AI Governance for Financial Services

From AI governance discovery to regulatory operations.

RegArq shows where AI is used, what the EU AI Act brings into scope, and how that work connects to DORA, GDPR, and industry regulations.

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Discovery Agent · Coming soon
Discovery Agent
Sample output
AI SystemScope

Credit scoring model

High-risk

EU AI ActGDPR

Fraud detection engine

High-risk

EU AI ActDORA

Customer service AI

Limited-risk

EU AI Act

AML screening system

High-risk

EU AI ActDORAGDPR

Ownership gaps

0

Evidence gaps

0

In scope

0 of 5

The problem

AI governance breaks down in practice.

AI is already in use.
Ownership is spread across teams.
Regulatory obligations overlap.
Evidence is hard to pull together.

Most teams are still coordinating this through documents, spreadsheets, shared drives, messaging, and email.

Discovery Agent

What the discovery agent surfaces.

Share context about your AI systems and regulatory position. The agent maps what is in scope, what is missing, and what needs attention.

AI systems in scope

Which AI systems are in use and what obligations they carry under the EU AI Act.

Ownership across teams

Who is accountable for each system, and where accountability is unclear or missing.

Evidence gaps

What documentation and controls exist, and what is still absent or hard to locate.

Next actions

A clear prioritised starting point. Not a spreadsheet of everything at once.

How it works

How it works.

01

Share your context

Describe where AI is in use, which regulations apply, and where governance feels unclear.

02

We map AI systems and likely exposure

The agent identifies what is in scope under the EU AI Act, DORA, and GDPR. It surfaces where ownership and evidence are missing.

03

You get a clear starting point

A prioritised view of what to address first, with next actions attached.

Where this leads

Building toward AI-native regulatory operations.

The discovery agent is the first step. From there, the system evolves into continuous visibility, ownership tracking, and evidence maintenance.

The discovery agent

  • Understand what AI is in scope
  • Identify what is missing
  • Create a clear starting point

What follows

  • Ongoing visibility
  • Ownership tracking
  • Evidence maintenance
  • Proactive regulatory updates
Where it fits

Financial services firms where:

AI use is expanding across the business.
DORA and GDPR work is still largely manual.
Ownership of AI systems is unclear across teams.
Early access

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Share where AI governance feels unclear or difficult to manage. We review every request and reply by email.

RegArq

AI governance for financial services firms. Starting with the Discovery Agent: visibility into AI usage, ownership, and evidence gaps.

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