Applied Agentic Governance Playbooks
Practical guides for making AI agent and multi-agent workflows more rollbackable, verifiable, auditable, and lifecycle-governed.
Applied governance for real agent-work questions.
These playbooks connect Agentic Lifecycle Governance, Missing Regulatory Objects, RCCS-M, ALCS, and MPLP to practical search intents: rollback, verification, auditability, coding agents, human role responsibility, vendor-based agent workflows, Harness Engineering, prompt-vs-harness boundaries, agentic delivery architecture, and insurability / risk-transfer discussion. The auditability and assurance white paper supplies the auditability layer while the insurability and risk transfer white paper supplies the public research edition insurability layer; neither turns these playbooks into published implementation or underwriting guides.
AI Agent Rollback and Verification
A lifecycle governance playbook for making AI agent rollback, verification, evidence chains, accepted outcomes, and remediation closure inspectable.
Open playbookAI Coding Agent Auditability
A lifecycle governance playbook for making AI coding agent work reviewable, reversible, test-evidenced, and accepted by accountable human roles.
Open playbookHuman Role to Multi-Agent Responsibility Mapping
A governance playbook for mapping human roles, delegated authority, accepted outcome ownership, dispute handling, and remediation in multi-agent systems.
Open playbookLifecycle Governance Checklist for OpenAI Agent Workflows
An independent lifecycle governance checklist for workflows built with OpenAI tooling, focused on intent, tool authority, evidence chains, accepted outcomes, rollback, remediation, and substitution.
Open playbookLifecycle Governance Checklist for Anthropic / Claude Agent Workflows
An independent lifecycle governance checklist for Anthropic / Claude agent workflows, focused on authority, evidence, accepted outcomes, rollback, remediation, and substitution.
Open playbookLifecycle Governance Checklist for DeepSeek-Based Agent Workflows
An independent lifecycle governance checklist for DeepSeek-based agent workflows, focused on lifecycle responsibility, evidence, accepted outcomes, rollback, remediation, and substitution.
Open playbookLifecycle 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.
Open playbookHarness Engineering for AI Agents
A definition-first playbook for Harness Engineering: wrapping AI agent execution with context boundaries, authority boundaries, evidence capture, plan/confirm/trace records, rollback, remediation, deterministic delivery, and accepted outcome.
Open playbookPrompt Engineering vs Harness Engineering
A lifecycle governance playbook explaining why prompt engineering controls intent expression while Harness Engineering controls execution boundaries, evidence, rollback, and accepted outcome.
Open playbookAgentic Delivery Architecture Checklist
A practical architecture checklist for accountable AI agent workflows: intent, context, authority, tools, evidence, accepted outcome, rollback, substitution, and human responsibility.
Open playbookThese pages are independent lifecycle governance playbooks. They are not official vendor documentation, legal advice, legal compliance proof, certification, regulator-approved guidance, vendor rankings, or procurement recommendations. They define lifecycle governance practice; they do not claim deterministic model outputs or guaranteed delivery.