NIST AI Risk Management
Framework Services
The fastest defensible answer to “how do you govern AI?” – without a certification audit. We implement the NIST AI RMF for Central Florida businesses in weeks, not quarters, and give you the documentation to prove it.
What Is the NIST AI Risk Management Framework?
Published by the National Institute of Standards and Technology in January 2023, the AI RMF is a voluntary, free framework for identifying and managing the risks of AI systems. It has become the default reference point for AI governance in the United States.
Here is the practical value: when a customer, insurer, or auditor asks how you govern AI, “we operate an AI risk management program aligned to the NIST AI RMF” is a real answer backed by real artifacts. “We are careful about it” is not.
The framework is deliberately non-prescriptive. It does not tell you which tools to buy or which risks are acceptable – it gives you a structure for deciding, and a vocabulary your customers and regulators already recognize. That flexibility is why it works for a 12-person law firm and a 1,200-person manufacturer alike, and it is why implementations vary so much in quality. A framework you can interpret is a framework you can implement badly.
Govern
The culture and accountability layer, and the one that cuts across all the others. Who decides an AI system is acceptable to deploy? Who is responsible when it is wrong? What is the policy, who trained staff on it, and how is it enforced? Most SMB programs skip straight to tooling and fail here.
Map
Establish context. What AI systems exist in your environment, what business purpose does each serve, whose data does it touch, and who is affected by its outputs? You cannot manage risk in systems you have not inventoried – and almost nobody’s first inventory is complete.
Measure
Analyze and track. How accurate is the system, how does it fail, is it biased against anyone, and how would you know? For SMBs this rarely means statistical model testing – it means defined review checkpoints, error logging, and a human who actually looks.
Manage
Act on what you found. Prioritized treatment of the risks that matter, documented decisions to accept the ones that do not, incident response for when an AI system misbehaves, and a scheduled review so the whole thing does not go stale in six months.
Generative AI Profile
NIST published a dedicated generative AI profile (NIST AI 600-1) in 2024 addressing the risks specific to chatbots and content generation – confabulation, data leakage, harmful output, and provenance. This is the part that applies to nearly every business, because this is the AI your staff are actually using.
Maps to ISO 42001
The four functions align closely with the clauses of ISO/IEC 42001. Work you do here is not thrown away if a customer later demands a certificate – it becomes the foundation of the ISO 42001 certification build.
NIST AI RMF or ISO 42001 – Which One Do You Need?
The honest answer for most Central Florida SMBs is: start with NIST, and only pursue ISO 42001 when a customer contract requires it.
| NIST AI RMF | ISO/IEC 42001 | |
|---|---|---|
| Type | Voluntary framework, self-attested | Certifiable standard, third-party audited |
| Cost of the standard | Free to download | Purchased from ISO |
| External audit fee | None | $9,000 – $50,000+ |
| Typical time to implement | 6 – 10 weeks | 4 – 14 months |
| What you can claim | “Aligned to NIST AI RMF” | A certificate number |
| Best fit | SMBs, first-time programs, insurance and questionnaire responses | Selling into enterprise, healthcare, government, or regulated buyers |
| Ongoing obligation | Internal review cadence you set | Annual surveillance audit, recertify at 3 years |
They are not competing choices so much as sequential ones. We build NIST AI RMF programs in a structure that converts cleanly to ISO 42001 later, so the first engagement is never wasted spend.
Do You Even Know What AI Is in Your Business?
Most owners are surprised by the answer. The free AI readiness assessment finds it, scores your governance gaps, and tells you what to fix first.
How Do We Implement the NIST AI RMF?
Five phases, typically six to ten weeks for a small or mid-sized business. You end with artifacts you can hand to a customer, not a slide deck.
AI Discovery & Inventory (Map)
We find what is actually running. Sanctioned tools, AI features quietly enabled inside software you already license, browser extensions, and the consumer accounts staff signed up for on their own. Each entry records purpose, data touched, owner, and vendor terms.
Risk & Impact Assessment (Map + Measure)
For each system we assess what goes wrong if it fails, is wrong, or leaks – and who it lands on. Systems touching PHI, cardholder data, client confidences, or hiring decisions get escalated scrutiny, because those pull other compliance frameworks into scope.
Governance Layer (Govern)
We write your AI acceptable use policy, approval workflow for new tools, roles and accountabilities, and incident procedure – then train your staff on them. Short, readable documents people follow, not a forty-page policy nobody opens twice.
Technical Guardrails (Manage)
Policy without enforcement is a wish. We stand up the approved, governed AI path – business-tier tenants with data-retention controls, conditional access, logging, and DLP – usually inside the Microsoft 365 environment you already pay for, so shadow AI stops being the path of least resistance.
Evidence Package & Review Cadence
You receive an organized artifact set: inventory, risk register, impact assessments, policies, training records, and control evidence – the exact material a security questionnaire or insurance renewal asks for. Then we set the review cadence and run it with you.
Why Choose iTech Plus for AI Risk Management?
We are a managed IT provider first. The governance program has to survive contact with the network we run every day.
We Can Actually Find Shadow AI
Discovery is not a questionnaire. Because we manage identity, endpoints, and your Microsoft 365 tenant, we can see which AI services are being reached and by whom – not just what people admit to.
Built to Convert to ISO 42001
We structure the artifacts to map onto ISO 42001 clauses from day one. When a customer eventually demands certification, you are shortening a project, not starting one.
Stacked on Your Existing Obligations
Already carrying FTC Safeguards or HIPAA duties? Much of the evidence base overlaps. We implement each control once and point it at every framework that needs it.
Local and Flat-Rate
Based in Davenport, covering Orlando, Lakeland, Kissimmee, Winter Haven, and the I-4 corridor. Flat-rate pricing, no hourly meter running while your team asks questions.
NIST AI RMF – Common Questions
No. It is explicitly voluntary and there is no NIST AI RMF certification. What is increasingly non-optional is being able to answer AI governance questions from customers, insurers, and prime contractors – and the AI RMF is the vocabulary those questions are written in. Federal contractors and their subcontractors see it referenced most often.
You can, and it will hold up exactly until someone asks for evidence. Since the framework is self-attested, the artifacts are the whole point: an AI inventory, risk register, documented impact assessments, a policy with training records, and a review cadence with dates on it. If a claim of alignment is ever tested – in a security review, an insurance claim, or litigation – those documents are what is examined. Claiming alignment without them is a liability, not an asset.
The framework itself is free to download from NIST. The cost is the implementation work. For a small business with a handful of AI tools and reasonable IT hygiene, a complete program typically runs in the low five figures and takes six to ten weeks. Larger organizations, or ones where discovery surfaces significant sprawl, run higher. We quote a fixed fee after the discovery phase so the number is known before you commit – and if discovery shows you need guardrails rather than a full program, we will say so.
NIST AI 600-1 is a companion publication addressing risks specific to generative AI – confabulated output presented confidently, sensitive data leaking through prompts, harmful content, and unclear provenance of generated material. If anyone at your company uses a chatbot, an AI note-taker, or an AI writing assistant, it applies to you. For most SMBs it is the more relevant document of the two.
Scaled correctly, no. A ten-person firm does not need a formal AI risk committee – it needs to know which tools are in use, which ones may touch client data, one page of rules the staff have actually read, and a governed alternative so people are not pasting confidential material into free consumer accounts. That is a few weeks of work and it removes the exposure that actually bites small businesses. We do not sell enterprise governance theater to ten-person firms.
Yes. We run AI governance engagements as standalone projects and work alongside your existing IT provider or internal team. Discovery is more thorough when we already have visibility into your environment, but it is not a prerequisite – we will scope what access we need up front. Co-managed arrangements →
Govern AI Before
Someone Makes You
Start with the free AI readiness assessment. We inventory what is already running, score your governance gaps, and tell you whether you need a full program or just guardrails.
Serving Davenport, Orlando, Lakeland, Kissimmee, Winter Haven, Celebration, and Central Florida.