Industries

Financial Services

AI under supervisory scrutiny: explainability, model risk management and auditable decisions.

Financial Services

Where AI pays

Credit and risk decisioning where every output has to be explainable to a supervisor.
Client onboarding and KYC review, where the cost is document handling rather than judgement.
Surveillance and financial crime detection across channels that currently sit in separate systems.
Internal research assistance over filings, policy and market data that analysts already pay to access.

Financial Services

Extract and reconcile terms across loan documentation, flagging only the exceptions for a human.
Draft first-pass credit memos from internal data, with every figure traceable to its source.
Triage transaction monitoring alerts so investigators start with the ones most likely to be real.
Answer policy and procedure questions for front-line staff, citing the controlling document.

Financial Services

Model risk management: every model in scope needs documentation, validation and periodic review.
Explainability is not optional. A decision that affects a customer must be reconstructable.
Data residency and segregation between entities and jurisdictions.
DORA and the EU AI Act arrive on top of existing supervisory expectations, not instead of them.