---
title: "MiCARGPT: How We Built a Regulatory AI Banks Can Actually Trust"
description: "MiCARGPT: how FiSer built a grounded AI banks can trust for regulatory compliance — tested against ChatGPT, configured for the EU AI Act and DORA."
image: https://www.fiser.consulting/hubfs/4.png
---

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# MiCARGPT: How We Built a Regulatory AI Banks Can Actually Trust

[By \- Dirk,](https://www.fiser.consulting/blog/author/dirk)  Jul 23, 2026

![ Featured Image](https://www.fiser.consulting/hs-fs/hubfs/4.png?width=1280&height=700&name=4.png)

Generative AI has reached the compliance function faster than the controls needed to govern it. A week of reading a new regulation can now be compressed into a single question to a chatbot. The promise is real — but so is the risk, and it's the part most often overlooked.

A general-purpose AI model answers a question about a new regulation with the same fluent confidence whether it's right or simply inventing the answer. For a bank, that's not a minor inconvenience. It's a liability.

This is the problem MiCARGPT was built to solve.

 

[Download the Whitepaper](https://www.fiser.consulting/whitepaper-8-micargpt)

## The hallucination problem is bigger than most teams realise

Independent research backs this up. Stanford researchers found general-purpose AI models hallucinating on between 58% and 88% of specific legal queries. Even purpose-built legal AI tools — the ones marketed as hallucination-free — still got it wrong 17% to 33% of the time.

The consequences aren't hypothetical. In the well-known U.S. case *Mata v. Avianca*, two lawyers filed a court brief citing six cases that ChatGPT had invented outright, complete with fabricated quotations. When asked to confirm the cases were real, the model said yes. Their firm was fined $5,000.

For a bank operating under the EU AI Act and DORA, that kind of failure isn't just embarrassing — it's a regulatory finding waiting to happen.

 

 

## MiCARGPT: grounding, not generation

The instinct is to solve this with a bigger, smarter model. The more effective fix is to change what the model is allowed to do.

MiCARGPT doesn't answer from general training — it answers from a controlled, curated library of primary sources, and it shows its working. It runs a disciplined three-step loop: **curate** a vetted source library, **retrieve** the exact passage that answers the question, then **ground** the answer in that retrieved evidence — with the source attached.

Tested head-to-head against a general ChatGPT baseline on identical questions about the EU's Markets in Crypto-Assets Regulation (MiCAR), the difference was stark. MiCARGPT mapped the exact transitional deadline to 1 July 2026; the generic model offered a vague "up to 18 months." MiCARGPT named the full set of regulatory exclusions; the generic model missed the ones that actually cause firms to be misclassified.

 

 

## What it takes to build one properly

Building a regulatory AI assistant a supervisor would actually sign off on isn't just a prompt-engineering exercise. It requires:

- A genuine build decision between a lightweight Custom GPT and a fully owned enterprise RAG (retrieval-augmented generation) architecture
- Testing against seven core model capabilities — from grounded retrieval to audit logging
- Testing the wider platform against seven further capabilities across governance and adoption
- Configuration that answers directly to the EU AI Act and DORA, not just general best practice

## Read the full blueprint

Our new whitepaper, *MiCARGPT: Build Your Own Regulatory AI*, sets out the complete delivery blueprint — the architecture decision, the seven capabilities to test for, the full MiCARGPT vs. ChatGPT comparison, and how to configure for regulatory compliance from the first document.

**[Download the MiCARGPT whitepaper](https://www.fiser.consulting/hubfs/Whitepapers/2026/Whitepaper%20MiCARGPT%20Build%20Your%20Own%20Regulatory%20AI.pdf)** to get the full picture, or **[book a meeting with one of our experts](https://calendly.com/d-worm-fiser/30min)** to talk through how this applies to your organisation.

[Download The Whitepaper Now](https://www.fiser.consulting/whitepaper-8-micargpt)

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