SBI Life and Datamatics harness Agentic AI for underwriting
SBI Life Insurance partners with Datamatics to deploy Agentic AI, aiming to redefine underwriting and boost risk assessment accuracy in India.

Lead paragraph
SBI Life Insurance Company Ltd announced a strategic partnership with technology firm Datamatics to integrate Agentic AI into its underwriting workflow. The collaboration, disclosed in a joint press release, targets a more intelligent, future‑ready risk assessment process for the insurer’s life‑insurance portfolio. By leveraging Agentic AI—an advanced form of artificial intelligence that can make autonomous decisions within defined parameters—SBI Life hopes to accelerate policy issuance, reduce manual errors, and enhance the precision of risk scoring. The initiative aligns with the company’s broader digital transformation agenda, which emphasizes data‑driven decision‑making and customer‑centric service delivery. The partnership was formalised in early 2024, with both parties committing resources to develop, test, and roll out the solution across SBI Life’s underwriting units.
What happened
The announcement details a joint effort to embed Agentic AI models into SBI Life’s underwriting engine. Datamatics, known for its automation and AI capabilities, will supply the underlying technology stack, including data ingestion pipelines, model training infrastructure, and governance frameworks. The AI system is designed to evaluate applicant data—such as medical history, lifestyle factors, and financial information—and generate risk scores with minimal human intervention. According to the press release, the solution will operate alongside existing actuarial tools, providing a second layer of insight that can flag anomalies, suggest optimal coverage limits, and recommend pricing adjustments. A pilot phase is slated to begin later this quarter, focusing on a subset of new life‑policy applications before a full‑scale launch.
Why it matters
Introducing Agentic AI into underwriting could reshape how life insurers assess risk in India’s rapidly expanding market. Traditional underwriting relies heavily on manual review and static tables, processes that can be time‑consuming and prone to inconsistencies. An autonomous AI layer promises faster turnaround times, potentially reducing the average policy issuance period from weeks to days. Moreover, the technology’s ability to detect subtle patterns in large data sets may improve pricing accuracy, helping SBI Life price policies more competitively while maintaining solvency. From a regulatory perspective, the move signals confidence that AI can meet the stringent standards set by the Insurance Regulatory and Development Authority of India (IRDAI), provided that transparency and explainability mechanisms are embedded. For customers, the expected outcome is a smoother application experience and more personalized coverage options.
The bigger picture
SBI Life’s initiative reflects a broader trend of AI adoption across the Indian insurance sector. Major players such as ICICI Prudential and HDFC Life have already piloted machine‑learning models for claim triage and fraud detection. The industry is also witnessing a surge in partnerships with tech firms to accelerate digital capabilities, driven by the government’s push for a “Digital India” economy. According to market analyses, the Indian life‑insurance market is projected to grow at a compound annual growth rate of around 12 % over the next five years, creating pressure on insurers to improve operational efficiency. Agentic AI, with its capacity for autonomous decision‑making within set boundaries, represents the next evolutionary step beyond rule‑based automation. While global insurers have begun experimenting with similar technologies, SBI Life’s collaboration marks one of the first large‑scale deployments of Agentic AI in the country’s life‑insurance underwriting.
What's next
The partnership outlines a phased rollout, beginning with a controlled pilot that will process a limited volume of applications. Success metrics include reduction in underwriting cycle time, improvement in risk‑score accuracy, and compliance with IRDAI guidelines on AI usage. Should the pilot meet its targets, Datamatics and SBI Life plan to expand the AI system to cover all new life‑policy submissions and eventually integrate it with renewal and claim‑processing modules. Industry observers will watch for how the insurer handles data privacy, model bias, and auditability—areas that regulators are scrutinising closely. In the longer term, the collaboration could pave the way for more sophisticated AI‑driven products, such as dynamic pricing engines that adjust premiums in real time based on emerging health data.
Key takeaways
- SBI Life partners with Datamatics to embed Agentic AI in underwriting.
- The AI system aims to speed up policy issuance and improve risk‑score precision.
- Pilot testing will start later this quarter, with a full rollout planned thereafter.
- The move aligns with a wider shift toward AI in India’s life‑insurance market.
- Success will depend on regulatory compliance, data governance, and demonstrable efficiency gains.
Frequently asked questions
What is Agentic AI and how does it differ from traditional AI?
Agentic AI is a form of artificial intelligence that can make autonomous decisions within predefined boundaries, allowing it to act without constant human direction. Unlike rule‑based or purely predictive models, Agentic AI can initiate actions—such as adjusting risk scores—based on real‑time data analysis.
When will SBI Life’s Agentic AI underwriting system be fully operational?
The joint announcement outlines a pilot launch later this quarter, with a phased expansion to cover all new life‑policy applications after the pilot meets its performance targets.
