Decision Record / The category

The decision record,
not the model.

Models will change. The record of what was known, recommended, approved, decided and what happened must persist.
LIVING DECISION RECORD
Governed decision lifecycle
  1. Evidence · lineage linked
    RECORDED
  2. Deterministic intelligence · reproducible output
    RECORDED
  3. Model-assisted reasoningEvidence-referenced · advisory
    RECORDED
  4. Human authorityReview lead · signed off
    AUTHORITY
  5. Decision record ·
    RECORDED
  6. OutcomeExpected state ↔ observed state
    RECORDED
  7. MemoryPatterns surfaced for human review
    REVIEW
Illustrative structure · No customer or production data · Fields vary by workflow

What it contains

Why AI-era enterprises need it.

Question and context

What was being decided, and the circumstances around it.

Evidence and sources

Provenance for inputs, calculations and supported explanations.

Assumptions and risks

What had to be true, and what could go wrong.

AI and agent contributions

Advisory analysis, kept distinct from human judgment.

Judgment and approvals

Overrides, conditions and who approved the decision.

Decision and history

The final decision with timestamps and versioned changes.

Outcome

What happened afterward, where it is recorded.

Auditability, with defined limits.

Supported calculations can be reconstructed from recorded inputs, rulesets and outputs. Over time, records can inform human-reviewed learning. Universal replay, a complete record for every decision, or automatic learning is not claimed.

Begin with one consequential decision.

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