Eligibility, benefit decisions, and public service gates
Get the first drop when new signals land.
Most public-sector AI failures do not begin in the model. They begin when procurement cannot prove what was approved, by whom, for what scope, and whether reliance was still valid when the complaint arrived.
The UK debate over AI risk-scoring children exposes the real problem in public-sector AI: not just bias, but high-impact actions being triggered with no portable proof, no clear scope boundary, and no fail-closed controls. Good Proof is built for that gap.