governance-team-ai-human-workflow

Define and enforce AI agent autonomy policies for Providers.2.1.0.

Updated Jan 6, 2026

Search Tags:#onboarding #governance #risk-management #policy #providers #ai-autonomy

Ready to run

npx skills add https://github.com/cslsoftwares/ParamentersORM --skill governance-team-ai-human-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: governance-team-ai-human-workflow
Source: https://github.com/cslsoftwares/ParamentersORM/tree/main/.cursor/skills/governance-team-ai-human-workflow_V1.0.0
Command: npx skills add https://github.com/cslsoftwares/ParamentersORM --skill governance-team-ai-human-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Governance Team AI-Human Workflow defines and enforces a clear autonomy policy for AI agents within Providers.2.1.0, ensuring actions are executed with appropriate levels of autonomy and human oversight where required.

Core Features & Use Cases

Classifies agent actions into Automatic, Confirmation, and Humans-only and documents escalation rules.
Generates and maintains Documentation/AI-Human-Policy.md with examples for Providers.2.1.0 and escalation criteria.
Supports onboarding and governance reviews by tech leads and developers to reduce risk of unauthorized autonomous behavior.

Quick Start

Configure a new agent with the policy, review the AI-Human-Policy.md, and train agents using the provided examples in the project.

Frequently Asked Questions about governance-team-ai-human-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I define an AI autonomy policy for automated agents?▼

To define an AI autonomy policy, you classify agent actions into automatic, confirmation, and humans-only categories, then document escalation rules to ensure safe automation and appropriate human oversight.

What is a human-in-the-loop workflow for governing AI agents?▼

A human-in-the-loop workflow for AI governance classifies autonomous actions by risk, requiring human confirmation or manual execution for critical tasks while allowing safe automatic actions to proceed without intervention.

How do I configure new AI agents with proper human confirmation requirements?▼

You configure new AI agents by applying a formal autonomy policy that specifies which automatic actions require human confirmation, sets escalation criteria, and provides examples to guide agent behavior during onboarding.

How do I audit autonomous actions and review AI agent governance policies?▼

You audit autonomous actions by reviewing the generated AI-Human-Policy documentation, checking agent behavior against established escalation criteria, and ensuring all automatic, confirmation, and humans-only actions comply with governance rules.

Does this governance workflow support onboarding new agents in Providers?▼

Yes, this governance workflow supports onboarding new agents in Providers by applying a structured autonomy policy that defines action classifications, escalation rules, and examples to reduce the risk of unauthorized autonomous behavior.

What are the limitations of relying solely on AI autonomy policies for risk management?▼

AI autonomy policies reduce risk by enforcing human oversight, but limitations remain if escalation criteria are incomplete or if agents encounter scenarios not covered by the automatic, confirmation, and humans-only action classifications.