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Operating record · Phase Zero

One record, four altitudes

Automation without context makes the wrong thing faster. The operating record captures owner, evidence, support, policy, and value — then renders the same fact at the depth each reader needs.

Operating record

This workflow is governed.

The same fact, read at four altitudes.

  1. L0Buyer

    Your AI work has an owner and an audit trail.

  2. L1Customer

    Workflow #482 — owner: Platform team; policy: active; support: on call.

  3. L2Team

    Gate: data-egress · 47/47 green · last run 12:04 · 2 approvals on file.

  4. L3Engineer

    policy_id=egress-v3; sha=a1b2c3; evidence=12 artifacts; replay=ok.

Week-one knowledge inventory

Week-one knowledge inventory

Context starts scattered. Before anything runs unattended, the record is built in four moves.

  • Discover

    Find the context scattered across drives, wikis, ticket comments, and people's heads — Notion, Confluence, Google Docs, GitHub, internal wikis.

  • Classify

    Sort what's been found by owner, sensitivity, and policy — so each piece of context has a place in the record.

  • Connect

    Link the context to the workflows it governs. AI drafts policy, owner, and runbook edits; a human approves.

  • Keep current

    Read via REST and signed, retryable, replayable webhooks; custom connectors via MCP — the record stays live as the work changes.

Start with the record

Accepting design partners — pricing on the call.