Blog Posts by Jack Phillips

Learn where AI is creating supply chain impact by improving supplier coordination, reducing ambiguity, and giving teams earlier visibility into delivery risk. 

Current agentic AI technology works best vertically, not horizontally. Finance provides a proving ground where agents automate workflows, strengthen controls, and deliver measurable business impact. 

Many organizations have deployed AI training. The next challenge is adoption. Learn what separates awareness from real operational impact. 

As enterprises move beyond AI MVPs, this piece explains why real impact comes not from adding more agents or tools, but from deliberately connecting mature data platforms to specific business constraints, operating models, and measurable performance outcomes.

Many organizations have AI in motion. Tangible value is elusive. Learn what separates enterprise AI programs that scale from those that never make it past early momentum. 

From GenAI to agentic AI in under a year, enterprises face more questions than answers. Learn how AI governance leaders can navigate hype cycles without losing sight of value.

AI is being sold as a revolution, but today’s pressure to act fast is pushing organizations toward decisions they can’t sustain. This article lays out why 2026 demands a more disciplined mindset—one centered on readiness, governance, and human judgment over hype.

In our last installment exploring IIA’s Returned Business Value (RBV) framework, Jack Phillips explores the variable of risk and common failure modes we see in organizations.

In the second installment exploring IIA’s Returned Business Value (RBV) framework, we take a closer look at calculating commercial value in analytics and AI.