AI inside what you sell: features customers pay for, use more, and would miss. These are 10 proven AI use cases for product in established companies, each with the value it creates and the metric that shows whether it works. Quick places to start: automatic summaries of customer data, multilingual product experience, usage insights for the product team, accessibility improvements at scale.
By Ville Ylläsjärvi, Herman Foundry · Part of the 100-opportunity AI Opportunity Map
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.
Low effort · evidence in weeks
Next step
Find the product opportunities worth doing first.
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