Define AI Governance Specification
Generate a structured governance specification for multi-agent AI systems aligning with NIST AI RMF and EU AI Act requirements.
Introduction
This workflow helps organizations create a governance-first specification for multi-agent AI systems. It encodes policies aligned with the NIST AI Risk Management Framework and the EU AI Act to ensure deterministic, auditable, and transparent agent behavior.
What It Does
The workflow produces a comprehensive governance specification that includes:
- Autonomy tiers and agent role definitions
- Deterministic routing and merge policies for multi-agent workflows
- Risk management, oversight, and escalation rules
- Compliance mappings to NIST AI RMF and EU AI Act
It also outlines a layered architecture separating execution, policy, observability, and organizational governance to support modular governance management.
Requirements
To use this workflow, you should have:
- Access to the Needle platform
- Basic understanding of multi-agent orchestration and agent lifecycle
- Familiarity with NIST AI RMF core functions
- Awareness of EU AI Act governance obligations for high-risk AI
How the Workflow Works
| Node | Description |
|---|---|
| Manual Trigger | Initiates generation or regeneration of the governance specification. Used when defining new systems, updating policies, or preparing for audits. |
| Governance Spec Code | Produces a detailed governance specification JSON including identifiers, references, layered architecture, routing policies, autonomy tiers, compliance mappings, and change management policies. |
The primary output is a specification artifact for integration with runtime governance, policy engines, or logging systems.
Output
The workflow outputs a structured JSON governance specification containing:
- Metadata: name, description, owners, version, timestamps, and jurisdictions
- Agent and autonomy model: agent types, autonomy tiers, delegation boundaries, permissions
- Routing and merge policies: deterministic routing and output aggregation rules
- Risk and oversight policies: human-in-the-loop criteria, escalation, incident handling
- Observability: logging requirements, audit path reconstruction
- Compliance mappings: alignment with NIST AI RMF and EU AI Act obligations
- Promotion and change policies: lifecycle from draft to approved with review gates
This serves as a formal reference document or configuration input for governance enforcement and audit support.
Notes
- This workflow defines governance specifications but does not enforce policies or compliance directly.
- Explicit compliance mappings aid in demonstrating adherence to regulatory obligations.
- The layered architecture allows independent updates to policies, observability, and organizational governance without redesigning execution.
- The specification can be iterated as agents, tools, or regulations evolve to maintain documented AI governance posture.
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