Enterprise AI Governance & The NIST AI RMF
Eric Dabols
Principal AI Strategist, ISO 42001 AIMS
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3 people enrolled last week.
The actionable playbook to operationalize the NIST AI RMF and vendor governance.
Most enterprise AI initiatives stall in the pilot phase. As product and risk leaders, we are expected to drive immediate value from raw machine learning capabilities. But without structured governance, moving from a proof-of-concept to production creates a massive bottleneck. You aren't just shipping features—you are managing regulatory exposure, cross-functional friction, and system interdependencies.
This executive sprint cuts through theoretical noise. We will translate the static NIST AI RMF into a living, operational AI Management System (AIMS). I will share the exact playbooks and ISO/IEC 42001 certified protocols required to govern product velocity at scale. This is the Applied AI Framework™ (AAIF)—the operational architecture used to safely migrate 158 legacy models to Vertex AI, delivering a +29% incremental lift.
You will leave this 1-day intensive with actionable templates for Strategy & Alignment, Discovery & Validation, and Responsible Usage Governance. We will shift your organization's posture from reactive compliance to proactive execution.
What you’ll learn
Translate the NIST AI RMF into scalable AIMS. Shift from managing risky pilots to driving governed, enterprise-scale AI product velocity.
Transition from theoretical risk to an actionable AI Management System across the Govern, Map, Measure, and Manage domains.
Learn the exact playbooks to align third-party AI vendor procurement and enterprise adoption with strict ISO/IEC 42001 standards.
Establish the data provenance required to map system interdependencies and assess third-party vendor risk before resources are committed.
Build the quantitative systems to track model drift, mitigate sociotechnical impacts, and ensure continuous performance lift at scale.
Learn directly from Eric
Eric Dabols
AI Product Leader driving governed, enterprise-scale ML infrastructure.
Who this course is for
Product Managers & AI Strategists: You own the roadmap and need to bridge raw ML capabilities with governed, enterprise-scale execution.
AI Data Specialists & ML Architects: You build the models but need robust AIMS infrastructure to safely deploy them into production.
AI Governance & Risk Leaders: You must translate static regulatory frameworks into agile protocols that accelerate product deployment.
What's included
Live sessions
Learn directly from Eric Dabols 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.
Maven Guarantee
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Course syllabus
Week 1
May
15
Operationalizing the NIST AI RMF: Building Enterprise AI Management Systems
Kickoff: The Enterprise AI Bottleneck
Module 1: GOVERN (Strategy & Alignment)
Module 2: MAP (Discovery & Validation)
Peer Sync & Morning Q&A
Module 3: MEASURE (Quantitative Infrastructure)
Module 4: MANAGE (Responsible Usage Governance)
Closing: The Operational Handoff
Schedule
Live sessions
6 hrs
Fri, May 15
2:00 PM—8:00 PM (UTC)
Frequently asked questions
$1,250
USD