AI use cases by role
AI use cases for owners and managers
You're the person every question lands on. These are the jobs AI can take off an owner's or manager's plate so the hours go back to decisions only you can make.
Idea Every entry here is an idea: a realistic way AI could help, not a claim about work we’ve done.
7 of 51 use cases
- Idea
Engagement letters from discovery notes
AI drafts the scope and engagement letter from your discovery notes, using your standard clauses. A partner reviews every term before it goes to the client.
- Idea
Grant application first drafts
AI drafts answers to a grant's questions from your past applications and program reports. A person checks every number and claim before it's submitted.
- Idea
Patterns in the maintenance log
AI reads free-text maintenance notes and groups recurring problems by machine, so a slow-building fault shows up before it stops the line.
- Idea
Status updates for long-running client work
AI drafts a short weekly update for each client from the project notes and task list; the person who owns the relationship edits and sends it.
- Idea
Summaries of long tender packages
AI pulls the scope, dates, requirements and penalties out of a long tender into a short summary with page references, so you can decide fast whether to bid.
- Idea
What the return reasons are telling you
AI groups the free-text reasons people give for returns, so a sizing problem or a bad batch shows up in weeks instead of months.
- Idea
What your reviews are actually saying
AI reads every review and groups them into themes, with counts and examples, so you see the three things customers keep mentioning instead of the loudest one.
Browse by role
How to read this list
Every entry is the same deal: AI takes the low-value work, and a person keeps the judgment. Not every task should go to AI, either. If a job follows fixed rules, an ordinary automation usually does it cheaper and more reliably, and we’ll say so when that’s the case.
The list is tool-neutral and it keeps growing. Want to talk through which of these fit your team? Get in touch.
Further reading
- Google Cloud: real-world generative AI use cases (large enterprises, mostly)
- Microsoft Scenario Library (scenarios by department, Microsoft tools)