AI can take on work that involves reading, writing, finding, sorting, predicting, or checking. This map collects 100 proven ways established companies use it, across ten business functions, with the value each one creates and the metric that shows whether it works. Use it to see what is possible, then find what is worth doing first in your business.
By Ville Ylläsjärvi, Herman Foundry · Updated 8 October 2026
100 opportunitiesProven AI use cases across 10 business functions, written for established companies.
Value and measureEach one says what value it creates and which metric shows whether it is working.
Effort and timeEach one is rated by effort and time to first evidence, so you can start where results come quickly.
001 · ProductProblem it solves“Customers can’t find what they need in our product unless they use the exact words.”How to measureSearch success rate and zero-result searches#
Natural-language search in your product
Customers describe what they need in their own words and the product finds the right item, record, or setting, instead of relying on exact keywords and filters.
ValueCustomers find what they came for more often, which lifts usage and conversion and reduces “I couldn’t find it” support requests.
Medium effort · evidence in months
002 · ProductProblem it solves“New and occasional users get stuck on complex tasks and give up.”How to measureTask completion rate for assisted vs. unassisted users#
In-product assistant for complex tasks
A guided assistant inside the product that helps users complete multi-step tasks, explains options, and fills in forms from context.
ValueMore users reach the outcome they bought the product for, especially new or occasional users, which supports retention and expansion.
High effort · evidence in quarters
003 · ProductProblem it solves“Customers buy one thing from us when they could use several.”How to measureAttach rate or revenue per active customer#
Personalised recommendations
Suggests the next product, content, or action based on each customer’s behaviour and similar customers, with simple rules for what must never be suggested.
ValueHigher basket size, engagement, or attach rate without adding more sales or merchandising effort.
Medium effort · evidence in months
004 · ProductProblem it solves“Customers don’t see the value in their own data unless they build reports.”How to measureWeekly active usage and renewal rate of summary users#
Automatic summaries of customer data
The product writes short, readable summaries of the customer’s own data: what changed this week, what needs attention, what is unusual.
ValueCustomers see the product’s value without building their own reports, which strengthens renewal conversations.
Low effort · evidence in weeks
005 · ProductProblem it solves“Customers waste time typing in data from documents and photos.”How to measureShare of uploads processed without manual correction#
Smart document and image intake
Customers upload invoices, photos, contracts, or forms and the product extracts the fields automatically, asking only when it is unsure.
ValueRemoves manual data entry for customers, a common reason for churn and a strong reason to choose your product over alternatives.
Medium effort · evidence in months
006 · ProductProblem it solves“Customers only hear from our product after something has already gone wrong.”How to measureAlert precision and incidents avoided per customer#
Predictive alerts for customers
Warns customers before a problem happens, such as a stock-out, a failing device, a missed deadline, or a budget overrun, based on patterns in their data.
ValueMoves the product from record-keeping to prevention, which customers will pay more for and rarely give up.
High effort · evidence in quarters
007 · ProductProblem it solves“Our product only feels native in one or two languages.”How to measureActivation and conversion rates in new-language markets#
Multilingual product experience
Interface text, help content, and user-generated content translated and adapted for each market, reviewed by people where it matters.
ValueOpens new markets without a full localisation project per language, and makes existing international customers feel served.
Low effort · evidence in weeks
008 · ProductProblem it solves“Customers order the wrong configuration or need an expert to help them buy.”How to measureOrder error rate and configuration completion rate#
Configuration and quote helper
Helps customers configure a complex product or service correctly by asking a few questions and checking compatibility rules.
ValueFewer invalid orders and returns, and a buying experience that does not require a call with an expert.
Medium effort · evidence in months
009 · ProductProblem it solves“Product decisions follow the loudest request, not the most common problem.”How to measureShare of roadmap items backed by clustered evidence#
Usage insights for the product team
Clusters product feedback, support tickets, and usage patterns into themes the product team can act on, linked to the customers behind them.
ValueProduct decisions based on what many customers actually struggle with, not the loudest request.
Low effort · evidence in weeks
010 · ProductProblem it solves“Parts of our product are hard or impossible to use for some customers.”How to measureAccessibility audit score and coverage of key flows#
Accessibility improvements at scale
Generates alt text, captions, plain-language versions, and readable summaries for product content, with human review for key flows.
ValueReaches customers who are excluded today and reduces compliance risk under accessibility regulation.
011 · New businessProblem it solves“Our revenue only grows when we add more expert hours.”How to measureRevenue and margin of the digital offer#
Expertise packaged as a digital service
Turns the know-how your experts apply in projects into a self-service or assisted digital offer, such as an assessment, a planner, or a diagnostic.
ValueRevenue that does not scale with consultant hours, and a way to serve smaller customers profitably.
High effort · evidence in quarters
012 · New businessProblem it solves“We sit on valuable operational data that earns nothing.”How to measurePaying data-product customers and renewal rate#
Data products from operational data
Aggregated, anonymised insights from the data your business already generates, offered to customers, partners, or the industry.
ValueA new revenue line from an existing asset, and a stronger position as the reference in your market.
High effort · evidence in quarters
013 · New businessProblem it solves“Existing customers have no reason to pay us more.”How to measureUpgrade rate and revenue per customer#
Premium “insight” tier for existing customers
An upgraded tier where AI adds analysis, benchmarks, or recommendations on top of the service customers already buy.
ValueHigher revenue per customer from the existing base, without acquiring new customers.
Medium effort · evidence in months
014 · New businessProblem it solves“Smaller customers are too expensive for us to serve profitably.”How to measureContribution margin per small customer#
Serving a smaller customer segment
Uses AI to automate the parts of your service that made small customers unprofitable, such as onboarding, reporting, and routine advice.
ValueAccess to a segment you could not serve before, with economics that work at a lower price point.
Medium effort · evidence in quarters
015 · New businessProblem it solves“We sell hours or units while customers want guaranteed outcomes.”How to measureShare of revenue under outcome-based contracts#
Outcome-based service model
Uses monitoring and prediction to sell outcomes, such as uptime, availability, or savings, instead of hours or units.
ValueDifferentiated contracts, longer customer relationships, and pricing tied to the value delivered.
High effort · evidence in quarters
016 · New businessProblem it solves“Customers need partners we know, but we have no good way to connect them.”How to measureSuccessful matches and revenue per match#
Partner and marketplace matching
Matches customers with the right partners, suppliers, or providers in your ecosystem based on needs, capacity, and fit.
ValueCommission or platform revenue, and an ecosystem that becomes harder for competitors to replicate.
High effort · evidence in quarters
017 · New businessProblem it solves“Testing a new offer takes months and a big budget.”How to measureCost and time per validated or rejected idea#
Rapid testing of new offers
Builds landing pages, demos, and simulated customer conversations to test demand for a new offer before building it.
ValueFewer expensive bets on offers nobody buys; more options explored for the same budget.
Low effort · evidence in weeks
018 · New businessProblem it solves“Entering a new market means hiring a local team before we know it works.”How to measurePipeline and first revenue from the new market#
Entering a new language market
Localises sales material, support, and onboarding for a new market quickly, with native-speaker review of what customers see first.
ValueA faster, cheaper way to test a new market before hiring a local team.
Medium effort · evidence in months
019 · New businessProblem it solves“Tailoring our offer to each customer takes expert time we can’t scale.”How to measurePrice premium and customer satisfaction for tailored offers#
Personalised products at scale
Generates tailored versions of a product or service, such as itineraries, training plans, reports, or designs, for each customer within defined rules.
ValueA premium, personal offer that previously required expert time for every customer.
Medium effort · evidence in months
020 · New businessProblem it solves“Internal tools we built well only benefit us.”How to measureExternal licences and revenue#
Licensing your own models or tools
Packages an internal AI tool that works well, such as a quality checker or planner, for use by peers or adjacent industries.
ValueRevenue from an internal capability, and proof that your company leads in its field.
High effort · evidence in quarters
AI in sales
More time with the right buyers, better proposals, and fewer deals lost to slow follow-up. All sales opportunities →
021 · SalesProblem it solves“Our sellers spend too long preparing for meetings, or go in unprepared.”How to measureMeeting-to-opportunity conversion#
Account research before every meeting
A one-page brief on each prospect before a meeting: what they do, recent news, likely priorities, and the people involved, drawn from public sources and your CRM.
ValueBetter first meetings and more relevant proposals, without sellers spending an hour preparing for each one.
Low effort · evidence in weeks
022 · SalesProblem it solves“Sellers spend time on leads that were never going to buy.”How to measureWin rate and revenue per seller#
Lead prioritisation
Scores incoming leads and existing accounts on fit and buying signals so sellers focus on the ones most likely to buy now.
ValueMore revenue from the same sales capacity, because time goes where the chances are highest.
Medium effort · evidence in months
023 · SalesProblem it solves“Proposals take days, and slow responses lose deals.”How to measureTime from request to proposal and proposal win rate#
Proposal and quote drafting
Drafts proposals from approved content, pricing rules, and the customer’s brief; the seller reviews and personalises before sending.
ValueFaster responses to requests, which often decides who wins, and more consistent quality across the team.
Medium effort · evidence in months
024 · SalesProblem it solves“Our CRM is out of date because sellers don’t have time to update it.”How to measureSeller admin time and CRM data completeness#
Meeting notes and CRM updates
Records and summarises sales calls, extracts next steps and commitments, and updates the CRM automatically for the seller to confirm.
ValueSellers spend their time selling, and leadership gets a pipeline that reflects reality.
Low effort · evidence in weeks
025 · SalesProblem it solves“Deals go quiet because follow-ups slip.”How to measureShare of opportunities with follow-up within 48 hours#
Follow-up that does not slip
Drafts timely, personal follow-ups after meetings and flags deals that have gone quiet, with a suggested next step.
ValueFewer deals lost to silence, and a steadier pipeline without extra headcount.
Low effort · evidence in weeks
026 · SalesProblem it solves“We skip tenders we could win because answering takes too long.”How to measureTenders submitted and win rate#
Tender and RFP responses
Finds relevant tenders, checks requirements against your capabilities, and drafts answers from previous responses and approved material.
ValueMore tenders answered with the same team, and better answers to the ones that matter.
Medium effort · evidence in months
027 · SalesProblem it solves“New sellers take too long to become effective.”How to measureRamp time and conversion by sales stage#
Sales coaching from real calls
Reviews recorded calls against your sales method and gives each seller specific feedback on discovery, objections, and next steps.
ValueFaster ramp-up for new sellers and consistent improvement for experienced ones.
Medium effort · evidence in months
028 · SalesProblem it solves“Discounts are given out of habit, not according to the deal’s value.”How to measureAverage discount and gross margin per deal#
Pricing and discount guidance
Suggests a price or discount range for each deal based on comparable deals, customer value, and margin rules.
ValueProtects margin by reducing unnecessary discounting while keeping competitive deals winnable.
Medium effort · evidence in months
029 · SalesProblem it solves“We miss chances to sell more to customers who already trust us.”How to measureExpansion revenue and net revenue retention#
Expansion signals in the customer base
Spots existing customers likely to buy more, such as growing usage, new sites, or new needs mentioned in support, and alerts the account owner.
ValueRevenue growth from customers who already trust you, at a fraction of new-customer acquisition cost.
Medium effort · evidence in months
030 · SalesProblem it solves“Resellers sell our offer poorly and rely on our team for answers.”How to measurePartner-sourced revenue and partner support requests#
Partner and channel enablement
Gives resellers and partners an assistant that answers product questions, configures offers, and drafts proposals with your approved content.
ValuePartners sell more of your offer, more accurately, with less support from your team.
031 · MarketingProblem it solves“We know our field but rarely publish anything about it.”How to measureContent published per month and organic traffic#
Content production with a human editor
Drafts articles, case studies, and social posts from interviews, notes, and expertise in the company; an editor shapes the final version.
ValueA steady flow of credible content from a small team, built on real expertise rather than generic text.
Low effort · evidence in weeks
032 · MarketingProblem it solves“Buyers researching our category don’t find us, in search or in AI assistants.”How to measureRankings, citations in AI answers, and organic leads#
Search and AI-assistant visibility
Identifies the questions buyers ask search engines and AI assistants, and structures your content so you are the cited answer.
ValueBeing found when buyers research, as more research moves to AI assistants.
Medium effort · evidence in months
033 · MarketingProblem it solves“Our campaigns say the same thing to every audience.”How to measureResponse and conversion rate by segment#
Campaign personalisation by segment
Adapts messaging, examples, and offers for each customer segment, industry, or role, within approved positioning.
ValueHigher response rates because each audience sees why it matters to them.
Low effort · evidence in weeks
034 · MarketingProblem it solves“Our messaging uses our words, not our customers’.”How to measureMessage test results and win/loss themes#
Customer insight from reviews and calls
Analyses reviews, sales calls, and support conversations to find the words customers use, what they value, and why they choose competitors.
ValueMessaging and positioning grounded in what customers actually say.
Low effort · evidence in weeks
035 · MarketingProblem it solves“We hear about competitors’ moves too late.”How to measureTime from competitor change to internal briefing#
Competitor monitoring
Tracks competitors’ websites, pricing, launches, hiring, and messaging, and summarises what changed and why it matters.
ValueEarlier reaction to competitive moves, and sales teams equipped with current comparisons.
Low effort · evidence in weeks
036 · MarketingProblem it solves“We test too few ad and landing-page ideas to learn what works.”How to measureCost per acquisition and tests run per month#
Creative variants for testing
Generates image, headline, and copy variations for ads and landing pages so more ideas can be tested with real audiences.
ValueBetter-performing campaigns found faster, with less agency or design time per test.
Low effort · evidence in weeks
037 · MarketingProblem it solves“Leads go cold between first contact and a sales conversation.”How to measureLead-to-opportunity conversion#
Lead nurturing that responds to behaviour
Adjusts email and content sequences based on what each lead reads and does, and hands warm leads to sales with context.
ValueMore leads become sales conversations, and sales receives them at the right moment.
Medium effort · evidence in months
038 · MarketingProblem it solves“We can’t tell which marketing spend actually brings revenue.”How to measureMarketing-sourced revenue per euro spent#
Marketing performance analysis
Pulls campaign, web, and CRM data together and explains in plain language what is working, what is not, and where to move budget.
ValueBudget decisions based on evidence, made in hours instead of at the end of the quarter.
Medium effort · evidence in months
039 · MarketingProblem it solves“Events create interest that fades before we follow up.”How to measureMeetings booked per event#
Event and webinar follow-through
Turns events and webinars into summaries, clips, articles, and personalised follow-ups for attendees and no-shows.
ValueMore value from every event, and follow-up while interest is still fresh.
Low effort · evidence in weeks
040 · MarketingProblem it solves“Content from different teams and partners doesn’t sound like one company.”How to measureContent passing review on first submission#
Brand consistency checks
Reviews content from across the company and partners against your voice, terminology, and claims guidelines before publication.
ValueA consistent brand at higher volume, and fewer risky or inaccurate claims reaching the market.
041 · Customer experienceProblem it solves“Customers wait too long for answers to simple questions.”How to measureResolution rate without handover and customer satisfaction#
Answers to routine questions, any time
An assistant answers common questions on your website, app, or messaging channels from approved knowledge, and hands over to a person when needed.
ValueCustomers get answers immediately, and your team focuses on the questions that need judgment.
Medium effort · evidence in months
042 · Customer experienceProblem it solves“Our service team writes the same answers again and again.”How to measureFirst response time and handling time per ticket#
Draft replies for the service team
Suggests a reply to each incoming email or ticket with the relevant facts from the customer’s history; the agent edits and sends.
ValueFaster, more consistent responses without removing the human from the conversation.
Low effort · evidence in weeks
043 · Customer experienceProblem it solves“Urgent requests wait in the queue or reach the wrong person.”How to measureMisrouted tickets and time to resolution for urgent cases#
Ticket triage and routing
Reads incoming requests, sets urgency and topic, and routes them to the right person or team with a summary.
ValueUrgent issues reach the right person first, and fewer tickets bounce between teams.
Low effort · evidence in weeks
044 · Customer experienceProblem it solves“Customers hear about delays from us only after they complain.”How to measureInbound contacts per disruption and satisfaction scores#
Proactive service messages
Detects delays, disruptions, or likely issues and informs affected customers before they have to ask, with a clear next step.
ValueFewer complaints and inbound contacts, and customers who feel looked after.
Medium effort · evidence in months
045 · Customer experienceProblem it solves“Our best customers expect a personal touch we can’t always remember to give.”How to measureRetention and spend of premium customers#
Personal concierge for premium customers
Gives account managers or hosts an assistant that remembers each customer’s preferences and history and suggests personal touches.
ValueA more personal premium experience that scales beyond what one person can remember.
Medium effort · evidence in months
046 · Customer experienceProblem it solves“New customers take too long to get value, and some leave early.”How to measureTime to first value and early churn#
Onboarding that adapts to each customer
Guides new customers through setup with steps tailored to their goals and pace, and alerts your team when someone is stuck.
ValueCustomers reach value sooner, which is one of the strongest predictors of long-term retention.
Medium effort · evidence in months
047 · Customer experienceProblem it solves“We find out customers are unhappy when they cancel.”How to measureRetention rate of flagged customers after intervention#
Churn risk early warning
Combines usage, support, and payment signals to flag customers at risk of leaving, with the likely reason and a suggested action.
ValueTime to save customers before they decide to leave.
Medium effort · evidence in months
048 · Customer experienceProblem it solves“We collect feedback but don’t know what really drives it.”How to measureRepeat complaints on top themes#
Feedback analysis across channels
Reads surveys, reviews, tickets, and calls together and reports the main drivers of satisfaction and complaints, with examples.
ValueLeadership sees what customers experience, not only scores, and can fix root causes.
Low effort · evidence in weeks
049 · Customer experienceProblem it solves“We can’t serve customers well in their own language.”How to measureSatisfaction and resolution time for non-native-language contacts#
Multilingual customer service
Lets your team serve customers in their own language with real-time translation of messages and calls, reviewed where it matters.
ValueInternational customers served well without a native speaker for every language.
Low effort · evidence in weeks
050 · Customer experienceProblem it solves“We review only a few service conversations, so mistakes repeat.”How to measureQuality score coverage and repeat errors#
Quality review of every conversation
Reviews all service conversations, not a small sample, for accuracy, tone, and policy, and highlights coaching opportunities.
ValueConsistent service quality and fewer mistakes repeated across the team.
051 · OperationsProblem it solves“People spend hours typing data from invoices, orders and forms.”How to measureDocuments processed without manual touch and error rate#
Document processing
Extracts data from invoices, orders, delivery notes, and contracts and enters it into your systems, with people checking exceptions.
ValueLess manual entry, fewer errors, and faster processing of routine paperwork.
Medium effort · evidence in months
052 · OperationsProblem it solves“We staff and buy on gut feel and end up with too much or too little.”How to measureForecast accuracy and stock-outs or overstock#
Demand forecasting
Forecasts demand from history, seasonality, bookings, and external signals such as weather or events, and explains what drives each forecast.
ValueBetter staffing, purchasing, and inventory decisions, with less waste and fewer shortages.
Medium effort · evidence in months
053 · OperationsProblem it solves“Planning schedules takes hours and falls apart whenever something changes.”How to measureUtilisation and planner hours per week#
Scheduling and resource planning
Proposes schedules for staff, equipment, vehicles, or rooms that respect skills, rules, and preferences; planners adjust and approve.
ValueHigher utilisation and less planning time, especially when plans change at short notice.
High effort · evidence in quarters
054 · OperationsProblem it solves“We chase suppliers by email and still get surprised.”How to measureLate confirmations and on-time delivery#
Supplier communication and follow-up
Tracks confirmations, deliveries, and open questions with suppliers, drafts follow-ups, and flags what is at risk.
ValueFewer surprises from late or missing confirmations, and less chasing by email.
Low effort · evidence in weeks
055 · OperationsProblem it solves“Information gets lost when work passes between teams.”How to measureIncidents traced to incomplete handovers#
Handoff checks between teams
Checks that every handover, such as sales to delivery or booking to operations, contains the information the next team needs.
ValueLess rework and fewer service failures caused by missing information.
Low effort · evidence in weeks
056 · OperationsProblem it solves“Equipment breaks down without warning.”How to measureUnplanned downtime hours#
Predictive maintenance
Uses sensor and service data to predict equipment failures and schedule maintenance before breakdowns.
ValueLess unplanned downtime and lower repair costs.
High effort · evidence in quarters
057 · OperationsProblem it solves“Defects slip through because inspection can’t check everything.”How to measureDefect escape rate and inspection cost per unit#
Quality inspection with computer vision
Cameras and image models check products, installations, or documents for defects, consistently and at full volume.
ValueFewer defects reaching customers, and inspectors focusing on the difficult cases.
High effort · evidence in quarters
058 · OperationsProblem it solves“We don’t know where we overpay suppliers.”How to measureSavings identified and realised#
Procurement analysis
Analyses spend, contracts, and supplier performance to find savings, duplicate suppliers, and contract terms worth renegotiating.
ValueDirect cost savings and better supplier terms.
Medium effort · evidence in months
059 · OperationsProblem it solves“Closing the books each month takes too long.”How to measureDays to close and manual reconciliation hours#
Finance close and reconciliation
Matches transactions, explains variances, and prepares reconciliations and commentary for the finance team to review.
ValueA faster monthly close, fewer late adjustments, and finance time for analysis instead of matching.
Medium effort · evidence in months
060 · OperationsProblem it solves“We find compliance gaps during audits, not before.”How to measureOpen compliance gaps and audit findings#
Compliance and safety monitoring
Checks processes, records, and documents against regulations and internal rules, and flags gaps before audits.
ValueLower risk of fines and incidents, and audits that take less preparation.
061 · EngineeringProblem it solves“Our development team can’t keep up with what the business needs.”How to measureLead time for changes and throughput per developer#
AI-assisted software development
Developers use coding assistants and agents to write, refactor, and explain code under clear review rules.
ValueMore delivered work from the same team, especially on routine changes and unfamiliar code.
Low effort · evidence in weeks
062 · EngineeringProblem it solves“Our releases break things customers notice.”How to measureTest coverage of critical paths and escaped defects#
Automated test creation
Generates and maintains tests for existing and new code, focusing on the most business-critical paths.
ValueSafer, faster releases and fewer regressions reaching customers.
Medium effort · evidence in months
063 · EngineeringProblem it solves“Code reviews are slow and still miss bugs.”How to measureDefects found in review vs. production#
Code review support
Reviews every change for bugs, security issues, and standards before a human reviewer, who focuses on design and intent.
ValueProblems caught earlier and reviewers’ time spent where judgment is needed.
Low effort · evidence in weeks
064 · EngineeringProblem it solves“Critical old systems are understood by only a few people.”How to measureMigration velocity and incidents during migration#
Legacy system modernisation
Explains, documents, and helps migrate old code and systems that few people still understand.
ValueReduced dependency on a few experts, and modernisation projects that cost less and carry less risk.
High effort · evidence in quarters
065 · EngineeringProblem it solves“Outages take too long to diagnose and fix.”How to measureMean time to recovery#
Incident analysis and response
Correlates logs, alerts, and recent changes during incidents to suggest likely causes and fixes, and drafts the post-incident review.
ValueShorter outages and faster learning from each one.
Medium effort · evidence in months
066 · EngineeringProblem it solves“Our technical documentation is missing or out of date.”How to measureOnboarding time and documentation freshness#
Technical documentation that stays current
Generates and updates documentation for systems, APIs, and products from the code and change history.
ValueFaster onboarding of engineers and partners, and fewer questions to the people who built it.
Low effort · evidence in weeks
067 · EngineeringProblem it solves“Engineers spend too much time on routine calculations and checks.”How to measureDesign cycle time and rework after review#
Design and engineering calculations support
Assists engineers with standard calculations, specifications, and design checks against requirements and norms, with engineer sign-off.
ValueFaster design iterations and fewer errors in routine engineering work.
Medium effort · evidence in months
068 · EngineeringProblem it solves“We have more security alerts than we can handle.”How to measureTime to fix critical vulnerabilities#
Security vulnerability triage
Prioritises security findings by real exposure and business impact, and proposes fixes for engineers to apply.
ValueThe most dangerous issues fixed first, without the team drowning in alerts.
Medium effort · evidence in months
069 · EngineeringProblem it solves“Teams work around missing tools with spreadsheets.”How to measureHours saved by tools in use#
Internal tools built in days
Uses AI-assisted development to build the small internal tools teams have waited years for, such as dashboards, forms, and workflows.
ValueRemoves daily friction for teams and frees them from spreadsheets and manual workarounds.
Low effort · evidence in weeks
070 · EngineeringProblem it solves“Engineers spend time on repetitive technical chores.”How to measureTasks completed by agents and failure rate#
Agent workflows for routine operations
Agents perform defined technical tasks end to end, such as data syncs, environment setup, or report runs, within permissions and with monitoring.
ValueRoutine technical work done reliably without engineer time, and a foundation for wider automation.
071 · KnowledgeProblem it solves“People can’t find the information they need, so they ask colleagues instead.”How to measureQuestions answered with a source and time saved per employee#
Company knowledge assistant
Employees ask questions in plain language and get answers from your documents, policies, and systems, with sources and permissions respected.
ValueLess time searching and asking colleagues, and fewer decisions made on outdated information.
Medium effort · evidence in months
072 · KnowledgeProblem it solves“Key know-how lives in a few people’s heads.”How to measureCritical processes documented and owned#
Capturing expert knowledge
Interviews experienced staff and turns their know-how into guides, checklists, and examples before they retire or move on.
ValueKnow-how stays in the company, and newer staff reach expert level faster.
Low effort · evidence in weeks
073 · KnowledgeProblem it solves“New hires take months to become productive.”How to measureTime to productivity for new hires#
New employee onboarding
A guided onboarding assistant that answers questions, explains how things work, and adapts to the role.
ValueNew hires become productive sooner with less time required from managers and colleagues.
Low effort · evidence in weeks
074 · KnowledgeProblem it solves“Decisions made in meetings get lost or forgotten.”How to measureAction items completed on time#
Meeting summaries and decisions
Summarises meetings into decisions, owners, and deadlines, and makes them searchable across the company.
ValueDecisions are remembered and followed through, and fewer meetings are needed to repeat context.
Low effort · evidence in weeks
075 · KnowledgeProblem it solves“HR and finance answer the same policy questions every week.”How to measureRoutine questions handled without HR or finance#
Policy and process Q&A
Answers employee questions about HR policies, travel, purchasing, and security rules from the current approved versions.
ValueFewer routine questions to HR and finance, and more consistent application of policies.
Low effort · evidence in weeks
076 · KnowledgeProblem it solves“Every project starts from scratch and repeats old mistakes.”How to measureEstimate accuracy on new projects#
Project learning library
Analyses past projects, bids, and post-mortems so teams can find comparable cases, estimates, and lessons for new work.
ValueBetter estimates and fewer repeated mistakes on new projects.
Medium effort · evidence in months
077 · KnowledgeProblem it solves“Training material is out of date because updating it is too much work.”How to measureTraining completion and assessment results#
Training content from existing material
Turns manuals, recordings, and procedures into short lessons, quizzes, and refreshers in several languages.
ValueTraining kept current at a fraction of the production effort.
Low effort · evidence in weeks
078 · KnowledgeProblem it solves“Contract reviews are slow, and unfavourable terms slip through.”How to measureReview turnaround and deviations caught#
Contract and document review
Reviews contracts and documents against your standard terms and highlights deviations and risks for a lawyer or manager.
ValueFaster reviews and fewer unfavourable terms slipping through.
Medium effort · evidence in months
079 · KnowledgeProblem it solves“We miss regulatory and market changes that affect us.”How to measureRelevant changes caught before they affect the business#
Research and market monitoring
Monitors regulations, research, and industry news relevant to your business and delivers short, sourced briefings.
ValueLeadership and experts stay informed without hours of reading.
Low effort · evidence in weeks
080 · KnowledgeProblem it solves“Product and pricing information is scattered and contradictory.”How to measureConflicting or outdated records found and fixed#
Single source of truth for product information
Consolidates product, service, and pricing information scattered across files and systems into one maintained, owned source.
ValueEveryone, and every AI tool, works from correct information, which most other opportunities depend on.
081 · DataProblem it solves“Managers wait days for an analyst to answer simple questions.”How to measureQuestions answered without analyst involvement#
Ask your data in plain language
Managers ask questions such as “which customers grew most this quarter?” and get answers from your data with the query shown.
ValueFaster decisions without waiting for an analyst, and analysts freed for deeper work.
Medium effort · evidence in months
082 · DataProblem it solves“Reports take days to build and few people read them.”How to measureHours spent producing reports#
Automated management reporting
Produces recurring reports with commentary that explains what changed and why, ready for review.
ValueReports that arrive on time and are read, with less manual work every month.
Low effort · evidence in weeks
083 · DataProblem it solves“We don’t trust the numbers in our systems.”How to measureData quality score of key tables#
Data quality monitoring
Detects missing, duplicated, and inconsistent records across systems and suggests corrections to the data owner.
ValueTrustworthy data for reporting and AI, and fewer errors downstream.
Medium effort · evidence in months
084 · DataProblem it solves“We find problems in the numbers at month end, when it’s too late.”How to measureTime from anomaly to detection#
Anomaly detection
Watches key numbers, such as sales, costs, payments, and usage, and alerts when something unusual happens, with a likely explanation.
ValueProblems and fraud found in hours instead of at month end.
Medium effort · evidence in months
085 · DataProblem it solves“We treat all customers the same, whatever their value to us.”How to measureRevenue and margin by segment after targeting#
Customer segmentation
Groups customers by behaviour and value to reveal segments that deserve different offers, service levels, or pricing.
ValueMarketing, sales, and service effort directed where it creates the most value.
Medium effort · evidence in months
086 · DataProblem it solves“Our prices are set once and rarely revisited.”How to measureGross margin and price realisation#
Pricing optimisation
Analyses price sensitivity, demand, and competitor prices to recommend prices by product, season, or customer group.
ValueHigher margin and revenue from better-calibrated prices.
High effort · evidence in quarters
087 · DataProblem it solves“Valuable information sits in emails, notes and calls we can’t analyse.”How to measureDecisions using newly structured sources#
Unstructured data made usable
Turns emails, notes, call recordings, and documents into structured data that can be counted, searched, and analysed.
ValueInsight from the large share of company information that never reaches a report.
Medium effort · evidence in months
088 · DataProblem it solves“We can’t quickly see what a decision would do to revenue and cash.”How to measurePlan accuracy and time to produce scenarios#
Scenario planning
Models the effect of decisions and external changes, such as prices, costs, demand, or hiring, on revenue, cash, and capacity.
ValueBetter-prepared decisions and faster reaction when conditions change.
Medium effort · evidence in months
089 · DataProblem it solves“Our systems don’t talk to each other, so people move data by hand.”How to measureManual data transfers eliminated#
Integrating disconnected systems
Uses AI to map, clean, and connect data between systems that were never designed to work together.
ValueOne view of customers and operations without a large integration project.
High effort · evidence in quarters
090 · DataProblem it solves“We’re unsure who can access what data, and how AI tools use it.”How to measureSensitive data classified and access exceptions resolved#
Privacy and data access governance
Classifies sensitive data, checks who can access what, and monitors how AI tools use company data.
ValueLower regulatory risk and the confidence to use data and AI more widely.
091 · ManagementProblem it solves“Leaders spend too much time collecting information before they can act.”How to measureLeadership time spent on status updates#
Executive briefing every morning
A short daily brief for leaders on key numbers, risks, customer issues, and decisions waiting, drawn from company systems.
ValueLeaders spend less time collecting information and more time acting on it.
Low effort · evidence in weeks
092 · ManagementProblem it solves“Preparing board and investor materials takes days every quarter.”How to measureHours to prepare board materials#
Board and investor materials
Drafts board packs, investor updates, and commentary from financial and operational data for management to refine.
ValueBetter materials in less time, and consistent reporting quarter after quarter.
Low effort · evidence in weeks
093 · ManagementProblem it solves“Big decisions are made on incomplete information and untested assumptions.”How to measureDecisions revisited because of missing information#
Strategy and decision support
Structures strategic questions, gathers evidence, tests assumptions, and presents options with risks for the leadership team to decide.
ValueFaster, better-informed strategic decisions with assumptions made explicit.
Low effort · evidence in weeks
094 · ManagementProblem it solves“We find out initiatives are off track too late.”How to measureInitiatives delivered on time#
Goal and initiative tracking
Follows progress on goals and initiatives from project tools and data, and flags what is off track with a reason.
ValueProblems surfaced early enough to act, without a weekly reporting ritual.
Medium effort · evidence in months
095 · ManagementProblem it solves“We’re spending on AI without knowing what it delivers.”How to measureShare of AI spend with a measured result#
AI portfolio and value tracking
Keeps one register of AI initiatives with owners, costs, risks, and measured results, so investment follows evidence.
ValueAI spending tied to business results, and pilots that either scale or stop.
Low effort · evidence in weeks
096 · ManagementProblem it solves“Hiring takes too long, and the outcome depends on who interviews.”How to measureTime to hire and quality of hire#
Hiring and talent support
Writes clear role descriptions, screens applications against criteria, and prepares structured interviews; people make every decision.
ValueFaster, fairer hiring with less manager time per role.
Low effort · evidence in weeks
097 · ManagementProblem it solves“Every new piece of work seems to need another hire.”How to measureRevenue or output per employee#
Organisational design for an AI-enabled team
Maps roles and workflows to see which work agents can take on, where people add the most value, and what skills to build.
ValueA company that grows capability without growing overhead at the same rate.
Medium effort · evidence in quarters
098 · ManagementProblem it solves“Our risk register is updated once a year and soon out of date.”How to measureRisks identified before materialising#
Risk register that updates itself
Monitors internal data and external signals to keep the risk register current and highlight emerging risks.
ValueRisks managed before they become incidents, with less manual upkeep.
Medium effort · evidence in months
099 · ManagementProblem it solves“We learn why people are unhappy when they resign.”How to measureVoluntary turnover and engagement trend#
Employee pulse and engagement insight
Analyses surveys and anonymous feedback to show what affects engagement, team by team, while protecting privacy.
ValueEarlier action on issues that drive turnover and lost productivity.
Low effort · evidence in weeks
100 · ManagementProblem it solves“People use AI tools without rules, or avoid them out of uncertainty.”How to measureTrained staff and approved tool adoption#
AI policy, training, and safe use
Sets clear rules for which AI tools may be used with which data, trains staff, and monitors adoption.
ValueSafe, widespread use of AI across the company instead of hidden, risky experiments.
Low effort · evidence in weeks
Find your value
Which of these matter for your business?
The AI Value Canvas starts from the problems you recognise. Pick yours, rate how much solving each would matter and how ready you are, and see a prioritised map of where to start, with the AI answer to each. About ten minutes; nothing leaves your browser.
AI can take on work that involves reading, writing, finding, sorting, predicting, or checking: answering routine customer questions, drafting proposals, processing documents, forecasting demand, summarising data, and making company knowledge searchable. The value comes from applying it to a real business constraint, such as slow response times, manual rework, or expert time spent on routine tasks, and measuring the result against a baseline.
Where should a company start with AI?
Start with one business problem that has a clear owner, a measurable baseline, and data you can access. Low-effort opportunities that show evidence within weeks, such as meeting summaries, draft replies for customer service, or account research for sales, build confidence and skills before larger investments.
How do we know if an AI use case is valuable for us?
Estimate two things for your own business: the value if it works (time saved, revenue gained, risk reduced) and how easy it is to implement with your data, systems, and team. Opportunities that score high on both are your first candidates. The AI Value Canvas helps you do this with the 100 opportunities in this map.
What are the most common AI use cases in business?
The most widely adopted are customer service assistants and draft replies, sales research and proposal drafting, marketing content with human editing, document processing, meeting summaries, internal knowledge assistants, coding assistants, and automated reporting. They are common because they use data most companies already have and show results quickly.
Do we need our own data or a data team to use AI?
Not to begin. Many opportunities work with documents, emails, and systems you already use. Data quality becomes important as you scale: a single, maintained source of product, customer, and pricing information makes most AI applications more reliable.
Will AI replace our employees?
In most established companies, AI changes tasks rather than replacing whole roles. It takes on routine reading, writing, and checking so people can spend more time on judgment, relationships, and decisions. Each implementation should define what the AI may do, when a person approves, and who owns the outcome.
From map to decision
Ready to choose where to start?
A list of possibilities is the beginning. The work is choosing the few that fit your strategy, data, and team, and proving them in real work.