Fraud detection without investigation clarity
Signals exist but aren’t routed into a prioritised workflow with explainable alerts.
Key problems
Risk monitoring that’s slow or inconsistent
Portfolio monitoring lacks stable definitions and driver visibility.
Regulatory reporting overhead + manual workflows
Teams spend time compiling evidence instead of improving controls.
GenAI interest, but security and audit concerns
Leaders need controlled assistants with permissions, logging, and evaluation.
What we deliver
Event models + anomaly detection patterns
Rules + statistical/ML signals, alert routing, and investigation-friendly outputs.
Risk intelligence dashboards + monitoring
Portfolio views, driver decomposition, thresholds, and drift monitoring.
Audit-ready KPI layer + lineage
Governed metric definitions, consistent calculations, and evidence-ready reporting.
Secure RAG copilots + controlled agents
Assistants grounded in approved sources with role-based access, logs, and approvals.
Deliverables
Architecture + roadmap + MVP plan (one fraud/risk/compliance stream)
Curated models (transactions/events, customer/account, product, risk attributes)
Dashboards for risk + compliance cadence (alerts, exceptions, evidence)
Evaluation + monitoring approach (accuracy, drift, explainability, audit trail)
Frequently Asked Questions
How can Generative AI be used securely in banking?
Use RAG over approved sources, enforce role-based access, log all interactions, and restrict actions through controlled tools and approvals.
What is real-time fraud anomaly detection?
Detecting unusual patterns quickly using rules + statistical/ML signals, then routing alerts into prioritised investigation workflows.
How do you handle explainability?
We implement evaluation reports, drift monitoring, and documented decision logic so risk teams can review and audit outcomes.
Is cloud storage compliant for BFSI?
It can be when designed with encryption, access controls, audit logging, residency rules, and governance aligned to regulatory obligations.
MVP timeline?
4–8 weeks for one fraud/risk workflow or one compliance reporting stream, depending on access and approvals.