Jacey Heuer, Head of AI at Pella Corporation, Answers Your Questions about Agentic AI
The Head of AI at Pella Corp reviews questions from our webinar together and discusses Pella's specific approach to rolling out enterprise AI.
The Head of AI at Pella Corp reviews questions from our webinar together and discusses Pella's specific approach to rolling out enterprise AI.
The operating model is where good change management either compounds or collapses, and most enterprises have built theirs to deploy AI rather than sustain it.
Most organizations diagnose AI adoption failure as a training problem and respond with more training. Jack Phillips argues the primary barriers are psychological, and that most change programs are solving them in the wrong order.
Visible AI activity can mask uneven readiness. Learn what IIA advisory and assessment data reveal about the maturity gaps shaping enterprise performance.
AI readiness depends on more than platforms. See why your analytics operating model design now matters just as much as data, governance, and architecture.
AI readiness is not about activity, it is about delivery. If your data cannot reliably move, scale, and support real workflows, your AI strategy is not ready yet.
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.