Up Next @ Work, Episode 37 with Chris Havrilla, Chief Advisor & Analyst at AI Alchemists

In this episode of Up Next at Work, Katie Achille sits down with Chris Havrilla, Chief Advisor & Analyst at AI Alchemists, to explore what organizations need to rethink as AI becomes increasingly embedded in workforce decisions. With experience across the enterprise buyer, technology vendor, and analyst worlds, Chris explains why traditional governance models are no longer enough – and why companies need to start architecting consequences rather than inheriting them. Their conversation considers “systems of consequence,” the widening gap between AI adoption and accountability, and what happens when decisions are made at machine speed and scale. Chris shares guidance for organizations building “consequence architecture,” including how to map decisions, assess severity, establish ownership, and audit for the outcomes that actually matter. Key highlights: Why governance has lagged behind adoption The problem with "human in the loop" thinking The real cost of AI, especially with the kill switch as a strategy To learn more about Chris' work, visit AI Alchemists, follow her Substack, or connect with her on LinkedIn.