Smartflow
AI in regulated banking operations. A document field becomes useful when its evidence, review and operational meaning stay connected.
An AI product has to fit the work around it.
These cases follow the decisions behind Smartflow, Splore and Finaxar, and the earlier data and banking work that shaped them.
AI in regulated banking operations. A document field becomes useful when its evidence, review and operational meaning stay connected.
From semantic search to source-cited research. Retrieval became an institutional product when the answer carried evidence a reader could inspect.
Regulated lending across four markets. Merchant data could support instant credit decisions. Larger lines brought the work back to documents and review.
Enterprise data and engineering leadership. The data preparation, inference and retrieval around a billion-node graph mattered as much as the model.
From fund documents to portfolios. Fund documents and structured data became personalised recommendations and model portfolios on web and mobile.
Risk and technology programmes. Bank risk and strategy work made the evidence behind a decision as important as the decision itself.