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Scenario Pack Guide
Defines roles, source-owned module handoffs, entry and exit criteria, the review sequence, failure paths, and reopening rules.
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# AI Release and Change Review Scenario Pack Toolkit schema: `PAISEH-TK-1.0` Scenario pack: `PAISEH-SC-ARCR-1.0` Use this pack when a proposed change to code, prompts, model configuration, context sources or indexes, harness behavior, tool permissions, policy, routing, runtime configuration, or operating controls needs one reviewable impact and release decision. This pack assembles evidence around the canonical Decision Packet Manifest, Evaluation Plan, AI Threat Model, AI Release Manifest, AI Operations Runbook, and Principal Design Review Checklist. It does not redefine evaluation, governance, deployment, or operating methods. ## When to Use This Pack Use it before a material AI-system change enters an environment or exposure stage. Also use it when a supposedly minor change may invalidate evidence, alter compatibility, change effective behavior, or weaken recovery. ## Roles and Authority | Role | Responsibility | Authority retained | | --- | --- | --- | | Change owner | Defines the proposed change, rationale, scope, and dependencies | Owns proposal accuracy, not approval | | Component owners | Assess prompt, context, model, harness, tool, policy, runtime, and operations impact | Validate owned contracts and evidence | | Evidence owner | Binds evaluation and assurance evidence to the exact candidate | Declares validity and limitations | | Release owner | Completes the canonical AI Release Manifest | Owns topology, exposure, compatibility, and recovery plan | | Review lead | Runs the Principal Design Review and records findings | Recommends disposition unless separately authorized | | Decision authority | Approves, narrows, holds, reverses, or rejects the named stage | Cannot delegate accountability to a checklist | | Operations owner | Verifies readiness, effective state, health, and recovery | Owns production handoff and receipts | ## Minimum Viable Pack Complete: 1. Common Artifact Header. 2. Change Impact Record. 3. Decision Packet Manifest. 4. The affected canonical module records. 5. Release Evidence Validity Checklist. 6. AI Release Manifest. 7. Release Review Decision Record. Use compact references for unaffected modules, but record why they remain valid. Increased autonomy, sensitive data, external action, durable state, trust-boundary crossing, migration, irreversibility, or higher consequence requires the corresponding risk, threat, permission, recovery, and operating records. ## Entry Criteria - The composite candidate and every changed component have immutable identities. - The baseline, target environment, eligible population, exposure stage, and decision are named. - The change owner has completed an impact analysis across upstream assumptions and downstream consumers. - Evidence owners have stated which results remain valid and which must be rerun. - Compatibility, mixed-version behavior, migration, rollback, in-flight work, and observability are reviewable. - Release, review, decision, and operations authorities are named. ## Working Sequence 1. Classify the change and dependencies in the Change Impact Record. 2. Assemble exact records and evidence in the Decision Packet Manifest. 3. Inspect candidate binding, validity, compatibility, recovery, and open findings with the checklist. 4. Complete the canonical AI Release Manifest for the named transition. 5. Record the authorized disposition in the Release Review Decision Record. 6. Preserve deployment and effective-state receipts after any transition. ## Exit and Acceptance Criteria - No changed component or effective configuration is represented by a floating label. - Each evidence item names its candidate, population, environment, validity, and limitation. - Unchanged claims have an explicit compatibility argument, not an assumption. - Open findings, exceptions, dissent, conditions, and expiry remain visible. - The release manifest defines staged exposure, hold, reverse, and verified recovery. - The decision record names exactly what may change, where, for whom, under which conditions. - Effective-state receipts confirm what actually happened; approval alone does not prove deployment. ## Failure Paths - Use `runbooks/expired-or-misaligned-release-evidence.md` when evidence is stale, belongs to another candidate or population, or no longer covers the accepted claim. - Use `runbooks/effective-state-drift-or-failed-transition.md` when requested and actual versions, routes, configuration, exposure, or recovery state diverge. ## Material Change and Reopening Triggers Reopen when any component identity, dependency, population, environment, topology, route, policy, permission, context source or index, prompt, model setting, harness transition, migration, evidence result, health threshold, recovery path, exposure ceiling, exception, or accepted risk changes. Reopen when effective state diverges from the manifest or delayed outcomes contradict the decision.