Publications

• Forbes: Beyond Agile: The Rise Of AI SDLC
• Forbes: The Hidden Factor Behind Successful AI Adoption: Behavioral Science
• Featured in CIO Magazine: 6 IT rules worth breaking — and how to get away with it
• Mind the Product: Why AI development demands product operating models

AI Strategy & Product Development Expert Witness

Specialties & Experience of this Expert Witness

Additional Information

Mike Hyzy is a Vice President of Strategy and Innovation and a nationally recognized expert in Artificial Intelligence, Machine Learning, and Product Development. He serves as an advisor to Fortune 500 enterprises and public-sector organizations on AI strategy, algorithmic accountability, product design, and technology adoption. His work spans the entire AI lifecycle—from research and data strategy through model validation, responsible deployment, and organizational change. Mike has led enterprise-scale AI programs across healthcare, financial services, and consumer industries, developing frameworks for Responsible AI, bias mitigation, model risk management, and explainability. He has overseen implementations of natural language processing, generative AI, and predictive analytics systems, integrating them into high-stakes, regulated environments where transparency and compliance are critical. His expertise includes governance audits, data provenance, AI ethics, and large language model (LLM) operations. Mike holds an MBA from the University of Illinois Urbana-Champaign with a concentration in digital marketing and innovation leadership. He is certified in Product Management (NPDP), CRISP-DM and CPMAI (Cognitive Project Management for AI), Strategic Foresight (IFTF), and Agile Leadership (Scrum Alliance). He is also the author of Gamification for Product Excellence, a widely cited guide that connects behavioral psychology and product innovation. He serves as a guest lecturer and workshop leader at universities including Northwestern University, Roosevelt University, and the University of Illinois, teaching courses on AI strategy, innovation management, and digital transformation. Mike frequently keynotes professional conferences such as PDMA, PMI, and AI2030, where he speaks on Responsible AI, AI governance, product ethics, and enterprise adoption. Mike’s professional portfolio includes leading national AI initiatives at CGI, where he designed and operationalized the DIAMOND Framework:an end-to-end model for AI-driven product design and adoption. He has consulted on model auditability and compliance in litigation contexts involving algorithmic decision-making, data integrity, and AI product failures. He combines technical fluency with communication excellence, shaped by early experience in the arts and performing, allowing him to explain complex AI systems in clear, persuasive, and engaging language suitable for courts, juries, and nontechnical audiences. He has appeared as an AI expert for organizational policy reviews, product liability disputes, and intellectual property cases involving machine learning, data pipelines, and automated decision systems. Areas of expertise include: • AI and Machine Learning System Design • Algorithmic Bias and Responsible AI Practices • Data Science and Predictive Modeling Governance • Large Language Models and Generative AI Systems • Human–AI Interaction and UX for AI Products • AI Product Lifecycle Management and Risk Audits • Digital Transformation and Enterprise Technology Adoption • Software Development Process and Agile Methodology for AI • AI Strategy, Foresight, and Innovation Program Design **Conflict Disclosure:** I do not accept cases adverse to Amazon, Anthropic, Celonis, Databricks, ElevenLabs, Figma, Google, Microsoft, Mural, OpenAI, Palantir, Salesforce, Snowflake, or UiPath due to current partnerships and advisory relationships. I am available for engagements that support or align with these organizations. Vendor affiliations are reviewed and updated quarterly. Please reach out directly with any questions regarding potential conflicts or case eligibility.