AuditSpine

Trusted Agentic execution to enterprise policies.

Trusted Results.

That’s the product and the outcome. AuditSpine is the trusted-Agentic-execution capability; Trusted Results is what you receive.

How: AuditSpine seals what the agent did, under whose direction, within which enterprise policy, and with what result — into mathematically verifiable, tamper-proof event chains. Every chain is independently re-verifiable any time by any authorized party: the owner, the operator, the customer, and everyone’s auditors.

For owners

You direct what AI agents are allowed to do, under which policies, and on whose behalf. AuditSpine seals that direction alongside what actually happened, so the record can’t be silently changed and you can prove what was authorized.

For operators

You run the agents and the workflows. AuditSpine sits alongside the work and seals the receipts — what ran, when, with which inputs, under which rule version — without co-mingling one customer’s evidence with another’s.

For customers

You receive sealed bundles you can verify on your own machine, offline, with no install — the URL is the capability, the seal is the proof. You don’t have to trust the operator; you re-derive the answer yourself.

For auditors — everyone’s

Carriers, regulators, internal compliance, external counsel: the same chains are re-verifiable by anyone the owner authorizes. Verification is structural, not vendor-attested.

AuditSpine and CircleSpine

AuditSpine is the trusted-Agentic-execution substrate. It seals every action against the rule that governed it, into chains anyone authorized can re-verify.

CircleSpine is customer-definable trusted agentic execution. You define the agents, the policies, the checkpoints, the lock points — the shape of what “trusted” looks like for your work — and CircleSpine runs that execution on AuditSpine. Same trusted-execution substrate; your shape.

Try the offline verifier from /download/; walk a real PI6 audit at /walk/; or talk to us about a pilot, a 7-day trial, or a meeting.