AI for Finance That Satisfies Regulators
Banks, insurers, and asset managers operate under intense regulatory scrutiny. We build AI systems with model documentation, validation reports, and audit trails that satisfy DNB, AFM, ECB, and EU AI Act requirements from day one.
AI that your risk and compliance teams can approve
The biggest blocker for AI in financial services isn't technology — it's model governance. We build the documentation, validation evidence, and explainability outputs that internal risk teams and external regulators require.
We've worked alongside compliance, legal, and internal audit teams throughout delivery — so our models arrive with the validation pack largely complete.
AI use cases in financial services
Fraud Detection & AML
Real-time transaction monitoring models that identify suspicious patterns across thousands of transactions per second — with explainable flagging for compliance teams.
Credit Risk Scoring
ML-based credit models that improve accuracy over scorecard methods while meeting DNB explainability requirements for model validation.
Regulatory Reporting Automation
AI-assisted extraction, aggregation, and quality-checking of data for EBA, DNB, and DORA reporting — reducing human effort and error rates.
Customer Lifetime Value & Churn
Predictive models that identify high-value customers at risk of churning — enabling targeted retention before the relationship deteriorates.
Contract Extraction & Review
LLM-powered review of financial contracts, identifying key clauses, obligations, and risks — reducing legal review time by up to 70%.
Portfolio Analytics
AI-enhanced portfolio monitoring with anomaly detection, scenario modelling, and automated commentary for portfolio managers.
Let's discuss your AI initiative
Tell us your use case and regulatory constraints. We'll outline what's feasible, what documentation you'll need, and what a realistic timeline looks like.
Book a Free Discovery Call