Fall 2026 Facilitation Certification Application Deadline Sept 18th
Fall 2026 Facilitation Certification Application Deadline Sept 18th
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Podcast | August 11, 2026

In this episode of the Facilitation Lab podcast, host Douglas Ferguson interviews Kristi James, a Lead Change Manager at the World Health Organization's Health Emergencies Programme in Berlin. Kristi traces her facilitation instincts back to childhood event planning and an early corporate career at DHL, where she discovered that sketching out processes and user journeys helped teams see where they belonged, resolve role confusion, and surface disagreement productively. She describes how a coach, Mary Beth Maines, helped her recognize creativity she had dismissed in herself, and how that shift now shapes the way she draws out scientists and doctors at WHO who are more comfortable debating than co-creating. Kristi walks through concrete practices, from visual cues and whiteboards that anchor group memory to 1-2-4-All exercises that convert passive listeners into active participants, and a recent example of using a user-journey diagram to unstick a stalled budget negotiation. The conversation closes on her core belief that visualizing a process doesn't just clarify tasks, it gives groups a safer, more concrete way to name resistance and work through conflict together.

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AI | August 3, 2026

As AI rapidly transforms how work gets done, one leadership skill is becoming more valuable than ever: facilitation. While AI can accelerate execution, it cannot replace the human ability to align teams, navigate complexity, build trust, and guide better decisions. Organizations that invest in facilitation create leaders who can turn diverse perspectives into meaningful action, foster collaboration, and unlock the full value of AI. Discover why facilitation is emerging as the defining leadership competency for the AI era and how it empowers teams to thrive through constant change, innovation, and increasingly complex challenges.

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AI | June 19, 2026

AI governance is no longer theoretical. Recent cases involving Air Canada's chatbot and iTutorGroup's AI recruiting system show that organizations, not AI tools, are legally accountable for AI-generated outcomes. This article explores what these landmark cases reveal about AI liability, governance failures, and the risks of deploying AI without human oversight. Learn why monitoring, data quality, human review, and cross-functional decision-making are essential for responsible AI implementation. Discover four practical governance patterns that help organizations reduce risk, improve accountability, and build AI systems that are both innovative and defensible.

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AI | June 12, 2026

AI is quietly reshaping the workforce in ways most leaders aren’t measuring. While concerns often focus on entry-level job loss, the bigger risk is the erosion of apprenticeship and skill development. Drawing on research from Cornell, MIT, Yale, Microsoft, and real-world examples from organizations adopting generative AI, this article explores how “AI chains” remove the learning experiences that turn juniors into future experts. Learn why experience starvation threatens leadership pipelines, how hidden AI adoption creates governance blind spots, and what organizations can do to preserve mentorship, judgment, and long-term capability while still capturing AI-driven productivity gains.

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AI | May 15, 2026

Organizations are no longer debating whether AI matters. They are being pulled into two very different futures. This post explores the growing divide between companies investing heavily in AI infrastructure and automation, and those focusing on the human capabilities required to make AI actually work inside organizations. Drawing from nearly a decade of experience in facilitation and AI transformation, it examines why trust, decision-making, collaboration, and organizational adaptability are becoming the real differentiators in the age of AI. A thought-provoking look at the widening gap between technological acceleration and human readiness, and why the middle ground is quickly disappearing.

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The 2026 Facilitation Lab Summit brought eight extraordinary facilitators together in Austin, Texas to explore the theme of Edges: the moments of tension, uncertainty, and emergence where the most powerful work gets done. Across two days of hands-on sessions, participants explored collective wisdom, whole intelligence, embodied presence, trauma-informed facilitation, the power of metaphor, and what it truly means to show up as a facilitator rather than just perform as one. This recap covers every session with links to the full blog post and video for each speaker, offering both a window into what happened and a practical resource for your ongoing facilitation practice.

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AI | May 8, 2026

Most organizations are investing heavily in AI adoption but seeing little return because traditional training models fail to create lasting behavior change. Research from organizations like Gartner and Anthropic reveals that employees quickly forget one-time AI training and struggle to integrate AI into daily workflows. While licenses and training programs increase, real usage and collaboration remain low. This article explores why AI adoption is a design problem rather than a training problem, highlighting emerging research, behavioral insights, and a new three-part framework that helps organizations build true AI fluency through practice, iteration, and collaborative ways of working.

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At the 2026 Facilitation Lab Summit, Trudy Townsend closed two days of deep work with a session that went straight at a topic every facilitator encounters but rarely names: trauma is already present in every room you enter, and it shapes how people show up, engage, and disengage. Drawing on the ACEs study, Dan Siegel's hand model of the brain, and years of practice, Trudy offered facilitators a grounded understanding of how the nervous system works, what dysregulation looks like in a group, and what it actually takes to create safety. Not a checklist, but a stance. A must-read for anyone committed to building spaces where participants can genuinely show up as their best selves.

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AI | May 1, 2026

“Collaborative AI” is one of the most overused terms of 2026, often stretched to describe everything from multi-agent systems to solo prompting in tools like ChatGPT. This ambiguity hides what actually matters: how teams work together with AI in real-world settings. This piece cuts through the noise, challenging shallow definitions and offering a practical, experience-based perspective. Learn the difference between agent-to-agent workflows, individual AI use, and true team collaboration with AI—and why only one of these reflects the meaningful shift happening inside organizations today.

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AI | May 1, 2026

AI is accelerating execution, but many organizations are stalling. This post explores the hidden tradeoff behind AI efficiency, introducing concepts like Capability Debt and beneficial friction. Learn why over-automation can erode judgment, how contiguous AI workflows increase risk, and what leaders must do to preserve decision-making capacity. Drawing on research from MIT and real-world examples, it reframes AI transformation as a leadership and facilitation challenge, not just a technology rollout. Discover practical strategies to balance speed with resilience and build organizations that scale without losing their ability to adapt.