Underwriting risk scores that ship with SHAP-based explanations. Claims fraud detection that combines supervised learning on your history with unsupervised anomaly catching. Renewal probability models that tell you which policies to intervene on 60 days ahead. All deployed inside your VPC or on-prem, with IRDAI-aware audit trails.
Most Indian insurers still price policies with rule engines built in 2015. Rules that were tuned once, drift over time, and can't handle the new signals available today (bureau data, transaction patterns, medical history depth, telematics).
A properly-built ML pipeline scores every application in milliseconds, cites the exact features that drove the score, and keeps a full IRDAI-defensible audit log. Your underwriters still make the call on borderline cases. Your straight-through processing handles the 60-70% that are clear-cut, freeing your team for high-value work.
Every new application gets a probability score plus SHAP feature attribution. Straight-through processing on high-confidence cases. Human review on borderline. Consistent pricing across every branch and agent.
60-70% STP rate typicalSupervised learning on historical flagged claims plus unsupervised anomaly detection for new fraud patterns. Score-plus-flag output goes into your investigator queue. Reduces investigation load on clean claims.
65-80% fraud recallPredicts which policies will lapse 60-90 days ahead. Your retention team gets a ranked list, focuses effort on savable customers. Cuts churn on renewal windows meaningfully.
15-25% renewal lift on interventionsWhich agents are likely to hit target, which need coaching, which should be re-onboarded. Uses onboarding-time features plus 90-day activity to predict 12-month producers.
Faster agent activation cyclesPredicts which policyholders are trending toward a complaint or low NPS 30-60 days ahead. Proactive service outreach avoids escalations to IRDAI and social media.
Reduces IRDAI complaint volumeNot strictly predictive ML, but often bundled: OCR plus LLM extraction on claim documents (hospital bills, discharge summaries, FIR PDFs) into structured fields. Speeds up claim intake substantially.
70-80% intake time reduction15-min call. Tell us the line (life, motor, health, specialty), volume, current pricing/claims workflow, and what decision you'd like to score. We come back with a data audit checklist and prototype scope.
Book Free 15-min CallLine of business, decision to score, data availability, IRDAI constraints. Written feasibility doc.
Baseline model on your data. Accuracy report, SHAP explanation samples, false-positive analysis. Your underwriting or claims team reviews.
Feature store, retraining pipeline, IRDAI-aligned audit trail, SHAP explainer, API integration into your PAS or claims system, security review, deployment.
Drift detection, quarterly retraining, IRDAI-audit-log maintenance, bias monitoring, model performance reviews.
Book a 15-min call. Tell us the line, volume, current workflow. We come back with a data-audit checklist plus prototype scope in 48 hours.