Agent-State Governance: Making AI Collaboration Recoverable, Traceable, and Risk-Controlled

Designed for multi-round AI collaboration and complex project execution, this governance framework uses state records, task queues, stage gates, and human authorisation to prevent AI projects from becoming trapped in chat histories while also reducing the risk of uncontrolled automation.

Type:AI Collaboration Governance Framework

Use Case:Multi-Round Task Execution / Automated Actions / Risk Control

Execution and Validation Records

Dry-run control for AI-assisted execution — Formal write actions require apply to be enabled explicitly. By default, the workflow stops at a reviewable stage.

Automated field validation in the AI-assisted workflow — The target directory, manifest files, and synchronisation results are checked automatically.

State-Governance Mechanisms

01 Current State:Records the current stage of the project so that the background does not need to be explained again in every new session.

02 Pending-Action Queue:Places next steps, blockers, and items awaiting confirmation into a unified queue.

03 Execution Log:Records what each round of work did, what it produced, and whether it affected business data.

04 Stage Gates:Introduces continue, pause, or await human confirmation decisions at key points in the workflow.

05 Human Authorisation:Actions involving Feishu writes, calendar creation, or file modification are not executed automatically by default.

Agent Collaboration Flow

Read the Current State

Identify Pending Actions

Run a Dry Run

Obtain Human Confirmation

Execute the Confirmed Action

Record a Checkpoint

Read the Current State

↓

Identify Pending Actions

↓

Run a Dry Run

↓

Obtain Human Confirmation

↓

Execute the Confirmed Action

↓

Record a Checkpoint

Safety Boundaries

01 No External Writes by Default:For actions involving Feishu, calendars, file systems, or other external systems, the default mode is read-only or dry-run.

02 Do Not Overwrite Original Business Files:Automation generates candidate outputs only and does not overwrite original materials.

03 Do Not Commit Sensitive Information:Customer names, case names, file paths, tokens, real links, and other sensitive information must not appear on public pages or in commit records.

04 Do Not Treat AI Output as Fact:AI is responsible for candidate organisation, while people remain responsible for factual judgement, legal judgement, and final confirmation.