Agent Use Case Library
Forty-eight AI agent use cases across eight business functions. Each one is a short lesson: what the agent does, where a person stays in the loop, and the metric that proves it worked.
Warm-up · Three questions
Answer three questions. We pull the three use cases that fit best and tell you, in plain English, where we would start.
The best first agent is the most ambitious one. Go big or it will not get noticed.
The best first agent has a clear metric, a willing owner and few systems. A Starter case that ships in weeks earns the trust and budget for the advanced ones.
Search by task, system or keyword, narrow by function, industry and complexity, and save the ones worth discussing.
Try a broader search or clear the filters. If the workflow you have in mind is not here, tell us about it and we will tell you whether an agent fits.
Each entry is a starting pattern, not a promise. The right first agent depends on your systems, your data and where your people spend their time.
Save up to ten use cases that match a real pain point in your business, then print it or share the link with your team.
Bring the shortlist to a discovery call. We will look at the systems, the approval points and the metric with you.
Pick the agent with the clearest metric and the fewest blockers, and put it into production.
Field guide
Three habits we use to judge any agent idea, in this library or out of it.
The best use cases sit on a queue: held invoices, open tickets, unanswered requests. The routine items move fast already. The exceptions wait for someone to look up three systems and send an email. That is the work an agent does well.
Rule of thumbIf a queue has an owner and a backlog, it has a use case.
Every entry names one approval point. It sits where a mistake would cost money, break a commitment or reach a customer. Everything before it is preparation the agent can do at speed. We recommend capping the automated share around 80% for most tasks.
Rule of thumbApprove where money moves, promises are made or customers are touched.
Each case names the metric it should move. Baseline it before the build, then pair it with a quality check and the override rate: how often the approver changes the agent's work. Speed without quality is not a win.
Rule of thumbNo baseline, no pilot. Four weeks of data is enough.
Save up to ten use cases. Your shortlist stays in this browser.
Nothing saved yet. Use the bookmark on any card, or "Save to shortlist" inside a use case.
Take it with you
We build custom assessments, skills and internal apps as part of our engagements. Tell us what you need.