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Outline

In Part 2 of this Strategy Roundtable, the OMVP panel moves from diagnosis to action, focusing on what it actually takes to make AI adoption sustainable inside organisations.

Building on the challenges outlined in Part 1, the panel, Dom Graveson, Lori McDonald, Janaka Fernando, Kashif Hasan & Paul de Metter, dives into practical considerations such as capability gaps, organisational incentives, and the risks of treating AI as a one-off initiative rather than an ongoing operating model shift. The panel reflects on why many teams underestimate the effort required to support adoption over time, and how short-term thinking can undermine long-term value.

Key themes include the need for continuous learning, clearer ownership models, and a more honest approach to readiness and maturity. The conversation also highlights why successful AI adoption depends less on tools and more on how teams experiment, measure outcomes, and adapt ways of working as understanding evolves.

Together, Parts 1 and 2 present a grounded, experience-led view of AI adoption, one that goes beyond trends and technology to address the human and organisational realities shaping success.

This episode is part of the Optimizely Strategy Roundtable, an OMVP-led content series focused on the strategic, organizational, and changing dimensions of digital transformation.

If you haven’t yet watched Part 1, we recommend starting there for full context: Optimizely Strategy Roundtable – EP 2 | Part 1: AI Adoption in Practice

Have thoughts, reactions, or ideas for future topics? We’d love to continue the conversation. Contact the Optimizely Community Team at dev.marketing@optimizely.com