Use cases

What AI does well inside a business

Six jobs where we see AI earn its keep. Each guide covers how the workflow runs, which systems it touches, where a person approves, what to measure and what tends to go wrong.

Guides

6 use cases, in detail

Customer support automation

An agent answers routine questions from your own policies and account data, takes a small set of allowed actions, and hands everything else to a person with the case already summarised.

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Document processing

Invoices, forms and contracts are read, checked against your own records and posted to the right system, with low-confidence fields and failed checks sent to a person.

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Company knowledge search

Staff ask a question in plain language and get an answer drawn from your own documents, with citations, limited to what each person is already allowed to see.

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Sales research and follow-up

An agent prepares account briefs with a source for every claim, drafts follow-ups after meetings and proposes CRM updates. Reps approve what gets sent and what gets written.

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Questions over company data

Managers ask questions about sales, margin or operations in plain language and get figures from governed metric definitions, with the query shown so an analyst can check it.

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Back-office workflows

Reconciliations, approvals and onboarding are prepared by agents with the evidence attached, then routed to the right approver. Nothing is posted or paid without a person signing off.

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