AI Governance for Regulated Financial Firms
An AI use case can engage several control frameworks at the same time. The EU AI Act may regulate the system or the organisation’s role. GDPR may apply to personal data and automated decision-making. DORA may be relevant to ICT risk and third-party dependencies. Sector conduct rules may affect communications, suitability, credit or customer outcomes.
Published 2026-09-09 | Updated 2026-09-09 | GoalTech Ltd
Financial firms face overlapping obligations
A practical governance model
The framework should distinguish low-risk productivity uses from systems that influence regulated decisions or customer treatment.
- An inventory covering approved, pilot and staff-adopted AI tools.
- A risk classification and approval process proportionate to the use case.
- Named business ownership and independent challenge.
- Data, privacy, security and third-party assessments.
- Human oversight and escalation for decisions affecting customers.
- Testing for performance, bias, explainability and foreseeable misuse where relevant.
- Ongoing monitoring, incident handling, change control and retirement.
GoalTech consulting support
GoalTech can help establish the inventory, governance policy, assessment templates, committee reporting and implementation roadmap. The engagement can coordinate input from data protection, cybersecurity, compliance, legal and business owners. The aim is to give management a clear basis for deciding which AI uses to permit and under what controls.
Discuss an AI governance framework for your firm with GoalTech.