Case Study 04 · Bringing conversational AI into an enterprise banking product
When AI isn’t a feature — it’s part of the product.
Conversational UX patterns for consumer banking, designed before “ChatGPT for banking” was mainstream — part of NCR's $100M+ enterprise financial-services engagement.
Banking customers shouldn’t have to understand the bank’s architecture.
“Show me my transactions.”
“Help me with my card.”
“Pay someone.”
“What’s happening with my account?”
The opportunity was to make those intents accessible through a conversational interface — without separating the AI from the underlying banking experience.
Make conversation a first-class banking interaction.
Intent to action, in one conversational loop.
Ask Kai — conversational banking as a first-class surface.
One conversational model, deployed across brands.
Product decisions had to balance seven things at once.
AI products succeed when intelligence is integrated into the customer’s actual workflow — not when a chatbot is simply added to the interface. The same principle applies to industrial, operational, and enterprise AI: the value comes from helping people make better decisions and complete meaningful work.