Individual AI gains don't automatically become capabilities your organization can retain and scale. Join Martin Adams and Luke Crickmore to explore how marketing leaders can turn scattered AI practices into repeatable workflows, strengthen governance, and make a stronger case for AI investment in 2027.
Featuring Martin Adams, co-founder of Metaphysic.ai (TIME100 Most Influential Company), and Luke Crickmore, Head of Innovation at Algomarketing.
+ 40 other enterprise marketing teams
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Why individual AI gains don't automatically translate into organizational value.
How to retain and scale AI knowledge beyond individual employees.
What leadership needs to see to support AI investment in 2027.
How to balance AI speed with quality control and governance.
A one-page framework to assess where your team's AI expertise sits, what the organization can retain, and what needs to become repeatable. Use it to guide AI priorities and investment discussions for 2027.
A year in, most marketing functions can point to individuals who have become genuinely capable with AI, and to very little the organization owns. The proficiency sits with people rather than with the company, and it leaves when they do.
Budget season is when that question gets asked with money attached, which is why this is a November conversation and not a January one.
Two decades founding, scaling and exiting mission-driven ethical AI businesses, including Codec.ai and most recently Metaphysic.ai, named one of TIME's 100 Most Influential Companies globally and since acquired by DNEG.
Covering: where checking and governance belong at AI speed, for a team already at capacity.
Heads innovation at Algomarketing, after a decade building marketing technology from automation specialist through to technical director.
Covering: why individual proficiency hasn't become organizational capability, and what to build instead.
For CMOs, VPs and Heads of Marketing, Marketing Operations leaders, and AI Transformation leaders working to turn individual AI adoption into repeatable organizational results. Especially relevant for teams already using AI but still struggling to scale or demonstrate business value.
Thursday 19 November 2026 · 10:00 AM ET / 7:00 AM PT / 3:00 PM GMT / 4:00 PM CET
30 minutes including live Q&A · free to attend
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