Case studies

AI outcomes in practice.

Each of these started as a workflow somebody was doing by hand. What follows is the problem, what we built, and what changed.

Public sector

Public sector Intelligence & monitoring

Analyst briefings cut from six hours to twenty minutes

One system continuously collects, filters, analyses and surfaces relevant information across thousands of sources — replacing a manual review cycle that could never keep up.

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Financial services

Financial services Document intelligence

Submission review cut from four hours to twenty-five minutes

Underwriters receive a structured, sourced summary of every submission instead of a folder of PDFs — with the exceptions that need a human decision pushed to the top.

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Manufacturing

Manufacturing Knowledge systems

Twenty years of service documentation, answerable in one question

Field engineers ask in plain language and get the answer from the correct manual revision for the machine in front of them — with the page attached.

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Professional services

Professional services Workflow automation

Proposals drafted from twelve years of precedent

Bid teams start from a draft assembled out of the firm's own winning work instead of from a blank document and a folder of old proposals.

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Let's Talk

Your workflow is probably on this list somewhere.

If it is not, that is worth a conversation too — most of these were new to us before they were case studies.

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