Architecting AI Compliance Velocity

Hosted by Eric Dabols

Thu, May 7, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

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Operationalizing the NIST AI RMF: Building Enterprise AI Management Systems
Eric Dabols
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What you'll learn

Unblock Stalled AI Pilot Models

Learn to map system interdependencies and safely transition raw ML capabilities into governed production.

Track Model Drift & Risk at Scale

Discover how to establish the quantitative governance required to monitor AI performance in live environments.

Accelerate With ISO/IEC 42001

See how operationalizing the NIST AI RMF shifts your posture from reactive compliance to proactive execution.

Why this topic matters

Most enterprise AI initiatives stall in the pilot phase due to a lack of structured governance. Moving from a localized proof-of-concept to production creates a massive bottleneck. This lesson demonstrates how translating static regulatory frameworks into living AI Management Systems (AIMS) actually accelerates product velocity, allowing you to scale machine learning safely.

You'll learn from

Eric Dabols

Lead AI Strategist, ISO 42001 AIMS Sr. Lead Implementer

Eric Dabols is the Lead AI Product Strategist at Validus AI Partners and an ISO/IEC 42001 Senior Lead Implementer specializing in enterprise-scale AI Management Systems. He recently directed the safe migration of 158 legacy models to Vertex AI via a custom enterprise deep learning engine, delivering a +29% incremental performance lift. A veteran of Fortune 500 infrastructure and an Advisory Board member at WCTC, Eric provides product and risk leaders with the exact operational playbooks required to achieve AI compliance velocity.

The Home Depot
Northwestern Mutual
WCTC
Omnicom Media
SC Johnson

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