AI in government usually dies in the audit. We built so it passes.
We put lineage, policy checks and a kill switch into every agent and stood up an on-call governance pod. 14 agents went to production with zero audit gaps, and new rollouts now ship the same week as their review instead of waiting months.
Context.
Challenge. A public-sector body wanted AI in citizen services, but every prior attempt stalled in audit. Without lineage, policy enforcement and a clear human-override trail, nothing could be approved, so nothing shipped.
Constraint. Every decision had to be explainable and reversible, with a record an auditor and an ombudsman could both follow. Speed could not come at the cost of the paper trail.
Approach.
Wrote the governance spec with the audit team in the room, what every agent must log, who can approve an action, and what trips the kill switch. Turned it into enforceable technical policy, not a PDF.
Built the shared governance layer: lineage on every output, policy checks in the deploy pipeline, role-based approval, and a one-click kill switch. Wired the first agents through it.
Stood up an on-call governance pod and rolled the pattern across all 14 agents. New agents now inherit the controls by default and clear review the same week.
Stack.
"The audit team stopped being the thing that blocked AI and became the reason it could ship. That flip is the whole project."
, Programme lead, public-sector customer
30 minutes with the founder.
8-week engagement, fixed scope, fixed price.