Organizations everywhere are experimenting with AI, but relatively few are translating those investments into measurable business value. Research shows that while AI spending continues to accelerate, many organizations still struggle to move beyond isolated pilots and productivity experiments.
Join Learning Tree’s Leadership Practice Lead Jonathan Gilbert and Senior Product Manager Jen McFarland to explore what separates successful AI adoption programs from those that stall after initial enthusiasm. Drawing on Learning Tree's AI Adoption Framework, Jonathan will discuss the common challenges organizations face, the organizational capabilities required for sustained adoption, and practical approaches for moving from experimentation to measurable impact. Attendees will gain a clear understanding of the people, process, and leadership factors that drive successful AI adoption without getting lost in product pitches or technology hype.
In this webinar, you will learn:
- Why many AI initiatives struggle to deliver measurable business value despite significant investment
- The difference between reactive and proactive AI adoption approaches
- The four core enablers of successful AI adoption: leadership alignment, real-world use cases, behavior reinforcement, and impact measurement
- How organizations progress from quick wins to workforce capability and long-term organizational transformation
- Practical insights into what leading organizations are doing to scale AI adoption successfully
[Webinar 5393]
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Jonathan Gilbert, Learning Tree Leadership Practice Lead
Jonathan B. Gilbert is the Managing Director of Leadership & Management Practices for Learning Tree International. Jonathan is also the Managing Partner of the partnership between Learning Tree International and Duke Corporate Education, and co-wrote the courses within the Duke CE Advanced Leadership Certificate Program.
Prior to joining Learning Tree, he was the Founding Partner of The Oar Collective, an organization dedicated to giving back to the global leadership development community the wealth of leadership expertise that he and others within the Collective have captured and developed over extensive careers.
Previously, he was Vice President, Product Management for TwentyEighty Strategy Execution, where he led the development, go-to-market and operations of the Adaptive Strategic Execution Program in partnership with Duke Corporate Education.
Jonathan brings over 40 years of experience as an entrepreneur, educator, chief executive officer, construction manager, management consultant, project manager, and engineer. He is an expert in the areas of strategy, adaptive leadership, organization design and behavior, and project and program management.
Jonathan applies his expertise in adaptive leadership, organizational behavior, and strategy to the challenges of enterprise AI adoption. He helps leaders align AI initiatives with business priorities, prepare their workforces for new ways of working, and build the organizational capabilities needed to move from experimentation toward measurable value.
Jen McFarland, Senior Product Manager, Learning Tree International
Jen McFarland is Senior Product Manager of Process & Methodology solutions at Learning Tree International, where she leads the development of products across Agile, Project Management, Product Management, IT Service Management, DevOps, and Change Management. Her work focuses on translating emerging workforce needs into practical learning and adoption solutions that help organizations navigate change and achieve meaningful business outcomes.
She has played a central role in developing Learning Tree’s AI Adoption Framework, which helps organizations move beyond AI experimentation to boost productivity, build workforce capability, reinforce new behaviors, and demonstrate measurable business value using AI-enabled ways of working.
Jen holds a number of credentials, including AI-Empowered SAFe Practice Consultant (SPC), PMP, PMI-CPMAI, Certified Scrum Product Owner (CSPO), and ICAgile Certified Professional (ICP).