SupportAn assistant that deflects the repetitive 60%
Grounded in your own help docs and past tickets, it answers the common questions instantly and hands the genuinely hard ones to a human — with the context already gathered.
Outcome: response time
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AI Use Case Library · by industry & outcome
AI use cases, filed by outcome.
A growing library of AI use cases we've actually built — organized by industry and by the outcome they move. Not a list of buzzwords, but concrete, proven applications: what the problem was, what AI did about it, and what changed. Find the one closest to yours.
by industry/by outcome/proven in production/matched to you
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01Why a library
Everyone has AI ideas. The useful question is which ones actually pay off.
The hard part of AI isn't imagining what it might do — it's knowing which applications are worth building and which are expensive demos. This library exists to answer that with evidence instead of hype: real use cases, each tied to a problem and an outcome, drawn from work we've actually shipped. We organize them by industry and by outcome so you can start from your own context — “what's worked for a business like mine” or “what moves the number I care about” — and we're just as willing to tell you when AI isn't the right tool at all.
02Featured use case
Document AIOutcome: hours saved
Turn a pile of PDFs into answers you can trust.
A team buried in contracts, reports, and policy documents, answering the same questions by hand. The use case: a grounded assistant that reads only your documents, answers with citations you can click through to, and says “not found” instead of inventing — so people get the answer in seconds and still trust where it came from. It's one of the most reliable patterns in the library, and one of the easiest to point at a clear number.
See the use case03The patterns inside
A handful of shapes, applied many ways.
Most AI use cases are variations on a few proven patterns. The library lets you browse by industry or by outcome — but underneath, these are the shapes that keep recurring.
- 01
Assistants & copilots
In-product helpers that answer, draft, and act — grounded in your data, not the open internet.
- 02
RAG over private docs
Question-answering across your own documents, with citations and an honest 'not found' instead of a guess.
- 03
Document & data extraction
Unstructured paperwork turned into structured, validated data — with a human on the uncertain cases.
- 04
Classification & routing
Tickets, emails, and records sorted to the right place automatically, at a volume people can't match.
- 05
Forecasting & anomaly detection
Spotting what's coming and what's off — demand, churn, fraud — early enough to actually act.
- 06
Generation & summarization
Drafting, rewriting, and condensing at scale, with guardrails so the output is safe to put in front of people.
Proven use cases, not slideware.
Every entry is grounded in something we've built — tied to a real problem and a number it moved.
04From the library
A few, by the outcome they move.
Support
OperationsExtraction that turns inboxes into structured data
Invoices, forms, and PDFs read automatically into clean, validated records — with a human in the loop only on the cases the model is genuinely unsure about.
Outcome: hours saved
RiskAnomaly detection that catches it before it costs
Quietly learning what normal looks like across your data, then flagging the fraud, the churn signal, or the outage early enough that someone can actually act on it.
Outcome: risk reduced
05What earns a place
Proven, measured, and worth it.
Proven, not theoretical
Every use case has actually run — shipped or scoped in detail — not lifted from a vendor's slide deck.
Tied to an outcome
Each one names the number it moves: hours, revenue, accuracy, response time, risk. No outcome, no entry.
Honest about fit
If ordinary software or a process change would beat AI, we say so. The library is for what's actually worth building.
Find the use case closest to yours.
Tell us your industry and the outcome you're after — we'll match you to the nearest proven use case.
Find your use case06Questions
The things people ask first.
Concrete AI use cases we've actually built or scoped — not a glossary of buzzwords. Each entry describes a real problem, the AI approach that addressed it, and the outcome it moved: hours saved, errors cut, response time dropped. They're organised so you can come at them from whichever direction you're thinking — the industry you're in, or the number you're trying to change.
Which AI use case fits you?
Tell us your industry and the outcome you're chasing, and we'll come back with the closest use cases we've delivered — the problem, the build, and the measurable result — in full detail under NDA, plus an honest read on whether AI is even the right tool.