AI claims processing bounded by mathematical proofs. Eradicating arbitrary denials through constitutional halt architecture. Pilot program currently operating in Minneapolis, MN.
Using standard LLMs to process VA claims introduces the unacceptable risk of hallucination. If a statistical model hallucinates a reason for denial, a veteran loses critical benefits.
VetProof removes this risk. The AI operates within a Prover-Critic-Verifier loop. Before any denial or routing decision is executed, the system must generate a formal mathematical proof (via Lean 4) that the decision strictly adheres to Title 38 CFR regulations. If it cannot prove the decision is valid, the system halts and flags it for human review.
The claimant's files are securely parsed. Medical evidence and service records are translated into a formal logical representation via the XAL protocol.
An LLM generates a proposed adjudication trajectory. This is treated as an untrusted hypothesis, not a final decision.
The hypothesis is passed to the Lean 4 theorem prover. If the hypothesis violates Title 38 CFR logic, it fails the proof check. The agent is forced to retry or halt.