AI in public programs is now an auditable risk control.
Tokto gives the public-sector risk and compliance officer one record that ties every AI tool, every model output, and every vendor data flow to a procurement, a use case, and a decision rule, ready for the auditor general, the IG, the federal monitor, and the risk committee.
A DOJ consent decree puts a court-appointed monitor on an AI pricing platform the agency uses. A Title VI complaint reaches federal court on an AI tool. The auditor general opens a review. The risk officer is asked for the institution-wide AI risk assessment and the controls behind it, and has procurement files in three systems that do not line up.
- Every AI tool scored and recorded against a procurement, a vendor, a use case, a constituent, and a decision rule.
- A single evidence layer that the auditor general, the IG, the federal monitor, and the risk committee read against the same record.
- Policy enforced at the prompt: no AI in a public deliverable without verification, no detection tool without bias testing.
- AI risk that is measured per program, controlled at the prompt, and attestable to oversight.
- AI is never assessed as a program risk. It surfaces first as a seven-year consent judgment with a monitor.
- A detection tool ships without bias testing on file. The control gap is the Title VI exposure.
- An AI vendor uses non-public data to drive a public-dollar decision. The risk register never flagged it.
- The auditor general asks how AI risk is controlled. The CRO has a policy, not a record.
Tokto turns scattered AI deployments into a single managed risk. Every constituent chatbot, every detection tool, every pricing platform touching public dollars becomes a scored record tied to the procurement, the vendor, the decision rule, and the affected person. The risk function sees exposure by program rather than by FOIA request.
When a federal monitor asks for the AI audit trail, when a Title VI complaint reaches court, when the auditor general opens a review, the answer is one query against the system of record. The CRO reports AI risk across the institution instead of assembling it under deadline.