WHITEPAPER
MiCARGPT: Build Your Own Regulatory AI
A delivery blueprint for grounded, governed GPTs in banking
INTRODUCTION
Generative AI has reached the compliance function faster than the controls to govern it. A general-purpose chatbot answers a question about a new regulation with the same fluent confidence whether it's right or inventing the answer.
MiCARGPT is FiSer's answer: a grounded, governed AI assistant built for MiCAR, and tested head-to-head against a generic model. The experience behind it offers a practical blueprint for how banks can build regulatory AI they — and their supervisors — can actually trust.
WHAT YOU WILL LEARN
This paper outlines:
- Why generic AI models fail the compliance test, and what the research on legal AI hallucination shows
- How MiCARGPT is built: curate, retrieve, ground — not generate
- The build decision between a Custom GPT and an enterprise RAG architecture
- The seven model and seven platform capabilities a bank should test for before going live
- How MiCARGPT performed against a generic model, side by side
- How to configure a regulatory AI against the EU AI Act and DORA from day one
LETS GET IN TOUCH
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