Operlity's AI Governance Advisory service gives your organization expert guidance to build a structured AI governance program — from AI system discovery and risk classification through governance program design and regulatory compliance — aligned to the EU AI Act, ISO 42001, and NIST AI RMF, and delivered by our Service Partner network.
AI governance is the newest and fastest-moving discipline in the GRC landscape. The EU AI Act is in force. ISO 42001 is gaining traction. NIST AI RMF is being adopted across industries. And organizations that develop or deploy AI systems are now subject to obligations that didn't exist two years ago — obligations that most GRC programs are not yet structured to meet.
The challenge is not awareness. Most organizations know AI governance matters. The challenge is knowing where to start, what to prioritize, and how to build a program that meets current regulations while remaining flexible enough to adapt as the regulatory landscape evolves.
Operlity's AI Governance Advisory service provides that starting point. Our Service Partners work with your team to discover and inventory your AI systems, classify them against regulatory risk tiers, design a governance program that meets your current obligations, and establish the ongoing compliance management practices that keep your program current as regulations mature.
A structured exercise to identify and document every AI system developed or deployed across your organization — covering purpose, deployment context, data inputs, decision scope, affected populations, and technical architecture — building the inventory that underpins every AI governance obligation.
Classification of each AI system against regulatory risk tiers — evaluating purpose, deployment context, and affected populations against EU AI Act criteria — with documented classification decisions and justifications for each system.
A comprehensive governance program architecture covering organizational structure, roles and accountability, policy framework, risk management methodology, and operational processes — giving your team a clear, actionable blueprint for governing AI across the organization.
A detailed compliance roadmap mapping your obligations under the EU AI Act — covering high-risk system requirements (risk management, data governance, technical documentation, transparency, human oversight), prohibited practices assessment, and general-purpose AI obligations where applicable.
Expert guidance on implementing an AI Management System aligned to ISO 42001 — covering management commitment, AI risk assessment, control implementation, and preparation for certification assessment.
Development of AI-specific governance policies — covering responsible AI use, AI development standards, AI risk management, model monitoring, and AI incident response — tailored to your organizational context and regulatory obligations.
| Step | Description |
|---|---|
| 1. AI System Discovery | Identify and document every AI system across your organization — building a comprehensive AI inventory that establishes the scope and foundation for your governance program. |
| 2. Risk Classification | Classify each AI system against regulatory risk tiers — determining which systems fall into prohibited, high-risk, limited risk, or minimal risk categories under the EU AI Act, and assessing risk under ISO 42001 and NIST AI RMF. |
| 3. Governance Program Design | Design your AI governance program — covering organizational structure, roles, policy framework, risk management methodology, and operational processes — tailored to your organization's AI landscape and regulatory obligations. |
| 4. Compliance Roadmap | Develop a prioritized compliance roadmap — sequencing the work needed to meet EU AI Act, ISO 42001, and NIST AI RMF requirements, with clear milestones, ownership, and timelines. |
| 5. Policy & Documentation Development | Develop the AI governance policies, risk assessment methodology, and technical documentation frameworks your program requires — each designed for practical use, not shelf-ware. |
| 6. Operational Readiness | Establish the operational processes your AI governance program needs to run continuously — model monitoring, incident response, post-market surveillance, and ongoing risk assessment — so your program functions as a living discipline, not a one-time exercise. |
For organizations using the Operlity platform, the advisory engagement builds your AI governance program directly within the platform.
Operlity's AI Governance Advisory service is delivered by our network of Service Partners — professionals with deep expertise in AI risk management, AI regulation, and AI governance program design.
Are you an AI governance consultant interested in joining our Service Partner network? Become a Service Partner →