Governance for multi-agent AI systems.

When AI agents work in chains, nobody tracks the chain. ProofRail does.

When a chain of agents produces the wrong output, you can't tell which handoff caused it. No trail. No accountability. ProofRail fixes that.

• 01 Track the full agent chain, not just individual agents. See every handoff, tool call, and downstream effect when one agent quietly passes risk to the next.
• 02 Apply policies collectively across the network. Catch unsafe outcomes that only emerge when multiple agents combine their actions into one decision path.
• 03 Route high-stakes decisions for human approval — with tamper-evident receipts. Leave an auditable record of what was proposed, what was blocked, and what was explicitly approved.