of historical handover logs to evaluate the output quality.

Relevant to

Manufacturing · Energy & Utilities

114

Sector-Specific & Frontier Quick win Weeks Sense

Categorising customer feedback for retail products

Retail product teams can use AI to automatically categorise customer reviews and feedback forms by topic, such as sizing, quality, or delivery, making it easier to identify common issues.

Pressure, signal and first step+

Business pressure

Product managers lack the time to manually read and sort thousands of customer reviews to spot emerging trends.

Value signal

Quicker identification of recurring product issues

Practical first step

Apply the categorisation model to a batch of public product reviews to assess its accuracy.

Relevant to

Retail · E-commerce · Consumer Goods

115

Sector-Specific & Frontier Quick win Days Govern

Checking insurance claim forms for missing information

Insurance claims handlers can use AI to scan incoming claim forms and flag missing fields or inconsistent information before the manual review process begins.

Pressure, signal and first step+

Business pressure

Claims processing is frequently delayed because staff must manually identify and chase up incomplete information.

Value signal

Reduction in the number of incomplete claims reaching manual review

Practical first step

Test the scanning tool on a set of anonymised, historical claim forms to check its flagging accuracy.

Relevant to

Insurance · Financial Services

116

Sector-Specific & Frontier Quick win Weeks Assist

Organising educational resources by curriculum topic

Teaching staff can use AI to tag and organise digital learning materials, worksheets, and reading lists according to specific curriculum topics, making resources easier to find.

Pressure, signal and first step+

Business pressure

Educators spend excessive administrative time searching for and organising teaching materials for different classes.

Value signal

Less time spent searching for relevant teaching resources

Practical first step

Pilot the tagging system on a single department's shared resource drive.

Relevant to

Education · Public Sector

117

Sector-Specific & Frontier Quick win Days Generate

Preparing routine supplier update emails

Procurement teams can use AI to draft suggested email responses to common supplier questions regarding invoice status or delivery schedules, which staff can review and send.

Pressure, signal and first step+

Business pressure

Procurement staff are overwhelmed by repetitive supplier emails, taking time away from strategic sourcing.

Value signal

Faster response times to standard supplier inquiries

Practical first step

Create a set of standard prompts and test them on historical, non-sensitive supplier queries.

Relevant to

Logistics · Manufacturing · Retail

118

Sector-Specific & Frontier Quick win Weeks Sense

Comparing hotel booking data against local event schedules

Hospitality managers can use AI to cross-reference upcoming hotel booking data with local event schedules, helping them anticipate busy periods and adjust staffing levels accordingly.

Pressure, signal and first step+

Business pressure

Hotel managers struggle to manually track local events and align their staffing rosters with unexpected demand spikes.

Value signal

Better alignment of staff rosters with anticipated guest volume

Practical first step

Run a comparison using past booking data and historical event schedules to see if the tool identifies known peaks.

Relevant to

Hospitality · Travel

119

Sector-Specific & Frontier Advanced Months Automate

Automating the initial triage of IT support tickets

Technology support desks can implement AI to automatically read incoming support tickets, categorise the issue, and route it to the appropriate specialist team based on historical resolution patterns.

Pressure, signal and first step+

Business pressure

First-line support staff spend too much time manually reading and assigning tickets, delaying resolution for complex issues.

Value signal

Decrease in the average time taken to assign tickets to the correct team

Practical first step

Train the triage model on a large dataset of resolved tickets to ensure accurate categorisation before live deployment.

Relevant to

Technology · Telecommunications · Professional Services

120

Sector-Specific & Frontier Frontier Months Predict

Predicting seasonal inventory demand across regional warehouses

Supply chain planners can use advanced machine learning models to analyse historical sales, weather patterns, and economic indicators to forecast inventory requirements across different regional distribution centres.

Pressure, signal and first step+

Business pressure

Relying on basic historical averages leads to overstocking in some regions and stockouts in others during volatile seasonal shifts.

Value signal

Improved accuracy in regional inventory allocation

Practical first step

Develop a proof-of-concept model using data from a single product category and a limited number of warehouses.

Relevant to

Logistics · Retail · Consumer Goods