Closing the Human-AI gap
A keynote and interactive discussion on why AI transformations can fail — and how to transform into organizations where humans and AI thrive together.
What it offers
A keynote that reframes AI transformation as a Human–AI systems challenge — not a tech challenge — and gives leaders the mental models, diagnostics, and operating principles required to beat the high failure rate.
Most AI initiatives fail not because the models are weak, but because organizations treat AI as a software deployment instead of a redesign of how humans and machines think, decide, and work together. This keynote gives executives a deep, practical understanding of the six systemic failure patterns, the human capabilities that must evolve, and the organizational redesign required to convert AI from a pilot graveyard into a durable source of enterprise advantage.
AI is reshaping cognition, workflows, and decision-making across the enterprise. But without the right human-AI architecture — cognitive safeguards, collaboration patterns, new metrics, and capability development — teams experience cognitive degradation, automation theater, and stalled adoption. This talk equips leaders with the frameworks needed to rebuild collaborative intelligence, redesign work around complementarity, and create conditions where both humans and AI get smarter over time.
What’s covered
The six Human–AI failure patterns. Why nearly all failed AI transformations follow the same predictable patterns — from misaligned incentives to degraded judgment loops.
How to architect Human–AI collaboration. Principles for allocating tasks, designing handoffs, and rebuilding workflows around human strengths and machine strengths.
Metrics that matter. How to replace adoption vanity metrics with collaborative-intelligence KPIs that actually predict performance and capability growth.
Cognitive safeguards. Techniques to prevent over-reliance, preserve critical thinking, and maintain human agency in AI-mediated decisions.
Portfolio-level strategies. How to balance automation efforts with net-new human-AI work design and avoid the “pilot maze.”
Building a learning organization. How to operationalize continuous improvement so both the humans and the models get smarter over time.
45-90 minutes in length
In person or virtual
Fee negotiable based on location and audience
The audience leaves with a clear understanding of what it takes to transform an enterprise in the age of AI, the key failure patterns and how to avoid them, and the practical steps they can take as individuals to avoid over-reliance, build their own critical thinking and thrive in Human-AI collaboration.
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