FINANCIAL SERVICES

AI Compliance for Financial Services

Credit scoring, fraud detection, customer categorisation — your AI systems are likely high-risk under the EU AI Act

Compliance deadline: 2 August 2026

Financial Services AI: High-Risk Under the EU AI Act

AI systems that assess creditworthiness are explicitly classified as high-risk. Requires transparency, human oversight, and risk management.

Automated fraud detection systems must meet strict accuracy, bias, and explainability requirements.

AI-driven customer segmentation and risk profiling falls under high-risk provisions when affecting access to services.

Automated trading systems require robust governance, testing, and human oversight protocols.

AI-powered know-your-customer and anti-money laundering systems must be auditable and explainable.

The FCA has signalled increasing scrutiny of AI use in financial services.

Their AI and Machine Learning survey found significant gaps in firms' AI governance frameworks.

Compliance with the EU AI Act aligns with and strengthens FCA expectations on model risk management.

Javan Green brings hands-on experience building AI systems in regulated financial services:

MAB (Mortgage Advice Bureau)

Built ML systems for mortgage processing and customer matching in a highly regulated environment.

MQube

Developed AI-powered mortgage decisioning systems with full compliance documentation.

Circle & Poloniex

Built ML fraud detection systems achieving 40% accuracy improvement and 25% reduction in false positives.

Full assessment of your AI systems against EU AI Act requirements. Identify gaps, classify risk levels, and get a clear remediation roadmap.

End-to-end implementation of compliance frameworks for your high-risk AI systems. Documentation, testing, monitoring, and governance.

Continuous compliance monitoring, regulatory updates, and expert support to keep your AI systems aligned as regulations evolve.

Book a Compliance Consultation