In full
For a small fintech the temptation is to bolt on a chatbot and call it AI. The quieter work is the governance, and it is what holds up under scrutiny.
AI integration is rarely about the model. It is about where your data goes, what gets logged, and what you can prove when someone asks.
AI for Operations · 7 min read · May 2026
The short version
No. The work that matters is deciding which data may touch a model, what is retained, and what is deleted on request, all evidenced in code.
Design the compliance boundary before the integration: a data-flow diagram per touchpoint and a POPIA/FCA assessment for each.
Integration is invisible to the customer and obvious to the auditor. The governance around the model is the real engineering.
In full
For a small fintech the temptation is to bolt on a chatbot and call it AI. The quieter work is the governance, and it is what holds up under scrutiny.
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