Every AI decision has an owner, a payer, and an outcome.
The ledger answers who consumed what, who pays, who owns the outcome, which provider was used, and how actual cost varied from prediction.
Business unit showback allocation
Visibility without journal transfer
| Business Unit | Cost Center | Monthly Budget | Consumed | Remaining | Utilization | Trend | Top Workload Type |
|---|
Token Bank Accounts
Issued → reserved → consumed → returned
| Account | Business Unit | Persona | Issued | Consumed | Reserved | Returned | Balance | Overage Policy | Projected Depletion |
|---|
Value Realization
AI spend reconciled to measured business benefit
| Benefit Category | Measured Value | Annual Value | AI Spend | Payback | IRR | Confidence | Measurement |
|---|
Asset Lifecycle and Attestation
0 agents require action
| Agent | Owner | Business Unit | State | Last Attested | Next Due | Decay Score | Monthly Spend | Throttle | Action |
|---|
Lifecycle Audit Trail
Attestation, transfer, throttle, and deprecation evidence
| Timestamp | Agent ID | Event | Actor | Evidence |
|---|
Governance decision ledger
| Timestamp | Workload ID | Business Unit | Persona | Provider | Predicted | Actual | Variance | Decision | ROI | Audit |
|---|