AI Evidence Plane
Discuss one workflow
For enterprise leaders

Build operational trust in enterprise AI.

Give risk, compliance and the board a structured record of what was approved, what executed and how risk was remediated — connected evidence, not manual reconstruction.

ElementApprovedExecutedResult
Promptidentity-check v9identity-check v9Match
Model configprimary-gpt v3primary-gpt v3Match
Policy setpii-boundary v5pii-boundary v5Match
Tool scopedocument-store (read)document-store (read+write)Finding

Assurance is a comparison you can inspect — not an assumption.

The approved configuration is compared with what actually executed, field by field, for a single workflow run.

  • A mismatch is surfaced as a finding and can trigger governed remediation.
  • Comparisons run on metadata: keys, versions and hashes.

Six enterprise questions

The questions leaders should be able to answer

Once a workflow is instrumented and configured under AI Evidence Plane, each question has connected evidence behind the answer — not reconstruction from fragmented logs.

What was approved?

What actually executed?

Which controls were applied?

Where did the workflow change?

How was risk remediated?

What evidence supports the outcome?

Beyond static governance

Policy documents alone do not govern running systems

Frameworks and registers describe intent. Agentic AI changes behaviour at runtime, so governance must be enforced and evidenced where execution happens.

Governance that stops at approval cannot explain execution. AI Evidence Plane carries approval into execution and connects the outcome to evidence.

Leadership outcomes

What teams gain

Support audit readiness

Approved-versus-executed evidence available for review across governed workflows.

Evidence for regulatory review

Structured governance traces replace fragmented logs and spreadsheets.

Faster governed change

Clear approval states let teams ship governed change with less friction.

Reduced operational risk

Local enforcement and governed remediation contain failures early.

Clearer accountability

Approvals, human boundaries and remediation actions name accountable roles.

Approved-versus-executed visibility

Divergence between intent and operation surfaces as findings, not surprises.

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Build operational trust in enterprise AI

See how approved-versus-executed evidence is captured locally and shown centrally by reference.