Structuring AI at Scale: Roundtable Report
Written by Laura Walker, Head of Content & Community, FinTech-Tables
AI at scale is a coordination challenge, not a modelling one. This Forum brought together data, product, and governance leaders to explore what happens when organisations try to move from isolated success to systems that carry AI across teams, regions, and regulatory contexts.
The conversation opened with two contrasting real-world perspectives: one showing how clarity of mandate and shared language create the foundations for global experimentation, the other revealing what breaks when strong models meet weak structures. Together, they set the tone for a discussion centred on ownership, fluency, and the operational weight that scaling introduces.
Across the group, a consistent pattern emerged. Progress depends on organisations treating AI as a cross-functional responsibility, rather than a technical programme. Attendees reflected on competing priorities, uneven risk understanding, and the need for translation roles that can bridge business, policy, and engineering.
The headline message? Scaling AI isn’t about pushing harder on the technology. It’s about the systems around it, governance that adapts, teams that coordinate, and structures that keep momentum when complexity rises.
Essential reading for anyone building AI that is expected to survive context, scale, and organisational reality.
Download the full report below
