
Fraud outpaces rules
Rules miss new fraud and flag good customers, costing losses and trust.

Financial services and banking
Faster decisions, fewer false alarms. Systems built to pass model risk review, not just a demo day.
Book a scoping callThe pressure
01
Attack patterns change weekly. Static rules miss new fraud and block good customers.
02
Onboarding checks and monitoring absorb whole teams of analysts.
03
A decision that takes days now loses the customer.



Use cases
From fraud detection to adviser copilots, we build AI systems that speed up decisions, cut false alarms and stand up to model risk review.
Book a scoping call
Rules miss new fraud and flag good customers, costing losses and trust.

Models that score each transaction in real time, adapting as attack patterns change.

Track fraud losses and false positive rate to measure detection quality.
CAPABILITIES USED
We combine predictive models, document intelligence, copilots and knowledge search to help banks decide faster and stay compliant.
01
Score transactions, applications and accounts with explainable, data-driven models.
02
Read IDs, statements and contracts to speed up onboarding and compliance checks.
03
Assemble files, summarise cases and draft next steps for advisers and investigators.
04
Turn products, policies and client files into cited, searchable answers.
01
Score transactions, applications and accounts with explainable, data-driven models.
02
Read IDs, statements and contracts to speed up onboarding and compliance checks.
03
Assemble files, summarise cases and draft next steps for advisers and investigators.
04
Turn products, policies and client files into cited, searchable answers.

AI Strategy
We design for anti-money-laundering and know-your-customer rules, model risk management guidance such as SR 11-7, fair lending law, PCI DSS for card data, and privacy law such as GDPR.