The AI Governance Playbook: Build Trust, Manage Risk, and Scale Responsibly

Описание: AI is moving faster than most organizations can keep up and while the opportunities are enormous, so are the risks. As teams experiment with new models, introduce automation into core workflows, and adopt AI-powered tools across the business, many leaders are asking the same question: How do we innovate responsibly without slowing progress?

In this webinar, we'll share a practical, actionable approach to AI governance that helps organizations of any size or industry adopt AI with clarity, confidence, and control. Drawing from our new white paper, From Control to Confidence: A Playbook for AI Governance, we’ll break down the structures, processes, and safeguards that support trustworthy and scalable AI programs.

You’ll learn how to:
•Establish the foundations of trustworthy AI
•Govern the full AI lifecycle
•Manage the expanding AI vendor ecosystem
•Address fairness, bias, and explainability
•Build systems that adapt and endure

Whether you're shaping strategy, building models, or managing risk, this session will give you the clarity and structure you need to move beyond ad-hoc experimentation and build AI practices that scale. Join us to discover how strong governance can accelerate innovation, strengthen trust, and prepare your organization for what comes next in the AI landscape.

Speakers:
Chris VanHuysse, BFSI Business Principal at MentorMate, is a veteran leader in banking and financial services, known for bridging hands-on operations expertise with deep compliance knowledge. A summa cum laude graduate of Saint Louis University and a former law enforcement professional, Chris brings a rare, practical perspective on risk, controls, conduct, and regulatory expectations. Over the past 20 years, he has led teams through complex operational challenges, helped organizations strengthen their compliance cultures, and turned regulatory pressure into strategic advantage. A three-time recipient of U.S. Bank’s highest honor, Legends of Possible, Chris is recognized for driving meaningful results, championing ethical decision-making, and inspiring teams to deliver their best work in high-stakes environments.

Poonam Jain, Director of Quality Engineering at Tieto Tech Consulting, brings 25 years of global experience in modernizing software delivery through AI-powered Quality Engineering, automation, and SDLC transformation. A Certified TMMi Professional, Agile and SAFe Practitioner, and ICF Professional Certified Coach, Poonam is recognized for simplifying complex engineering ecosystems and implementing GenAI-enabled testing frameworks that enhance speed, quality, and governance. She helps organizations adopt AI in QA and delivery responsibly, ensuring innovation remains structured, scalable, and safe.