Financial services systems that detect fraud and automate compliance
Fraud detection and KYC/AML automation, scoped to your operations, with the audit trail your regulators expect.
Where financial services teams lose time
Fraud losses eating into transaction volume. Manual review can't scale with transaction velocity. False positives block legitimate customers. False negatives cost you in fraud losses and regulatory fines.
Compliance overhead consuming a growing share of operating budget. KYC/AML reviews taking hours per case. Regulatory requirements constantly changing. Auditor findings triggering remediation projects. The compliance burden keeps growing while your team stays the same size.
Manual operations limiting your ability to scale. Loan underwriting takes days. Customer onboarding requires repeated manual touches. Back-office operations that should be automated are still spreadsheet-based. Firms with automated onboarding and underwriting can process applications faster and serve more customers.
What we build for financial services
We start where AI is likely to pay back soonest, which in financial services usually means fraud detection, compliance automation, or underwriting
Real-time fraud detection
Real-time transaction monitoring built to catch patterns humans miss. Designed to reduce false positives while catching more fraud.
Automated KYC/AML compliance
AI prepares KYC reviews for analyst sign-off. Automatic adverse media screening and sanctions checks. The aim is lower review cost without giving up accuracy.
Automated underwriting
Automated credit decisioning for qualified applications. Alternative data analysis for thin-file customers. The aim is faster decisions, with every decision logged for review.
Risk management automation
Predictive models for credit risk, market risk, and operational risk. Real-time portfolio monitoring and stress testing. Regulatory capital planning and scenario analysis.
We don't publish outcome figures here. Your numbers depend on your data and your processes. We size them during scoping.
Why financial services automation projects stall
And how we design around them, so delivery stays close to 90 days
Regulatory stall: Projects wait for months in legal review. Models need to be "explainable" but nobody defines what that means. We treat model documentation as a deliverable from day one, written with your examiners (OCC, FDIC, SEC, or state) in mind, so it doesn't hold up delivery.
Legacy system wiring: Your core banking system is decades old. It doesn't have APIs. Mainframe batch processing at midnight. We plan the build around what you have, from mainframe batch jobs to modern cloud systems. We find the data and make it work.
Model risk management left to the end: Validation and documentation start after the model is built, so nothing ships for months. We build model risk management into the process from day one. Validation happens parallel to development, not after.
Vendor review delays: IT security wants exhaustive questionnaires. Procurement wants three competing bids. Compliance wants SOC 2 Type II and ISO 27001. Legal wants broad indemnification. Months later, you're still in vendor review. We plan for vendor review from the first call, so it runs alongside scoping instead of after it.
Ready to ship AI your compliance team accepts?
Book a scoping call and we'll map where AI fits in fraud detection and underwriting review, and where it doesn't.
Book a scoping call