Everyone is talking about AI, but far fewer organizations are actually scaling it. David Vidoni, CIO at Pega Systems, joins Shawn Cordner of Amplix to cut through the noise and get practical. 

The conversation covers where enterprise leaders should be focusing their automation efforts across finance, HR, and legal functions; how to approach the pilot-to-scale gap and what the widely cited MIT finding that 95% of AI pilots fail to produce ROI actually tells us; and why the phased, iterative approach to modernization consistently beats the high-risk big bang. David also shares how enterprises can build the governance and quality controls needed to trust AI at scale, what explainability and audit trails look like in regulated industries, how to vet AI vendors for supply chain risk, and why change management remains the variable that determines whether any of it sticks. 

If your organization is past the curiosity stage and ready to build something that lasts, this episode is the starting point.

What You'll Learn:

• Where AI automation is generating real ROI beyond the obvious entry points, including finance, HR, and legal functions
• How to structure a POC that is designed to scale from day one and avoid the pilot-to-scale trap
• Why phased modernization consistently outperforms big bang migrations and how to build the case internally
• What governance, audit trails, and quality controls need to look like before you trust AI to run autonomously
• How to manage AI model drift in regulated industries subject to SOX compliance and HIPAA requirements
• What ISO 42001 certification means and why it should factor into your vendor selection process
• How to evaluate supply chain risk when AI is embedded in the platforms your business depends on
• Why change management determines whether AI adoption succeeds or stalls regardless of the technology