Decision
Ledger
The institutional record that captures who decided what, under which authority, and with what degree of AI involvement — the audit layer that makes governance real.
Decisions must be captured as they are made — not reconstructed after incidents. Post-hoc audit trails are unreliable by design.
Every ledger entry must identify who held decision authority — human or AI — and under what governance framework.
The degree of AI involvement in each decision must be explicitly documented — from recommendation to autonomous action.
Every escalation from AI to human judgment must be recorded with full context — what triggered the escalation and what followed.
| Dimension | Without | With |
|---|---|---|
| Audit Trail | Reconstructed after incidents | Continuous, real-time recording |
| Accountability | Contested when failures occur | Clear attribution from the moment of decision |
| AI Involvement | Unknown, untracked | Explicitly documented at every step |
| Regulatory Response | Scramble to explain what happened | Immediate access to decision history |
| Institutional Learning | Lost with personnel turnover | Preserved in the permanent record |
"If you cannot show who decided, under what authority, and with what AI involvement — you do not have governance. You have an arrangement."
The governance architecture that defines what the Ledger must record and why.
The escalation thresholds whose crossings are primary events in the Ledger.
The Ledger enables Continuity by preserving decision context across time and personnel changes.
When deliberation is compressed, the Ledger captures whether genuine judgment occurred.