Sophia Laurent
May 12, 2026 · 8 min read
Most banks have run dozens of AI pilots. Very few have moved them into production at scale. The bottleneck is rarely the model — it is the operating model.
Across our work with global banks we see a consistent pattern: pilots win on technical merit but lose on governance, MLOps maturity, and change management.
The institutions that succeed in scaling AI invest in three foundations: shared data products, a hardened MLOps platform, and an empowered domain operating model that ties AI ownership to P&L.
