AI use-case library
AI use cases for small and mid-size businesses
Realistic ideas for the low-value work AI can take off a person's plate, sorted by role and by industry. Each one says what stays with the person. Search it, filter it, and take what fits.
Idea Every entry here is an idea: a realistic way AI could help, not a claim about work we’ve done.
51 use cases
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A plain-language summary for buyers
AI drafts the summary page of an inspection report in plain words. The inspector checks it says exactly what the full report says, no more and no less.
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Adapted versions of the same lesson
AI drafts simpler or more advanced versions of a lesson or reading for different learners. The teacher checks each one for accuracy before it's used.
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Advice records for compliance files
AI drafts the record of advice from the client meeting. The advisor confirms it's accurate before it goes on file.
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Answering product questions from the spec sheet
AI answers shopper questions like "will this fit?" from your own product data, and hands anything it can't answer to a person.
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Answers to follow-up questions about a report
When a client writes back with questions, AI drafts an answer from the report itself, pointing to the section it came from. The inspector approves each reply.
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Board and committee minutes
From the meeting recording, AI drafts the minutes in your usual format: motions, decisions and action items. The secretary corrects and approves them.
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Change orders written while the details are fresh
When the scope changes on site, AI drafts the change order from a quick description and photos, ready for the client's sign-off. Pricing stays with the person who sets it.
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Checking a deliverable against the brief
Before a report goes out, AI compares it with what the client actually asked for and lists anything missed. The author decides what to fix.
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Cleaning up supplier product data
AI standardises messy supplier product data, like names, sizes and colours, into your format for import. A person spot-checks before it goes live.
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Customer email replies for the common questions
AI drafts replies to where's-my-order, returns and sizing questions from your policies and the order record. Staff send them, and anything unusual gets handed to a person.
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Daily site reports from a voice note
Before leaving site, the crew lead talks for two minutes; AI writes it up as the daily report: work done, delays, and materials needed.
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Discussion questions from a talk
AI drafts small-group discussion questions from a talk or sermon transcript. The leader picks and edits the ones worth asking.
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Document intake: what's here and what's missing
AI reads the documents a client submits, summarises each one and lists what's still missing for the file. A person confirms before anything is relied on.
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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.
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Feedback drafts on student work
AI drafts comments on a piece of work against your rubric. The teacher edits the comments and decides the grade; the AI never does.
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Finding the closest past proposal
AI searches past proposals for the one closest to a new opportunity and points out what needs changing, so nobody starts from a blank page.
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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.
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Inspection report narrative from field notes
AI turns checklist findings and dictated notes into clear paragraphs for the report. The inspector reviews every finding; the AI never decides what's a defect.
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Insurance pre-authorisation letters
AI drafts the pre-authorisation letter from the chart in the insurer's format. A clinician reviews and signs it.
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Intake form summaries before the visit
AI summarises a long intake form into what the clinician needs before the visit. Only in a tool approved for health information.
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Listing descriptions from the property details
AI drafts a listing description from the property details and photos. The agent checks every claim against the actual property before it's published.
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Patient education handouts
AI drafts plain-language handouts on common conditions or aftercare in the clinic's style. A clinician approves every handout before it's used.
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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.
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)