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AI & Insurtech

Sarvada research, workflows, and commentary focused on ai & insurtech.

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85 published articles

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AI & Insurtech

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June 26, 2026

AI & Insurtech - May 2, 2026 - 15 min read

Real-Time IoT Risk Monitoring Dashboards for Commercial Insurance India

Indian commercial insurers and their manufacturing clients are deploying shared IoT sensor dashboards that feed live temperature, vibration, smoke, and CCTV analytics data to underwriters, risk managers, and claims teams simultaneously. Tata AIG and Bajaj Allianz have tied premium discounts of 8 to 15% to documented IoT compliance, with IRDAI's data-sharing framework providing the regulatory structure.

By Sarvada Editorial Team

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AI & Insurtech - April 11, 2026 - 16 min read

Agentic AI in Insurance Operations: Autonomous Claims Triage, Underwriting Delegation, and Governance Risks

Indian insurers are moving beyond generative AI chatbots to agentic systems that take autonomous actions across claims triage, document collection, and underwriting delegation, with implementation economics, IRDAI governance expectations under the Information and Cyber Security Guidelines, 2023, and practical guardrails for production deployment.

By Sarvada Editorial Team

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AI & Insurtech - March 18, 2026 - 14 min read

NLP-Based Policy Wording Analysis and Automation in Indian Commercial Insurance

An expert examination of how natural language processing and large language models are transforming policy wording analysis in the Indian insurance market, from SFSP clause extraction and exclusion mapping to IRDAI compliance checks and automated endorsement generation, with practical implementation considerations for insurers, TPAs, and brokers.

By Sarvada Editorial Team

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AI & Insurtech - March 10, 2026 - 15 min read

AI-Driven Fraud Ring Detection in Indian Commercial Insurance: Graph Analytics, Network Analysis, and Regulatory Realities

How Indian commercial insurers are deploying graph analytics, social network analysis, and machine learning to detect organised fraud rings that evade traditional rule-based systems, with practical guidance on IRDAI compliance, data integration challenges, and implementation strategies for mid-market carriers.

By Sarvada Editorial Team

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