| name | 12-ai-cost-runbook |
| description | Use when producing or updating AI cost operations runbook for cost signals, budgets, attribution, anomaly response, containment, and current price evidence. Use slo-and-error-budget for the neighbouring concern; this skill owns the named document contract and its acceptance evidence. |
| metadata | {"portable":true,"compatible_with":["claude-code","codex"]} |
AI Cost Runbook Skill
Use When
- Produce or update AI cost operations runbook from approved project evidence.
- Resolve decisions about cost signals, budgets, attribution, anomaly response, containment, and current price evidence.
- Prepare a reviewable handoff for FinOps, AI operations, and product owners.
Do Not Use When
- The task is primarily owned by slo-and-error-budget; route there and use this skill only for its named output.
- Required project evidence or decision authority is unavailable and the requester expects a pass, release, certification, or production change.
Required Inputs
| Artefact | Source/provider | Required? | Behaviour when absent |
|---|
| Project _context/, approved requirements, and relevant architecture | Project owner and upstream phase skills | Required | Stop at a gap register; do not invent scope, thresholds, integrations, or owners. |
| Existing artefact, implementation, configuration, and evidence named below | Repository, delivery team, or service owner | Required when updating or assessing | Mark inaccessible items not assessed; do not treat them as passed. |
| Target audience, environment, risk tolerance, and authority | Requester and accountable owner | Required | Produce a read-only outline with explicit assumptions; do not mutate project or production state. |
Outputs
| Artefact | Consumer | Observable acceptance condition |
|---|
| AI Cost Operations Runbook | FinOps, AI operations, and product owners | Cost decisions use versioned usage evidence and current verified provider prices; anomalies have containment and reconciliation steps. |
| Decision and gap register | Reviewer and downstream phase owner | Every assumption, rejected option, unresolved dependency, waiver, and owner is explicit. |
| Validation evidence | Release or governance reviewer | Checks identify command or method, date, result, evidence location, and all unassessed items. |
Evidence Produced
| Evidence | Minimum content | Acceptance |
|---|
| Traceability record | Source artefact, decision, output section, owner | No mandatory decision is source-free. |
| Quality-gate result | Check, expected result, observed result, evidence path | Failures and unavailable checks cannot appear as passes. |
| Review record | Reviewer, date, disposition, open actions | The consumer can reproduce the acceptance decision. |
Capability and Permission Boundaries
- Minimum capabilities: read and search the authorised project sources. Execution is optional and limited to non-destructive validation.
- Inspection is read-only by default. Create or edit the named project document only when explicitly authorised. Production mutation, publishing, destructive action, spending, external communication, or certification claims require separate explicit authority.
- Treat secrets, tenant data, incident evidence, and financial records as least-privilege inputs; expose only the minimum evidence needed for review.
Degraded Mode
If files, execution, network, rendering, environment access, fonts, or current evidence are unavailable, return the narrowest useful draft plus a gap register. Label affected checks not assessed, retain the intended acceptance oracle, and state who must supply or verify the missing evidence. Never convert an unavailable check into a pass.
Decision Rules
| Choice | Action | Failure or risk avoided |
|---|
| Evidence is complete and authority is explicit | Choose containment from verified spend variance and customer impact and produce the full artefact. | Stale-price decisions or uncontrolled spend. |
| A required source or approval is missing | Stop the affected branch; record the gap, owner, and unblock condition. | Fabricated requirements or unauthorised action. |
| Evidence conflicts across sources | Preserve both claims, identify the controlling owner, and request a recorded decision. | Silent selection of a convenient but wrong source. |
| A check cannot run in the available environment | Keep its oracle and mark it not assessed; require later execution evidence. | False assurance from capability limits. |
Workflow
- Confirm the named deliverable, consumer, scope, environment, authority, and neighbouring-skill boundary.
- Inventory required sources and validate provenance, freshness, internal consistency, and missing inputs. Stop the affected branch on a mandatory gap.
- Extract traceable requirements, invariants, risks, and measurable acceptance criteria; record conflicts before choosing a design or procedure.
- Apply the decision rules and the domain workflow below. For a failed branch, preserve evidence, choose the documented recovery path, or escalate to the named owner.
- Draft the artefact, decision register, and evidence record together. Do not defer failure handling, rollback, security, tenancy, accessibility, or operational ownership.
- Run available checks, review every result, repair failures, and hand off only when acceptance is observable. If recovery fails or authority is exceeded, stop and escalate without mutation.
Quality Standards
- Ground every section in a named project source, decision, measured result, or accountable owner.
- Give each requirement or procedure a deterministic oracle that another reviewer can reproduce.
- Keep assumptions, exclusions, degraded checks, residual risks, and waivers visible at handoff.
- Preserve the domain invariants and more specific controls in the existing workflow below; this contract does not replace them.
- Run the repository anti-AI-slop gate: remove filler, verify named standards and dependencies, and retain purposeful domain detail.
Anti-Patterns
- Copying a generic template without mapping it to project sources. Fix: attach each section to an approved requirement, configuration, risk, or owner.
- Choosing a threshold because it is common practice. Fix: derive it from a requirement, measured baseline, risk decision, or current verified source.
- Reporting an inaccessible or unexecuted check as passed. Fix: mark it
not assessed, preserve the oracle, and name the verifier.
- Mixing the neighbouring slo-and-error-budget concern into this artefact without a boundary. Fix: cross-reference its output and keep ownership explicit.
- Omitting failure, rollback, empty-state, security, tenancy, or escalation behaviour. Fix: specify the trigger, safe action, verification, and owner for each applicable case.
- Mutating a repository, environment, tenant, ledger, or external system while drafting guidance. Fix: remain read-only until the exact mutation and authority are explicit.
- Claiming compliance, certification, readiness, or release from prose alone. Fix: require source-attributed evidence and a named acceptance decision.
Worked Example
Given an approved project source and a conflicting implementation detail, record both with provenance, stop the affected branch, and obtain the accountable owner's decision. Then update the relevant contract, define a reproducible acceptance check, and retain its observed result. The artefact is accepted only when cost decisions use versioned usage evidence and current verified provider prices; anomalies have containment and reconciliation steps.
References
- logic.prompt - load only when its template, logic, or detail is needed.
- README.md - load only when its template, logic, or detail is needed.
Core Instructions
Step 1: Cost-generating component inventory
For each AI feature list every cost-bearing component: model calls (provider $/M tokens), embedding calls, vector ops (per-query, per-storage), reranker, judge-LLM, content-filter, agent tool invocations (third-party APIs), egress.
Step 2: Per-call and per-tenant ceilings
Set per-(feature, tenant, day) and per-(feature, tenant, month) ceilings. Ceilings are tier-defaulted; admins can request higher.
Step 3: Spend anomaly detection
Per-tenant baseline computed over the last 14 d. Alert at 2x baseline within 1 h; 3x within 5 min for Enterprise tier.
Step 4: Throttle / pause / fallback rules
- 100% of ceiling: throttle (slow path, larger batch sizes, smaller model).
- 150% of ceiling: hard throttle (queue, with user-visible message).
- 200% of ceiling: pause feature for the tenant; CSM contact within 15 min.
- Cost > 130% of per-call ceiling: route to cheaper model (state which model).
- Anomaly above 5x baseline: pause and SEV1; possible abuse / misconfig.
Step 5: Model-fallback policy
Define the fallback ladder per feature: primary -> cheaper-but-comparable -> abstain.
Step 6: FinOps cadence
- Daily: cost dashboards reviewed by FinOps + AI lead.
- Weekly: per-feature, per-tier cost-per-call trend.
- Monthly: per-tenant top spenders + outliers; renewal-risk flags to CSM.
- Quarterly: cost-vs-pricing-tier reconciliation.
Step 7: Billing-event reconciliation
Every cost-bearing AI call emits a billing event (cross-link 02-requirements-engineering/13-saas-billing-and-metering-spec AI usage-metering events). The reconciliation job matches gateway logs against billing-event store nightly; missing events trigger a SEV3.
Step 8: Write the runbook
AI_Cost_Runbook.md sections: 1) Cost-Generating Components, 2) Per-Tenant & Per-Feature Ceilings, 3) Spend Anomaly Detection, 4) Throttle / Pause / Fallback Rules, 5) Model-Fallback Policy, 6) FinOps Cadence, 7) Billing-Event Reconciliation, 8) On-Call Procedure.
Standards
- FinOps Foundation framework
- Provider FinOps playbooks (OpenAI, Anthropic enterprise)
- ISO/IEC 42001 Clause 8 (operation)