AI in a public deliverable is now part of the public record.
Tokto records every prompt your program teams run across service delivery, analysis, and constituent support, ready for the program lead, the GC, the auditor general, and the IG.
Your team adopts a new AI tool for a public-facing deliverable this cycle. The program lead asks who validated it, the GC asks about the procurement, the auditor general asks for the record. No one has a single answer that matches.
- Every AI tool tied to a procurement, a vendor, a use case, a constituent, and a decision rule.
- A single record that the program lead, the GC, and the IG can read against the same evidence.
- Policy at the prompt: constituent data blocked, unverified AI output stopped, detection or proctoring tools held to bias testing before use.
- AI used at the speed of the program with the record the public can read.
- A new tool gets used across two programs before anyone notices. The IG finds out at review.
- A constituent-facing chatbot ships a fabricated citation in a public deliverable. FOIA arrives the next morning.
- A detection tool is used in a decision with no bias testing on file. A Title VI complaint follows.
- A program's AI cost runs over by 10x in a year. Nobody can say where it went.
Tokto sits inside every AI conversation in the agency. The constituent chatbot, the analysis co-pilot, the detection tool — all become records at the moment of use. The record carries the procurement, the use case, the model, and the policy that applied. Practitioners get the speed; the agency gets the trail.
When the program lead asks who used what, when the GC asks about the procurement, when the auditor general opens a review, the answer is one query. The team uses AI; the agency stops reacting FOIA-by-FOIA.