Chola MS migrates 60% of business to cloud policy systems

Chola MS migrated 60% of its business to cloud-based BaNCS policy administration systems as its motor technology transformation reached completion, according to its FY27 presentation. The company reported 94% interface-led policy issuance in Q2 FY27, motor-claims turnaround reduced from 22 days to 18 days, and 99.5% policy-data accuracy in its centralized data lake.

How much of Chola MS business is on cloud policy systems?

Chola MS has migrated 60% of its business to cloud-based policy administration systems, or PAS, using BaNCS. Chola MS describes the programme as a move to a modern, scalable architecture, and lists it among transformation capabilities that came online or were under development in FY27. The presentation does not give a completion date or target for migrating the remaining 40%.

The cloud PAS programme sits alongside other operating systems introduced through the FY27 transformation agenda. Chola MS reports that its Salesforce customer relationship management system managed 4.5 million customer interactions, while the data lake contains 18 years of business data. The company reports 99.5% policy-data accuracy in that data lake, linking the policy-system change with a centralized data foundation.

The PAS migration also covers an insurance business with multiple product and servicing requirements rather than only digital policy purchase. Chola MS says its customer app supports policy purchase, renewal and servicing, with more than 1 million downloads and 690,000 active policyholders. Its website, available in three languages, recorded 2.24 million annual visits and serviced more than 7,000 policies digitally.

What did Chola MS complete in motor technology?

Chola MS states that its technology transformation is complete across the motor line of business. Completed core PAS work includes BaNCS for private cars and for all motor business. The completed digital claims and underwriting programmes cover motor own-damage, or OD, for private cars, OD for all motor business, and motor third-party, or TP, business.

The completed programme list also includes two minimum viable product releases, called SuperApp Non-Issuance MVP1 and MVP2, in the digital sales stack. Chola MS separately identifies Xceed as a digital platform for agents and sales teams, providing end-to-end issuance and servicing capabilities. The presentation does not quantify the productivity change associated with Xceed, but identifies improved productivity as its intended outcome.

Motor process measures show a modest increase in digital issuance between comparable quarters. Interface-led policy issuance was 94% in Q2 FY27, up from 93% in Q2 FY26. Chola MS also says motor claims are processed through a modern business process management platform, with turnaround for claim settlement falling by four days, from 22 days to 18 days.

The claims metrics cover both motor-specific use and retail-wide settlement results. More than 90% of motor claims use LVS, or Live Video Streaming, according to Chola MS. Separately, 93% of all retail claims were settled within 90 days. The first figure describes adoption of a motor claims assessment mechanism, while the second measures the settlement timing of retail claims across products.

Which customer services show digital adoption at Chola MS?

Chola MS reports digital adoption across its app, website, partner network and customer-service channels. The Chola MS app has more than 1 million downloads and 690,000 active policyholders, and provides self-service for purchases, renewals and servicing. These figures distinguish total app downloads from currently active policyholders.

Partner connectivity is a separate transaction channel. Chola MS has more than 140 strategic partner integrations and over 450 application programming interface, or API, touchpoints through WSO2, enabling real-time transactions. The presentation does not split the 450-plus touchpoints by product line, partner type or transaction volume.

Chola MS also operates WhatsApp and website bots around the clock, reaching more than 370,000 unique users. Renewals enabled through those channels generated gross written premium, or GWP, of Rs 4.09 crore. This revenue measure is specific to bot-enabled renewals and should not be treated as the premium generated by the broader app, website or partner ecosystem.

Customer-service indicators provide another measure of the operating model. Chola MS reported an overall customer satisfaction score of 86% in H1 FY27 and first-time resolution of 96% for customer interactions in the same half year. It also lists exclusive know-your-customer, or KYC, support and a Senior Citizen Support Desk, showing that dedicated support mechanisms operate alongside digital channels.

How will Chola MS use its centralized data platform?

Chola MS says its centralized data platform is operational and has ingested 18 years of data to act as a single source for applications and analytical models. The platform includes data-ingestion pipelines, storage, curation and transformation protocols, a common data model, and Qlik as the front-end business-intelligence, or BI, tool.

The platform is deployed across development, user-acceptance testing, or UAT, and production environments on Amazon Web Services infrastructure. Chola MS lists Terraform, Kubernetes, EC2, Redshift, S3 and RDS among the underlying tools and services. The presentation does not disclose spending, cost savings or revenue attributable to the cloud data platform.

Chola MS has integrated dashboards for business and technical functions and lists a health-claims fraud analytics model among the platform’s applications. The company also reports 99.5% policy-data accuracy in its data lake. This accuracy figure relates to policy data, rather than an independently stated accuracy rate for fraud detection, renewal analytics or customer-service decisions.

Some planned uses remain unfinished. Chola MS says implementation of a renewal and upsell model is in progress, while automated commission payments are underway. Those items are distinct from the operational platform and the existing health-claims fraud model, so the presentation does not establish their final timing or measurable commercial effect.

Conclusion

Chola MS has paired a 60% migration to cloud-based BaNCS policy systems with completed motor programmes across core policy administration, underwriting, claims and digital sales. The disclosed operating measures include 94% interface-led issuance in Q2 FY27, an 18-day motor-claims turnaround versus 22 days previously, more than 90% LVS adoption in motor claims, and 93% of retail claims settled within 90 days.

The next disclosed items to watch are the renewal and upsell model that remains in implementation and automated commission payments that are underway. Chola MS has established a centralized platform containing 18 years of data and reporting 99.5% policy-data accuracy, but the presentation does not yet quantify outcomes from those two in-progress applications.