Banks, MFIs, fintech & insurance
Decisions at volume, with the audit trail regulators expect.
Financial services runs on repeated decisions under uncertainty, which is exactly what models are for. The constraint is never capability, it is explainability. We build for the model risk review from day one.
What we usually find
The cost lines that keep showing up
Fraud rules that fire on yesterday's patterns and drown analysts in false positives
Creditworthy thin-file applicants rejected because the scorecard has nothing to read
KYC packets reviewed page by page by hand
AML alert queues triaged in arrival order rather than by risk
Deployments
6 things we know how to ship here
What the audit usually finds first: fraud false-positive rate: static rules generating heavy analyst load (high saving); kyc review: fully manual, page by page (high saving); aml queue order, first-in-first-out rather than risk-ranked (medium saving).
Real-time fraud detection
Anomaly detectionScore transactions on behavioural sequence, not static rules, and cut false positives while catching more genuine fraud.
Fewer false positives per caught case
Alternative-data credit scoring
Explainable MLExtend lending to thin-file borrowers using cash-flow and transaction behaviour, with reason codes on every decision.
Addressable lending base widens
KYC & onboarding document AI
Document AIRead IDs and proofs of address, verify liveness, cross-check against the application, and route only exceptions to humans.
Onboarding in minutes, not days
AML alert triage
Risk scoringRank alerts by genuine risk and attach the evidence bundle, so investigators start with the strongest case.
Investigator hours redirected to real risk
Collections prioritisation
Predictive MLPredict recovery probability and best contact channel, then work the book in the order that actually recovers money.
Higher recovery per collector hour
Statement reconciliation
Document AIMatch statements, invoices and ledgers automatically and surface only the genuine breaks.
Month-end close compressed
Explainable-by-default models · Full decision audit log · On-prem or private cloud · Core banking connectors
Proof
What we have shipped in finance & banking
Projects tagged with this sector, plus anything pinned to it in the admin.
Other playbooks
Sectors we also work in
Operating somewhere else? The audit looks at workflows, data and cost, not at your industry code. If we don't think we can help, the first call is where we'll say so.