SME Lunch and Learn: From AI Experimentation to Defensible Deployment - A Practical Governance Playbook for Regulated Organizations

Join MTC for our in-person Subject Matter Expert Lunch and Learn sponsored by Alongside AI:  From AI Experimentation to Defensible Deployment - A Practical Governance Playbook for Regulated Organizations 

This session is educational and framework-driven, grounded in real-world operator experience. It is intentionally focused on practical decision-making, not vendor demos or speculative AI trends.

In regulated industries like pharma, healthcare, financial services, and insurance, the organizations pulling ahead with AI are not the ones experimenting the most. They are the ones that can approve, deploy, and scale AI faster than their peers without triggering regulatory, legal, or reputational risk.

Most organizations are already using AI, whether leadership realizes it or not. The real competitive challenge is no longer access to AI tools, but the ability to deploy AI in ways that withstand regulatory scrutiny, customer due diligence, and internal risk review.

This practical, executive-level session is designed for leaders who want to move faster with AI while maintaining control, trust, and defensibility.

The workshop walks through a proven governance-first framework for moving AI initiatives from experimentation to defensible production. Topics include:

• How to identify and surface “shadow AI” already in use across teams and functions
• How to classify AI use cases by risk and business impact, not hype or tooling
• How to align AI initiatives with emerging standards such as the EU AI Act and NIST AI Risk Management Framework
• How to design governance structures that enable faster, more confident approvals rather than slowing teams down

Organizations that get this right earn the confidence to move faster:

• AI initiatives are approved more quickly and consistently
• Legal, compliance, and risk teams act as enablers instead of bottlenecks
• Leaders can clearly explain AI decisions to boards, regulators, and customers
• Customer and partner AI due diligence becomes easier and less disruptive
• AI shifts from a source of uncertainty to a managed, scalable capability

Attendees will leave with a clear understanding of where AI risk typically hides, how to assess their organization’s readiness, and what concrete next steps look like for scaling AI responsibly in regulated environments.

Who should attend:

Executives and leaders in compliance, legal, IT, product, data, risk, and innovation functions within regulated organizations.

Subject Matter Expert:  Evan Glaser, Founder and Chief Executive Officer, Alongside AI

Evan Glaser is the Founder of Alongside AI, a consultancy that helps regulated and reputation-sensitive organizations move AI initiatives from experimentation to defensible, production-grade deployment and turn AI governance into a competitive advantage.

Evan has worked with dozens of Fortune 500 companies across highly regulated sectors including pharma, healthcare, financial services, insurance, and professional services. His experience spans multi-million-dollar engagements focused on AI governance, cybersecurity, data privacy, and the deployment of AI systems in complex enterprise environments.

Before founding Alongside AI, Evan built and advised AI governance and risk programs at the intersection of cybersecurity, data protection, and AI systems, including work on AI-enabled security platforms and enterprise risk frameworks. He has supported organizations aligning AI initiatives with emerging regulatory and assurance expectations, including the EU AI Act, NIST AI Risk Management Framework, and industry-specific regulatory requirements.

Evan is known for a pragmatic, operator-led approach to AI. Rather than focusing on tools or theory, his work centers on helping leaders make clear, defensible decisions about which AI initiatives to approve, which to constrain, and how to scale AI responsibly while maintaining trust with regulators, customers, and boards.

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