Validus AI Partners

Summer 25

Q2 2026 Enterprise Sprint: AIMS & NIST AI RMF

Scaling AI past the pilot phase requires bridging raw ML capabilities with governed enterprise execution. This 1-page playbook isolates the critical "Discovery and Validation" phase of the NIST AI RMF. You will get the exact 5-step checklist to categorize AI risk and map system interdependencies before committing engineering resources. These are the foundational ISO/IEC 42001 protocols utilized to safely migrate 158 legacy models to Vertex AI via a custom enterprise deep learning engine, delivering a +29% incremental lift.

The AIMS Validation Playbook: 5 Steps to Govern Enterprise ML

The playbook to evaluate enterprise AI risk against NIST RMF & ISO 42001

Principal AI Strategist, ISO 42001 AIMS

The Home Depot

WCTC

Northwestern Mutual

Omnicom Media

SC Johnson

Eric Dabols

AI Product Leader driving governed, enterprise-scale ML infrastructure.

The Reality: The board demands rapid AI ROI, but a regulatory tsunami—led by the EU and Colorado AI Acts—has changed the rules overnight. System liability now rests squarely on your shoulders.The Trap: You cannot outsource this liability to cloud providers. Relying on ad-hoc AI deployments or hoping siloed InfoSec, Data, and Product teams organically align is a massive business risk. Scaling without a unified framework invites security vulnerabilities and compliance failures.The Transformation: This workshop cuts through the hype to deliver a pragmatic executive toolkit. We aren't training you to be an auditor. Using the Applied AI Framework (AAIF™), you will learn to navigate the core standards governing enterprise AI (ISO/IEC 42001 and the NIST AI RMF). You will discover how to evaluate if your current architectures are truly ready to support compliant scaling.The Outcome: You will leave equipped with the exact diagnostic questions to assess your teams. You will gain the strategic clarity to identify operational gaps, force cross-functional alignment, and confidently evaluate your organization's readiness to deploy AI safely.

Translate the NIST AI RMF into scalable AIMS. Shift from managing risky pilots to driving governed, enterprise-scale AI product velocity.

Operationalize the NIST AI RMF

Architect Compliance Velocity with AAIF™

Execute Discovery & Validation Protocols

Enforce Responsible Usage Governance

Product Managers &amp; AI Strategists: You own the roadmap and need to bridge raw ML capabilities with governed, enterprise-scale execution.

AI Data Specialists &amp; ML Architects: You build the models but need robust AIMS infrastructure to safely deploy them into production.

AI Governance &amp; Risk Leaders: You must translate static regulatory frameworks into agile protocols that accelerate product deployment.

Enterprise AI Governance: Evaluate Risk via NIST AI RMF

Lead AI Strategist, ISO 42001 AIMS Sr. Lead Implementer

Assess the immediate impacts of the EU and Colorado AI Acts on your enterprise GenAI and ML product roadmaps.

Navigate the Global Regulatory Tsunami

Decode ISO/IEC 42001 requirements to assign executive accountability and properly categorize AI risk levels.

Establish Your AI Management System (AIMS)

Stop relying on cloud providers. Learn to embed AI governance directly into existing security architectures.

Integrate AI with InfoSec & Data Governance

Use the Applied AI Framework to secure unified sign-off from Product, Engineering, and Legal/Risk leadership.

Learn directly from Validus AI Partners

Validus AI Partners

Workshops

Enterprise AI Governance: Evaluating Risk via NIST AI RMF & ISO/IEC 42001 AIMS

Lightning Lessons

Enterprise AI Governance: Evaluate Risk via NIST AI RMF

Resources

The AIMS Validation Playbook: 5 Steps to Govern Enterprise ML