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Pilot

Test rawctx with one workflow.

Bring one AI workflow. We will record the answer evidence path and test whether it improves review completeness across model runs.

Good pilot fits

Start with a workflow whose evidence is reconstructed later.

Use rawctx when review evidence is spread across tickets, traces, files, and model logs.

Review evidence already exists

You have source documents, trace ids, media evidence, or policy snapshots that reviewers ask for later.

Review evidence already exists

You have source documents, trace ids, media evidence, or policy snapshots that reviewers ask for later.

AI or analytics workflows depend on interpretation

Your team is building an AI analyst, copilot, internal agent, or analytics workflow that needs reviewable evidence.

Domain language is specialized

Possible starting points include subscription billing, revenue operations, customer support, ecommerce, finance, healthcare, and product analytics.

Pilot inputs and outcomes

Define the evidence boundary before instrumentation starts.

The pilot is scoped around evidence coverage and reviewability, not a production readiness claim.

What to prepare
  • One AI workflow
  • One evidence source
  • One independent reference system
What you receive
  • Coverage report
  • Missing and late findings
  • Sample audit export
Success measures
  • Log coverage
  • Evidence retrieval time
  • Reviewer acceptance of the audit material
Data boundary

By default, the pilot sends hashes and references rather than raw evidence. Any broader data handling must be reviewed before it is added.

Production boundary

Moving from the pilot into production requires a separate security review and production scope.