Financial services are document-heavy, regulation-heavy, and risk-heavy. Manual processes here are not just slow — they're audit liabilities. AI changes the cost of compliance and the speed of customer journeys, without compromising governance.
KYC/AML reviews taking days, frustrating customers
Loan origination paperwork — manual gathering and verification
Fraud detection rules brittle and false-positive heavy
Onboarding drop-off because of multi-step forms
Regulatory reporting (Basel, AnaCredit, COREP) generated manually
ID verification, sanctions screening, PEP checks, adverse-media screening — all in minutes. Edge cases routed to compliance officer with structured context.
Pull bank statements, parse them, compute affordability, run scoring model, generate offer document. From application to offer in hours, not days.
ML models flag anomalous transactions in real time. Lower false-positive rate than rule-based systems = fewer customer service complaints.
Conversational onboarding (web/mobile) that adapts to data already collected. Drop-off rate cut significantly.
Pull data from core banking systems, generate Basel/AnaCredit/COREP submissions, validate against schema, ready for compliance review.
Extract key terms from loan docs, surface risks (covenants, change-of-control, MAC clauses), generate executive summary.
Always custom in financial services. Compliance requirements, integration with core banking, and the audit trail demands rule out off-the-shelf SaaS for anything beyond the simplest use cases.
EU-hosted infrastructure (Hetzner, OVH, AWS Frankfurt) by default for European clients. On-premise inference for highly sensitive data. No PII ever sent to consumer LLM APIs.
We design with these requirements as first-class constraints. Audit logs, consent management, data minimization, deletion workflows — built in, not bolted on.
AI scores and recommends. The final credit decision is made by a human with regulatory accountability. Some jurisdictions require human-in-the-loop by law (EU AI Act for high-risk decisions).
8-16 weeks for a focused implementation (one customer journey). Full platform rollout, 6-12 months including compliance review and gradual rollout.
Models are continuously monitored for drift, false-positive/negative rates, and bias. Threshold tuning, manual review queues, and rollback capability are part of the platform.
30 minutes, no pitch — we’ll tell you honestly if it’s worth automating.
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