Create a practical AI governance model from NIST AI RMF, EU AI ACT and ISO 42001
Dr. Akshay SP
Head of AI | Founder @Cydratech
Hussam Ahmad
Leadership & Product Excellence Coach
How to operationalize AI governance using ISO 42001, NIST AI RMF and EU AI Act
AI is already embedded in your products, decisions, and workflows. But while leaders have defined principles like “be ethical, fair, and transparent,” teams on the ground are left asking:
What does that actually mean in practice? Who is responsible? What do we do differently tomorrow? How to comply with EU AI ACT, NIST AI RMF or ISO 42001?
Most organizations don’t have an AI problem, but they have an AI governance gap.
This gap creates real risk: inconsistent decisions, reputational exposure, and growing pressure from regulations like the EU AI Act, ISO 42001 and more to come.
In this workshop, we help you turn abstract AI governance into concrete action. You will learn how to translate high-level principles into clear roles, practical workflows, and auditable controls aligned with ISO 42001, NIST AI RMF, and emerging regulation.
You’ll leave with a practical playbook you can apply immediately so your organization can scale AI with confidence, not uncertainty.
What you’ll learn
Build Your AI Governance Playbook: From Principles to Actionable Practices in 1 Day
Learn case studies of AI governance failures
Understand EU AI Act vs NIST AI RMF vs ISO 42001 AIMS
Breakdown Responsible AI objectives
Map the context and policies of your organisation to the governance model
Identify AI goals of the stakeholders and interested parties
Know the elements of a great AI policy
Understanding AI Inventory and Shadow AI
Map out the ownership and accountability across the model
AI risk criteria creation and classification (inspired by EU AI Act and NIST AI RMF)
Conduct an AI impact assessment
Identify and measure AI risks including third party AI risks
Choosing the right AI risk treatment controls
Ensuring resources and competence for AI governance model
Establish workflows for monitoring and continuous improvement of the governance model
Workshop agenda
Welcome & Framing
Outcome: Shared understanding and clear expectations
From Principles to Practice
Output: Your first set of practical AI rules
Build Your AI Governance Model
Output: A clear governance model you can implement
AI Risk & Impact in Practice
Output: Your AI risk & impact overview
Designing Auditable Workflows
Output: A governed AI workflow (ready to use)
From Workshop to Action
Output: A clear action plan to operationalize AI governance
Wrap-Up & Q&A
Lock in the learning
Learn directly from Akshay & Hussam
Dr. Akshay SP
AI Governance Expert | Founder and Head of AI at Cydra Tech
Hussam Ahmad
Leadership & Product Excellence Coach
Who this workshop is for
The Head of Product / Digital Transformation Lead
Experiencing: We’re scaling AI—but we lack control.The Risk / Compliance / Legal Leader
Thinking: We’re exposed—but we don’t know where.
The Tech / Data / AI Leader
Feeling: We’re building AI—but governance slows us down.
What's included
Live sessions
Learn directly from Dr. Akshay SP & Hussam Ahmad in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
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.
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Frequently asked questions
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Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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