System of record for AI labor
A system of record for AI labor is the authoritative ledger an organization closes its books against for work performed by AI agents — capturing what each agent did, what it consumed, what it cost, and how that cost reconciles to invoices, payments, and the general ledger.
Auditors and controllers require completeness, durable identity, reconciliation paths, and evidence that can be produced on demand. Dashboards that reset with a filter change do not qualify.
Cloud FinOps gave infrastructure spend its system of record. Agent spend needs the same standard of proof, with agent identity and task context on every row.
Meridian is one implementation of that ledger. The category requirement exists whether or not any single product is in use.
Related terms
- Agent spend attribution
- Agent FinOps vs. TokenOps
- Settlement vs. billing vs. attribution
- Agent FinOps
- AI labor
- Spend under management
- Attribution readiness
- Cost per outcome
- AI spend assessment
- Unattributed spend
- Agent inventory
- Chargeback in an AI context
- Zero-Access assessment
- FOCUS
- BilledCost
- EffectiveCost
- ChargeCategory
- ChargePeriod
- ServiceCategory
- Provider, Publisher, ServiceProvider, and HostProvider
- Contract Commitment dataset
- Invoice Detail dataset
- Virtual currency and token columns
- Journal entry
- Suspense account
- Accrual
- Chargeback vs. showback
- Subledger
- Tie-out and reconciliation
- Trial balance
- Dimensions and worktags
- OASA specification
- The Missing Ledger