Trust gap
AI agents are starting to call tools, recommend actions, and trigger workflows before teams have a reliable reliance checkpoint.
AI reliance infrastructure
ProofRelay provides pass/fail/review checkpoints for AI agents, APIs, MCP servers, and automated workflows. AI generates outputs; ProofRelay verifies whether the evidence supporting those outputs is strong enough to rely on before the next action happens.
AI agents are starting to call tools, recommend actions, and trigger workflows before teams have a reliable reliance checkpoint.
Generic logs show that something happened; they do not produce a deterministic pass/fail/review decision before downstream reliance.
Expensive domains need proof-pack discipline: real estate, title, lending, insurance, healthcare administration, grants, and compliance workflows.
requests a tool, API, document review, or workflow action
returns output, payment context, or evidence metadata
verifies bundle shape, receipts, authority, and replay context
continue, route to a human, or stop the action
Prevent autonomous agents from relying on weak evidence before a tool result, payment, or workflow action is trusted.
Add verification checkpoints before downstream systems rely on paid or sensitive tool outputs.
Create auditable verification records without exposing raw prompts, files, credentials, or private logs.
Verify proof-pack readiness before transaction, title, escrow, lending, or closing workflows advance.
| Feature | Manual review | Audit logs | ProofRelay |
|---|---|---|---|
| Automated checkpointing | No | No | Yes |
| MCP-aware verification | No | No | Yes |
| Evidence bundle validation | No | Partial | Yes |
| Pass/fail/review decisions | No | No | Yes |
| Human review routing | Manual | No | Yes |
The best early markets are where AI is being introduced, mistakes are expensive, evidence chains matter, and no dominant verification layer exists yet.