Building an AI-native ecosystem that transforms fragmented financial data into real-time decisioning intelligence.
Approval Uplift
Fraud Reduction
Layered intelligence processing unified credit mesh data from ingestion to disbursement.
Multi-channel data via Web, App, WhatsApp & Partner APIs
Real-time Risk scoring, Fraud GNNs & Hyper-personalization
Unified Feature Store, Vector DBs & Real-time Data Lake
Lead intent scoring and hyper-personalized recommendations to drive conversion ecosystem.
MOD.GRO.01
Scientific ranking of leads using XGBoost and Survival Analysis to predict 'Time-to-Convert' urgency.
Routes high-intent prospects to top agents instantly via real-time priority queues.
MOD.GRO.02
Next Best Action (NBA) engine using Contextual Bandits to optimize incentives and bundles per user context.
Hyper-personalized JOURNEY MOMENTS based on spend patterns and financial goals.
MOD.GRO.03
Two-Stage Learning-to-Rank (LTR) model balancing approval probability and revenue potential.
Minimizes 'Regret Rate' by steering users toward products they are most likely to get.
Deep-quantification of credit creditworthiness and real-time fraud mitigation.
MOD.RSK.03
PD/LGD/EAD quantification powered by ML models on Bureau and Account Aggregator data.
Internal scoring enables 'Pre-Approved' tags with high confidence, reducing lender rejection.
MOD.OCR.02
Automated KYC & Income extraction using LayoutLMv3 and Donut (OCR-free) models.
Achieves 82% Straight-Through Processing (STP) for digital-first applications.
MOD.SEC.03
Real-time prevention of identity theft and data tampering via GNN Link Analysis.
Cross-references device metadata, social graph, and document metadata in milliseconds.
Reducing support containment load via RAG-powered assistants and multilingual NLU.
72%
Containment Rate
-40%
Support Cost
LLM + RAG System
Retrieval Augmented Generation grounding bot answers in verified policy and lender data.
Multilingual NLU
Real-time translation and intent understanding for 12+ Indic languages.
Intelligent Routing
Seamless hand-off to human agents with full context for complex escalations.
Scalable model serving via Vertex AI / SageMaker for low-latency inference.
Global feature synchronization for point-in-time training and inference.
Drift, Bias, and LLM Tone monitoring via custom telemetry pipelines.
Metadata encryption and PII automated scrubbing for regulatory compliance.
Platform Risk
Risk of LLM advising incorrect financial steps or misquoting policies.
Mitigation Control
Strict RAG grounding, System Prompt Hardening & Tool verification.
Platform Risk
Unintended disparate impact or steering users toward suboptimal products.
Mitigation Control
Weekly fairness audits (AIR/DID metrics) & Gender/Pincode exclusion.
Platform Risk
Sensitive data leakage in LLM context windows or logs.
Mitigation Control
Automated Redaction Engine & Ephemeral storage for unstructured logs.
Phased AI transformation strategy across the 2026 fiscal year.
MLOps Infrastructure & Feature Store
Extraction Engine & Lead Scoring v1
Uplift Models & Dynamic Pricing
Fraud GNNs & Vernacular Advisor
End-to-End AI-Managed Advisory