The Challenge
This mid-size motor insurer — serving 80,000+ policyholders across Maharashtra, Karnataka, and Tamil Nadu — was running one of the most manual claims workflows in the industry. Motor claims, the largest category of their book, took 5-7 days on average from submission to settlement.
Every claim followed the same slow path. The policyholder submitted the claim through the app or website. The claims team collected the vehicle RC document (often as a photo or PDF), verified the vehicle against policy records manually, checked the policyholder's identity, validated the claim bank account, and — for claims above a threshold — sent a surveyor for physical inspection. Only after all of this was the claim approved and paid.
The numbers showed the full picture:
- 5-7 days average claim TAT — the industry average was 4-6 days; they were at the wrong end
- Customer NPS in the low teens — well below competitors, driven by claim experience
- 12% gross claims from fraud — inflated estimates, fake repairs, and duplicate claims
- 7.8% payout failure rate — wrong bank account details meant re-issuing payments and reconciling
- 58 claims processing staff — a large team that was still overwhelmed during peak season
The insurer's CEO issued a clear directive: get claims processed in hours, not days. Reduce fraud losses meaningfully. And do it without expanding headcount.
Our competitors were settling claims in 2-3 days. We were at 5-7. That gap was costing us every single renewal cycle. Fixing claim experience wasn't just a compliance issue — it was the single most important commercial priority for the year.
— Chief Operating Officer, Mid-Size Motor Insurer
The Solution
The insurer evaluated four API providers, including their existing claims document automation vendor and two large industry incumbents. They selected API Express for three reasons:
- Unified catalogue — One key for Vehicle RC, KYC, Bank Verification, and Cyber Security — instead of four separate vendors to manage
- Reliability commitment — Formal 99.9% uptime SLA with contractual clarity, critical for claim processing systems
- Compliance documentation — IRDAI-ready audit trails, India data residency, and Aadhaar Act compliance all documented up front
The integration runs four APIs in sequence to fully automate the standard claim workflow:
How the four APIs work together
Vehicle RC Verification validates the vehicle. When a claim is submitted, the insurer runs an RC check against the vehicle number. The API returns owner name, vehicle class, insurance status, and chassis number. If the RC data doesn't match policy records, the claim is flagged for review — instantly.
Verification API (KYC) confirms the policyholder's identity at claim time. Aadhaar OTP verification ensures the person filing the claim is the actual policyholder (or authorised nominee). This is critical for detecting account takeovers and impersonation fraud.
UPI / Bank Verification validates the claim payout account before settlement. Penny drop confirms the account is active, and the beneficiary name matches the policyholder. This eliminates the 7.8% payout failure rate the insurer had been carrying.
Cyber Security Verification scores every claim in real time. Device fingerprinting, historical fraud patterns, IP intelligence, and velocity checks combine into a risk score. Low-risk claims auto-approve. High-risk claims route to manual review. This is what moved fraud from "detect after paying" to "block before paying."
The Implementation
The insurer had a large engineering organisation but multiple legacy systems. The integration was sequenced carefully to avoid disrupting existing workflows:
Total integration time: 5 weeks. Fast for an enterprise with legacy systems — most of the time was spent in compliance review, legacy integration, and staff training, not the actual API work.
The Results
Metrics were tracked over a 6-month period (April–September 2026) against the baseline quarter (January–March 2026).
Claim turnaround: 5-7 days → under 10 minutes
The headline metric. Average claim turnaround time dropped from 5-7 days to under 10 minutes for standard motor claims (approximately 78% of total claim volume). More complex claims — those involving physical inspection, third-party disputes, or total loss — went from 10-15 days to 2-3 days, benefiting from faster data collection and verification.
Fraud losses: -63%
Fraud losses fell by 63%, driven primarily by Cyber Security Verification's real-time scoring. The insurer now blocks suspicious claims at submission instead of detecting them during investigation. Approximately 40% of what would have been fraudulent claims were blocked before any payment was made.
Customer NPS: +42 points
Customer NPS jumped by 42 points, driven almost entirely by the claim experience. Customers who used to wait days for settlement now receive money in minutes. Renewal rates on the motor book improved by 18% year-over-year as claim-experience reviews became a competitive advantage.
Ops cost per claim: -55%
Cost per claim dropped by 55%. The insurer redeployed 38 of its 58 claims staff to higher-value activities: complex case handling, claims investigation for high-value claims, and customer success. The remaining 20 staff focused on exception handling and quality assurance.
The Business Impact
Beyond the four headline metrics, the integration delivered meaningful second-order effects:
- IRDAI audit passed cleanly — The insurer's next IRDAI inspection included a claims handling deep dive. The audit passed with no observations. Complete audit trails from API Express were cited as a strength during the review.
- Claims team morale improved — Redeployed staff reported significantly higher job satisfaction. The work shifted from routine document chasing to meaningful case resolution.
- Broker relationships improved — Faster claims experience improved broker satisfaction scores. The insurer became a preferred partner for two large brokers who had previously routed claim-heavy business elsewhere.
- Fraud investigation efficiency — High-risk claims flagged by the API are now investigated by a smaller, more specialised team. Investigation cost per case dropped by 45% while the fraud catch rate improved.
We didn't just make claims faster. We changed the fundamental economics of our motor book. Faster claims, lower fraud, higher renewals — this was the single highest-ROI project of the year, by a wide margin.
— Chief Operating Officer, Mid-Size Motor Insurer
Compliance & Regulatory Posture
Insurance is heavily regulated, and every element of the integration was designed for IRDAI compliance:
- Complete audit trails — Every verification step logged with timestamp, method used, request ID, and result. Exportable for IRDAI inspection.
- Aadhaar with explicit consent — Policyholder identity verification uses OTP-based Aadhaar with documented user consent.
- VAHAN-sourced vehicle data — Vehicle RC verification queries the national VAHAN database directly, ensuring authoritative data for every claim.
- RBI-recognised bank verification — Penny drop for claim payout accounts follows RBI standards for beneficiary verification.
- India data residency — All data processed within Indian data centres. No cross-border transfer.
- Fraud monitoring documentation — Cyber Security Verification outputs are documented and retained to support AML/CFT compliance and regulatory reporting.
What's Next for the Insurer
With the core claims automation stabilised, the insurer is now focused on three extensions:
- Pre-issuance vehicle verification — Using Vehicle RC Verification at policy issuance to catch mismatches before coverage begins. Currently only done at claim time.
- Renewal automation — Triggering renewal quotes and verification in a single flow, using the same API stack, to reduce friction at renewal time.
- Expansion to health and commercial lines — Applying the same verification and fraud detection patterns to health insurance claims and commercial motor claims, where fraud exposure is even higher.
Every extension uses the same API Express key and the same compliance infrastructure — a significant advantage compared to onboarding new vendors for each line of business.
This case study is based on a real API Express client engagement. Client name is withheld per their agreement. All metrics are verified over the stated time period. Technical details are accurate to the best of our knowledge. If you'd like to discuss a similar integration for your business, our team responds within 4 hours.