Moving AI from Policy to Practice.
Don't just adopt AI; secure it. We help organizations integrate the NIST AI RMF framework into their daily operations, ensuring your technology growth is safe, compliant, and accountable.
Establish context and identify where AI is actually in use.
Analyze, assess, and track the risks you have identified.
Prioritize, respond, and document the decisions you make.
Govern is continuous and informs the other three functions. We implement it as the layer everything else is measured against.
From policy to practice
A framework document on a shared drive changes nothing. These three stages are how the NIST AI RMF becomes behavior your organization can evidence.
Assess
We find where AI is already in your environment, including the tools nobody approved. Then we baseline what your staff understand about the systems they are using every day.
Govern
We translate the NIST AI RMF Govern function into policy your organization can actually enforce: acceptable use, data handling, review thresholds, and named accountability.
Operate
Training delivers the policy to the people bound by it, in the language of their role. The result is a workforce that applies the controls without needing to read the framework.
AI training modules
Delivered instructor-led, in tracks sized to the role. Modules combine into a program, or stand alone where a single gap needs closing.
AI Literacy for Non-Technical Staff
Before anyone can use AI safely, they need to understand what it actually does. We cover how large language models generate output, where they are reliable, and where confident-sounding answers are wrong. Plain language, no math prerequisites.
Prompt Skills for Real Work
Prompting is a job skill, not a trick. Participants learn to structure context, constrain output, verify results, and build repeatable prompts for the work they already do. Every exercise uses tasks drawn from the learner's own role.
AI Security Risks
Prompt injection, data leakage into third-party models, and shadow AI running outside IT's knowledge are the three failures we see most. We teach people to recognize each one and what to do when they encounter it, rather than guessing.
NIST AI RMF for Leadership
Executives and risk owners work through the Govern, Map, Measure, and Manage functions as decisions they have to make. The session ends with risk appetite, review thresholds, and accountability assigned to named roles instead of left open.
Role-Based Tracks
An executive setting AI risk appetite needs something different from a developer wiring up an API or an analyst drafting reports. We deliver separate tracks for leadership, technical staff, and general workforce so no one sits through the wrong material.
Secure AI Adoption
Policy and training have to agree. We align curriculum to your acceptable use policy, or build both together with our AI governance practice, so what people learn in class matches what they are permitted to do at their desk.
What the framework produces
Each RMF function maps to work we perform and an artifact you can hand an auditor. No function is left as an intention.
AI training questions.
- Who is this AI training for?
- Organizations adopting AI that need their people to use it safely, and teams responsible for governing that adoption. Content is role-based: the obligations of a developer wiring up a model differ from those of a manager approving its use or an executive setting risk appetite.
- Is this about using AI tools, or securing them?
- Securing them, and governing their use. The training assumes AI is already in the building and focuses on what has to be true for that to be safe: where data may go, which uses require human review, how prompt injection and data leakage happen, and who is accountable when a model produces something wrong.
- What is the NIST AI RMF and why build training around it?
- The NIST AI Risk Management Framework organizes AI risk into four functions, Govern, Map, Measure, and Manage. Building the training on it means the vocabulary your staff learn matches the framework your governance program and your auditors are already using.
- Do participants need a technical background?
- Not for the governance and awareness modules, which are written for the people making decisions about AI rather than building it. Technical modules covering AI security controls assume working familiarity with the systems involved.
- Can the training be tailored to our environment?
- Yes. Scope and cadence are set per engagement, and the modules map to the AI systems and controls your organization actually has rather than to a generic curriculum.
- How does this relate to your AI governance consulting?
- They are two halves of the same program. Consulting establishes the policy, risk register, and controls; training is how those reach the people whose daily decisions determine whether the controls hold.