Evaluating AI systems in the public sector
If you cannot say how often a system is right, you cannot deploy it responsibly or maintain it. This is a practical guide to building the evaluation suite that makes public sector AI defensible.
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Everything here comes out of engagements we have run, and you can read all of it in full.
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If you cannot say how often a system is right, you cannot deploy it responsibly or maintain it. This is a practical guide to building the evaluation suite that makes public sector AI defensible.
Almost every agency has run an AI pilot. Far fewer have anything in production. The blockers are consistent, predictable, and almost never about model quality.
A staged framework for agencies deciding what to do with AI: how to sort candidate use cases, what to prove at each gate, and how to build capability that carries from one use case to the next.
We set out where AI changes how an agency operates, where it does not, and how to tell the difference before you commit a budget to it.
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We are happy to talk it through with you, and we do not require a pitch meeting first.