KYC document processing
AI extraction from identity documents, financial statements, beneficial ownership disclosures. Compliance analysts review and decide; the AI handles the structuring.
Sector · Banking & FS
Regulator-aware engineering for banking and financial services.
Intellectual’s banking practice delivers AI engineering, compliance automation, and integration for retail, commercial, and central banking workloads. The regulator posture — Federal Reserve, OCC, FCA, ECB, MAS, RBI, and others — shapes every architectural choice we make for these clients.
BANKING CAPABILITIES
What we deliver for banks.
Six capability areas where banking and financial services programmes concentrate.
AML and pharmacovigilance-style monitoring
AI augmentation for case investigation, SAR narrative drafting, pattern detection. Investigator productivity rises; decisions remain human.
Adverse media screening
Continuous monitoring of news, social, regulatory sources for adverse mentions. AI surfaces candidates with severity assessment; analysts review.
Core systems integration
Connecting core banking, payment rails, regulatory reporting, partner APIs. Governed, observable, audit-ready integration.
Model risk management
Inventory, classification, validation, monitoring, governance — applying existing model risk frameworks (SR 11-7 and equivalents) to AI/ML models.
Customer service augmentation
Agent-assist over knowledge bases, conversational interfaces, multilingual support. Human-centric, AI-augmented.
DELIVERY POSTURE
How we work with banks.
Banking is heavily regulated and risk-aware. Our delivery posture matches.
- · Existing model risk management frameworks applied to AI/ML models, not a parallel framework.
- · Detailed audit trails sufficient for regulator examination and customer dispute response.
- · Human-in-the-loop on consequential decisions — credit, fraud, customer-facing actions.
- · Bias and fairness testing for models affecting customer outcomes.
- · Vendor governance for vendor AI components with audit evidence requirements.
- · Engagement with internal model risk and compliance partners early in programmes.