AI Governance Consulting Services
Turn AI adoption into a controlled, auditable, board-ready program. Petronella Technology Group helps regulated businesses build AI governance that satisfies the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act.
Last Updated: June 25, 2026
Key Takeaways
- AI governance consulting is advisory work that establishes the policies, controls, and oversight structures a business needs to deploy artificial intelligence safely, legally, and accountably.
- The three reference frameworks most North American businesses are measured against are the NIST AI Risk Management Framework (AI RMF 1.0), ISO/IEC 42001:2023, and the EU AI Act.
- Petronella Technology Group pairs hands-on AI deployment experience with deep compliance credentials (CMMC, HIPAA, SOC 2, NIST), so governance is built by the same team that secures and operates the systems.
- Good governance is not a one-time document. It is an operating discipline: inventory, risk-tier, control, monitor, and review every model in production.
- Engagements are scoped to clear deliverables with no long-term contract required. Call 919-348-4912 or request a free assessment.
What Is AI Governance Consulting?
AI governance consulting is advisory work that helps an organization decide how artificial intelligence may be used, who is accountable for it, and what controls keep it safe and compliant. Where AI development builds the model and AI security defends it, AI governance defines the rules of the road: which use cases are permitted, what data may train or feed a system, how decisions are documented, and how risk is measured before and after deployment.
The need is no longer theoretical. Employees are pasting sensitive data into public chatbots, departments are buying AI features inside SaaS tools without review, and regulators are writing AI-specific law. A business that cannot answer "which AI systems do we run, what do they touch, and who approved them?" is carrying unmeasured risk. Governance turns that uncertainty into an inventory, a risk register, and a set of controls leadership can defend to a board, an auditor, or a customer.
Petronella Technology Group approaches governance the way it approaches compliance: as an operating program, not a binder. Our consultants map your AI footprint, tier each system by risk, write enforceable policy, and stand up the monitoring that keeps the program honest after the consultants leave. Because we also build and host AI systems through our AI services practice, the controls we recommend are ones we know how to implement, not abstract checkboxes.
This page explains the frameworks that matter, what a governance engagement includes, the process we follow, and who benefits most. If you already know you need help, the fastest path is a free assessment by phone at 919-348-4912.
The Frameworks Your AI Program Will Be Measured Against
NIST AI RMF 1.0
The U.S. National Institute of Standards and Technology released the AI Risk Management Framework in January 2023. It organizes practice around four functions — Govern, Map, Measure, and Manage — and is the de facto baseline for American organizations. NIST's Generative AI Profile (NIST-AI-600-1, July 2024) extends it to large language models. We build programs that align to these functions directly.
ISO/IEC 42001:2023
Published in December 2023, this is the first international management-system standard for artificial intelligence. It works like ISO 27001 does for information security: a certifiable AI management system (AIMS) with documented objectives, risk treatment, and continual improvement. We prepare organizations that want a certifiable, audit-ready structure.
EU AI Act
The European Union's AI Act entered into force on August 1, 2024, with a risk-tiered model. Prohibited-practice rules applied from February 2025, general-purpose AI obligations from August 2025, and most high-risk system requirements phase in through 2026 and 2027. Any business serving EU users or partners needs a position on it.
Sector & State Rules
AI governance does not replace your existing obligations — it sits on top of them. Healthcare AI still answers to HIPAA, defense AI to CMMC and NIST 800-171, and a growing list of state laws (such as Colorado's AI Act) add their own duties. We connect AI controls to the regimes you already report against through our NIST compliance and compliance practices.
Not sure which framework applies to you?
A 30-minute assessment maps your AI use cases to the frameworks that actually govern your business so you spend effort only where it counts.
Schedule Free Assessment Call 919-348-4912What an AI Governance Engagement Includes
Every program is scoped to the organization, but most Petronella AI governance engagements cover the same core deliverables. These are the building blocks that turn ad-hoc AI use into a defensible program.
AI System Inventory and Discovery
You cannot govern what you cannot see. We catalog every AI system in use — sanctioned and shadow — including embedded AI features inside SaaS platforms, internal models, and public tools employees rely on. Each entry records purpose, data inputs, owner, and exposure. Discovery routinely surfaces twice as many AI touchpoints as leadership expected.
Risk Tiering and Impact Assessment
Not every model deserves the same scrutiny. We classify each system by potential impact — a marketing copy assistant is not a credit-decisioning model. High-impact and regulated use cases receive a formal AI impact assessment that documents data lineage, failure modes, bias considerations, and human-oversight requirements.
Policy, Acceptable Use, and Approval Workflow
We draft enforceable AI policy: what data may enter which tools, when human review is mandatory, how new AI use cases get approved, and what is simply off-limits. The goal is a policy people can actually follow, backed by an intake process so the next AI project starts inside the guardrails instead of around them.
Controls, Documentation, and Evidence
Governance has to produce evidence. Our ComplianceArmor platform automates much of the documentation burden — policies, system records, and evidence collection — the same engine we use for CMMC, HIPAA, and SOC 2 programs. That means your AI governance artifacts live next to the rest of your compliance evidence, not in a separate silo.
Monitoring, Review Cadence, and Training
A model that was low-risk at launch can drift. We establish a review cadence, define the metrics worth watching, and train staff and leadership so governance survives turnover. Where ongoing oversight makes sense, our AI readiness assessment and managed practices keep the program running after the engagement closes.
Managed AI Governance vs. Going It Alone
Many businesses try to assemble governance from blog posts and a downloaded policy template. Here is how that compares to a structured engagement with a partner who builds and secures AI for a living.
| Dimension | DIY / Ad-Hoc Approach | Petronella AI Governance Consulting |
|---|---|---|
| AI inventory | Informal, often missing shadow AI and embedded SaaS features | Systematic discovery of sanctioned and shadow AI across the organization |
| Framework alignment | Generic template, unclear which rules apply | Mapped to NIST AI RMF, ISO 42001, EU AI Act, and your sector regime |
| Compliance integration | Separate from HIPAA / CMMC / SOC 2 evidence | Unified with existing controls via ComplianceArmor |
| Implementation know-how | Recommendations no one can operationalize | Controls designed by a team that deploys and hosts AI |
| Ongoing oversight | Stalls after the policy is written | Defined review cadence, monitoring, and staff training |
| Accountability | Diffuse ownership, vendor finger-pointing | Single point of accountability — one team, one invoice |
Why Petronella for AI Governance
AI governance sits at the intersection of three disciplines — artificial intelligence, cybersecurity, and regulatory compliance. Few firms hold real depth in all three. Petronella Technology Group has spent 24+ years in cybersecurity and compliance and has run a dedicated AI division since 2023.
That division is not a slide deck. We deploy private AI that keeps data on your network, build custom models, and run production AI agents — Penny, Eve, ComplyBot, and Joe — that handle real client workflows today. When our consultants recommend a control, they understand the system it applies to. You can see how we deploy AI privately on our private AI solutions page, and how we handle regulated data on our HIPAA-compliant AI page.
Governance work is led with the expertise of founder Craig Petronella, MIT-certified in cybersecurity, AI, and compliance, a CMMC Registered Practitioner, NC Licensed Digital Forensics Examiner (#604180), and author of Beautifully Inefficient, a book on AI, human creativity, and innovation. Petronella is a CyberAB Registered Provider Organization (RPO #1449) and has held a BBB A+ rating since 2003. The same advisory discipline powers our cybersecurity consulting services.
Our AI Governance Process
Discover and Inventory
We map every AI system in use, the data each touches, and who owns it — including shadow AI and embedded SaaS features. The result is a single source of truth for your AI footprint.
Assess and Risk-Tier
Each system is classified by impact and mapped to the frameworks that govern it. High-risk and regulated use cases receive a formal impact assessment covering data lineage, bias, and oversight.
Design Policy and Controls
We draft acceptable-use policy, an approval workflow, and the technical and procedural controls that match your risk tiers — documented in ComplianceArmor alongside your existing compliance evidence.
Implement and Train
Controls move from paper into practice. We help configure technical guardrails, brief leadership, and train staff so the policy is understood and followed, not ignored.
Monitor and Review
We set a review cadence and the metrics worth watching so the program adapts as models, vendors, and regulations change. Governance becomes a standing discipline, not a finished project.
Build an AI program your board can stand behind
From a single risk assessment to a full ISO 42001-aligned management system, we scope to what you need — with no long-term contract required.
Get Started Today Call 919-348-4912The AI Governance Risks We See Most Often
When we run a discovery engagement, the same exposures surface again and again. Naming them is the first step to controlling them.
Shadow AI
Employees adopt public chatbots and AI browser extensions faster than IT can track. Without an inventory, sensitive data flows into tools the business never vetted and cannot audit. Discovery brings shadow AI into the light so it can be permitted, restricted, or replaced with a sanctioned option.
Data Leakage and Confidentiality
Prompts and uploads to consumer AI services may be retained, used for training, or exposed. For a law firm, medical practice, or defense contractor, a single pasted document can become a confidentiality or regulatory breach. Governance defines what data may never leave your control — and our private AI deployment gives staff a safe alternative.
Unmanaged Bias and Accuracy
Models that influence hiring, lending, pricing, or clinical decisions can produce biased or simply wrong outputs. Without documented impact assessments and human-oversight requirements, those errors carry legal and reputational risk. We require formal review for any high-impact use case.
Regulatory and Contractual Exposure
AI-specific law is arriving while existing rules already apply. A business that cannot show how it controls AI may fail an audit, breach a customer contract, or run afoul of the EU AI Act. Governance produces the evidence that answers these questions before someone else asks them.
No Clear Owner
When everyone and no one owns AI, risk accumulates in the gaps. We assign accountability — an owner for each system and a defined approval path — so decisions are made deliberately rather than by default.
Vendor and Model Sprawl
AI features embedded in dozens of SaaS tools multiply your exposure surface. Governance consolidates the view across vendors so you can reason about total risk, not one tool at a time.
AI Governance and Your Existing Compliance Program
One of the most common mistakes businesses make is treating AI governance as a brand-new, standalone effort. It is not. If you already run a HIPAA, CMMC, SOC 2, or NIST program, you have most of the machinery you need — risk assessment, policy management, access control, evidence collection, and a review cadence. AI governance extends that machinery to a new class of system rather than rebuilding it from scratch.
This is where Petronella's compliance heritage pays off. We have spent more than a decade implementing the frameworks that AI governance has to coexist with. Healthcare clients adopting AI still owe duties under HIPAA, and our HIPAA-compliant AI work shows how AI fits inside those obligations. Defense contractors introducing AI into a controlled environment still answer to NIST 800-171 and CMMC, where Craig Petronella holds the Registered Practitioner credential. Rather than producing a separate AI binder that no one maintains, we fold AI controls into the compliance program you already report against.
The practical engine for that integration is ComplianceArmor, our proprietary compliance documentation platform. It manages policies, system records, and evidence for CMMC, HIPAA, SOC 2, PCI DSS, and CCPA — and the same structure holds AI system inventories, impact assessments, and acceptable-use policies. When an auditor, a customer's security team, or your own board asks how AI is governed, the answer lives next to the rest of your compliance evidence instead of in a forgotten spreadsheet.
The payoff is leadership confidence. A governed AI program lets you say yes to AI adoption deliberately: you know what is running, you know the risk tier, you know who approved it, and you can prove it. That is the difference between AI as an uncontrolled liability and AI as a measured, defensible advantage — the same outcome our compliance consulting practice delivers across every framework we serve.
Who Needs AI Governance Consulting
AI governance matters most where the data is sensitive, the decisions carry weight, or a regulator is watching. We work with organizations across the Research Triangle — Raleigh, Durham, Cary, Chapel Hill, and Apex — and nationwide.
- Healthcare and life sciences using AI on patient or research data under HIPAA
- Defense contractors introducing AI into CMMC and NIST 800-171 environments
- Financial and professional services using AI in client-facing or decisioning workflows
- Law firms adopting AI while protecting client confidentiality
- Any company serving EU customers that must take a position on the EU AI Act
- Leadership teams that simply need to know what AI is running and who approved it
If your team is adopting AI faster than your policies can keep up — the common case in 2026 — a governance engagement closes the gap before it becomes an incident or an audit finding. Pair it with a starting AI readiness assessment to benchmark where you stand.
Frequently Asked Questions
What is AI governance consulting?
AI governance consulting is advisory work that establishes the policies, risk controls, and oversight structures an organization needs to use artificial intelligence safely and in line with regulations. It covers inventorying AI systems, tiering them by risk, writing acceptable-use policy, documenting controls, and setting up ongoing monitoring. Petronella Technology Group delivers this as a scoped program aligned to the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act.
How is AI governance different from AI security or AI development?
AI development builds the model, AI security defends it from attack and data leakage, and AI governance defines the rules: which use cases are allowed, what data may be used, who is accountable, and how risk is measured. The three work together. Petronella offers all three so the policies, the defenses, and the systems are designed by one accountable team rather than stitched together from separate vendors.
Which AI governance framework should my business follow?
It depends on where you operate and what data you handle. Most U.S. organizations use the NIST AI Risk Management Framework as a baseline. Businesses that want a certifiable management system pursue ISO/IEC 42001. Any organization serving EU users must account for the EU AI Act. Sector rules such as HIPAA or CMMC still apply on top. Our assessment maps your use cases to the frameworks that actually govern you so you do not over-invest in ones that do not.
Do small and mid-sized businesses really need AI governance?
Yes. Risk scales with the sensitivity of your data and decisions, not with headcount. A small medical practice or defense subcontractor using AI on regulated data carries real exposure. The difference for an SMB is scope: governance can start with an inventory and a one-page acceptable-use policy and grow from there. Engagements are scoped to clear deliverables with no long-term contract required.
How long does an AI governance engagement take?
A focused assessment and initial policy set can be completed in a few weeks; a full ISO 42001-aligned management system takes longer and depends on the number of AI systems and the regulatory regimes involved. We scope each engagement after a free initial assessment so you get a clear timeline and deliverables before committing. Call 919-348-4912 to discuss your timeline.
Can you connect AI governance to our existing HIPAA or CMMC compliance?
That is one of our core strengths. AI governance sits on top of your existing obligations rather than replacing them. Using our ComplianceArmor platform, we document AI controls alongside your HIPAA, CMMC, SOC 2, and NIST evidence so everything lives in one place and an auditor sees a unified program. Craig Petronella is a CMMC Registered Practitioner and the team is CMMC-RP certified.
Do you only serve the Raleigh and Triangle area?
No. Petronella Technology Group is headquartered in Raleigh, North Carolina and serves the Research Triangle, but our AI governance, cybersecurity, and compliance work is delivered nationwide. Remote discovery, assessment, and program design let us support organizations wherever they operate.
How to Get Started
Most engagements begin with a free, no-obligation assessment. In a single conversation we learn how your organization is using AI today, what data is involved, and which regulations apply. From there we recommend a right-sized starting point — sometimes a focused inventory and acceptable-use policy, sometimes a full management system aligned to ISO/IEC 42001. You receive a clear scope, timeline, and set of deliverables before any work begins, and engagements carry no long-term contract requirement.
Whether you are a Raleigh-area medical practice worried about staff pasting records into chatbots, a defense contractor folding AI into a controlled environment, or a leadership team that simply wants an honest answer to "what AI are we running and who approved it," Petronella Technology Group can help you build a program that holds up. Call 919-348-4912 or request your free assessment to begin.
Ready to govern AI with confidence?
Contact Petronella Technology Group for a free consultation on AI governance consulting. We will map your AI footprint, identify the frameworks that apply, and recommend a right-sized program.
Schedule Free Consultation Call 919-348-4912