APPLIED_PLAYBOOK: AGENTIC GOVERNANCE

Lifecycle Governance Checklist for Kimi-Based Agent Workflows

An independent lifecycle governance checklist for Kimi-based agent workflows, focused on evidence chains, authority boundaries, accepted outcomes, rollback, remediation, and substitution.

BACK_TO: PLAYBOOKS CONCEPT_CORE: AGENTIC LIFECYCLE GOVERNANCE R3F_LAYER: EXTENDED ECOSYSTEM R3G_LAYER: DETERMINISTIC DELIVERY R3H_LAYER: REGULATORY GOVERNANCE
DEFINITION

Lifecycle governance for Kimi-based agent workflows means applying lifecycle responsibility questions to workflows built with Moonshot AI / Kimi tooling without treating model use or workflow execution as complete governance.

Why ordinary model/tool governance is insufficient

A workflow can be useful and still leave lifecycle responsibility undefined. Governance still needs authority boundaries, evidence partitioning, accepted outcome ownership, substitution records, dispute handling, and remediation closure.

White paper source context

This playbook is a practical reading of the GAIC white paper's lifecycle-responsibility argument. For this route, the relevant responsibility objects are Intent object, Authority boundary, Evidence chain, Accepted outcome, Substitution record, Remediation closure. RCCS-M and ALCS are used as source vocabulary for governance coverage and lifecycle coherence; this page does not add scores or become legal advice, certification, procurement guidance, or a vendor assessment.

GAIC white paper MRO overview RCCS-M source anchor ALCS source anchor

Lifecycle governance checklist

  1. State workflow intent and active constraints before execution.
  2. Define allowed tool authority and the human role responsible for consequential action.
  3. Capture an evidence chain for review, replay, dispute, and remediation.
  4. Define accepted outcome ownership and acceptance criteria.
  5. Record rollback and remediation paths for generated or tool-mediated work.
  6. Track model, tool, prompt, runtime, or harness substitution.

Related Missing Regulatory Objects

Intent objectAuthority boundaryEvidence chainAccepted outcomeSubstitution recordRemediation closure

RCCS-M / ALCS relevance

RCCS-M asks whether the governance object layer is present. ALCS asks whether lifecycle responsibility remains coherent when work crosses intent, authority, evidence, acceptance, dispute, remediation, and closure.

Protocol path: MPLP as one option

MPLP is one protocol path for lifecycle responsibility semantics. It is not presented as required, exclusive, certified, regulator-approved, or already an industry standard.

Vendor boundary

This page does not evaluate Moonshot AI / Kimi products or claim affiliation with Moonshot AI or Kimi. It uses generic lifecycle governance language for Kimi-based workflows.

No current Moonshot AI or Kimi feature claims are cited or relied on in this page; vendor-specific details are intentionally avoided.

Boundary statement

This page is an independent lifecycle governance checklist. It is not official vendor documentation, endorsement, certification, legal advice, or procurement recommendation.