Practical NIST AI RMF: Build Your AI Risk Playbook in One Day
Francois B. Arthanas
AI Governance Advisor & Ph.D. Scholar
Most AI governance programs fail because they stop at theory & principles.
In this 1-Day Workshop you will NOT spend the day reading the framework line by line.
You will build.
By the end of the workshop, you will have a practical NIST AI RMF implementation package you can reuse for internal AI systems, vendor AI tools, GenAI copilots, RAG systems, chatbots, predictive models, automated decision systems, and AI-enabled workflows.
That's because your organization probably already knows the right words:
Responsible AI.
Trustworthy AI.
Human oversight.
Fairness.
Transparency.
Privacy.
Safety.
Accountability.
But when an actual AI system needs to be approved, the hard questions start:
Which AI systems do we have?
Who owns them?
Who could be harmed?
Who accepts residual risk?
What happens when the system fails?
That is where many AI governance efforts break down. AND that's the gap this workshop closes.
You will answer four essential questions:
1. GovernWho owns AI risk, what policies apply, and how do we make decisions?
2. MapWhat is the AI system, where is it used, who is affected, and what could go wrong?
3. MeasureHow do we test, evaluate, verify, validate, and document the risks?
4. ManageWhat controls, approvals, monitoring, escalation, and incident response are needed?
Workshop agenda
- 10:00AM EDT
Welcome and AI RMF orientation
You will start by learning how NIST AI RMF works and why AI risk is different from ordinary software, cybersecurity, privacy, or model risk.
- 10:45AM EDT
GOVERN: Set up the minimum viable AI governance process
AI risk management needs clear ownership, decision rights, and escalation paths. In this block, you’ll learn how to make AI governance operational without overbuilding bureaucracy.
- 12:00PM EDT
MAP: Understand the AI system before judging it
Most AI reviews fail because teams jump straight to technical metrics without understanding the system’s real-world context. You will map how the system works, who uses it, and who is affected.
- 1:15PM EDT
Lunch break
To my overachiever you can use some of this time to refine your AI system description and prepare to turn your mapped concerns into measurable risks.
- 2:00PM EDT
MEASURE: Turn AI risks into tests, metrics, and evidence
Once risks are mapped, they need to be measured. This block teaches you how to design practical testing, evaluation, verification, and validation activities.
- 3:00PM EDT
MANAGE: Make the risk decision
AI risk management is not just about identifying risks. It is about making defensible decisions. In this block, you’ll learn how to prioritize risks, assign controls, and document residual risk.
- 3:45PM EDT
15 minutes Break
Grab some water!
- 4:00PM EDT
MONITOR: Post-deployment oversight, incidents, appeals, and decommissioning
The riskiest moment is often after launch. AI systems can drift, fail, be misused, or create unexpected impacts once deployed.
- 5:00PM EDT
SPECIAL FOCUS: GenAI, vendor AI, and foundation models
Most organizations are not only building AI. They are buying it, embedding it, piloting it, and letting employees use it.
- 5:30PM EDT
CLOSING: Your 30-day AI RMF action plan
You’ll close the day by translating the workshop into a practical next-step plan for your organization.
Learn directly from Francois
Francois B. Arthanas
AI Governance Advisor & Ph.D. Scholar (CISSP, CISA, AAIA) | Founder, Cyber Pros Training
Who this workshop is for
For teams responsible for approving, governing, or deploying AI
Risk, compliance, legal, privacy, security and internal audit teams
Consultants, advisors, procurement and vendor-risk teams
What's included
Live sessions
Learn directly from Francois B. Arthanas in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
AI RMF implementation template pack
You will receive reusable templates for inventory, risk tiering, mapping, impact assessment, measurement, risk treatment, monitoring, incidents, vendor review, and executive approval.
AI RMF Resource library
You’ll receive a curated set of NIST AI RMF references, implementation prompts, checklists, and suggested next steps.
GenAI and vendor AI addendum
You will learn how to adapt the process for GenAI tools, RAG systems, copilots, AI agents, and third-party AI platforms.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
30-day action plan
You will leave with a practical roadmap for applying the workflow inside your organization.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Join the Founding Cohort and get 1 - 1 w/ Francois
This is the first public Maven cohort of the Practical NIST AI RMF: Build Your AI Risk Playbook in One Day
The workshop is built from real-world AI governance implementation experience and designed for practitioners who need more than a conceptual overview.
Founding cohort participants will work directly through the full AI RMF workflow and leave with a practical implementation package for one AI system. They will also have direct access to Francois (Yes, including his Cell Phone number) and ability to schedule a 1-1 call.
Frequently asked questions
$497
USD