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Sarvada research, workflows, and commentary focused on ai & insurtech.
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106 published articles
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AI & Insurtech
Latest
August 12, 2026
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106 articles
AI & Insurtech - May 3, 2026 - 16 min read
AI-driven predictive modelling and catastrophe model integration are allowing Indian primary insurers to rethink retention levels, treaty structures, and renewal negotiations with international reinsurers, though GIC Re's mandatory cession obligations and data quality constraints shape what is achievable.
By Sarvada Editorial Team
AI & Insurtech - May 2, 2026 - 16 min read
Indian SME underwriting has long struggled with thin structured data: no audited financials, informal records, and limited credit history. Large language models are now extracting risk signals from GST returns, MCA filings, court records, and unstructured news to fill this gap, with IRDAI sandbox results beginning to validate the approach.
By Sarvada Editorial Team
AI & Insurtech - May 2, 2026 - 13 min read
Natural language processing is reshaping how Indian commercial insurers receive and process First Notice of Loss, extracting structured claim data from WhatsApp messages, emails, and call transcripts in seconds. This post examines how NLP works in practice across Indian non-life insurers and what IRDAI's claim intimation timelines mean for automation design.
By Sarvada Editorial Team
AI & Insurtech - May 2, 2026 - 15 min read
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
AI & Insurtech - May 1, 2026 - 13 min read
Straight-through processing allows Indian insurers to approve and settle eligible commercial claims without human touch, subject to mandatory fraud gates and IRDAI's 30-day settlement mandate. Go Digit and Bajaj Allianz deployments have demonstrated STP rates of 25 to 40% on specific claim categories in 2025 and 2026.
By Sarvada Editorial Team
AI & Insurtech - May 1, 2026 - 14 min read
Predictive models that identify commercial policyholders at risk of non-renewal or switching are among the highest-ROI analytics investments available to Indian non-life insurers. This post examines the data signals, model architecture, intervention strategies, and regulatory constraints that shape churn prediction in Indian commercial lines.
By Sarvada Editorial Team
AI & Insurtech - May 1, 2026 - 15 min read
Black-box underwriting models create regulatory exposure under IRDAI's Information Security Guidelines 2023 and Section 45 of the Insurance Act. Explainable AI techniques such as SHAP and LIME are now implementation requirements, not optional enhancements, for Indian insurers deploying AI-driven underwriting.
By Sarvada Editorial Team
AI & Insurtech - April 30, 2026 - 5 min read
RegTech in Indian insurance has moved past slideware. KYC automation, sanctions screening, conduct surveillance, and IRDAI returns generation are now real-money decisions for compliance heads at every mid-sized insurer and broker.
By Tarun Kumar Singh
AI & Insurtech - April 22, 2026 - 5 min read
Indian insurers and brokers are deploying AI faster than they are governing it. A working framework covers model risk, data protection, vendor oversight, and board reporting.
By Tarun Kumar Singh
AI & Insurtech - April 21, 2026 - 6 min read
Behavioural signals (how a user interacts, types, navigates, and submits documents) now do more work in Indian insurance fraud detection than traditional document and identity checks. The shift has consequences for technology choice, vendor evaluation, and DPDP Act posture.
By Tarun Kumar Singh
AI & Insurtech - April 15, 2026 - 16 min read
Indian insurers are turning to synthetic data generation to train underwriting, pricing, and fraud models without breaching the DPDP Act 2023, with practical guidance on GANs, diffusion models, tabular synthesis tools, differential privacy accounting, and IRDAI expectations for model validation.
By Sarvada Editorial Team
AI & Insurtech - April 11, 2026 - 16 min read
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
AI & Insurtech - March 18, 2026 - 14 min read
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
AI & Insurtech - March 10, 2026 - 15 min read
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
AI & Insurtech - March 8, 2026 - 15 min read
An analysis of why Indian insurtechs face persistent regulatory headwinds despite IRDAI's stated support for innovation, covering sandbox programme design flaws, prohibitive capital requirements for insurance licenses, intermediary licensing friction, and what structural reforms are needed.
By Sarvada Editorial Team
AI & Insurtech - March 6, 2026 - 14 min read
How Indian commercial insurers and policyholders are using IoT-driven predictive maintenance to reduce equipment failure rates, lower claims frequency, and unlock meaningful premium reductions across property, engineering, and business interruption covers.
By Sarvada Editorial Team
AI & Insurtech - March 2, 2026 - 11 min read
AI-driven policy comparison platforms are transforming how Indian businesses evaluate commercial insurance options, reducing assessment time from weeks to minutes while surfacing critical coverage gaps that manual reviews often miss.
By Sarvada Editorial Team
AI & Insurtech - March 1, 2026 - 16 min read
How drones are being used for commercial insurance risk surveys in India, covering applications from factory roof inspection and warehouse fire risk assessment to crop damage evaluation, DGCA regulatory requirements, cost-benefit analysis versus traditional surveys, and insurer adoption trends.
By Sarvada Editorial Team
AI & Insurtech - February 27, 2026 - 11 min read
An in-depth look at how Indian non-life insurers are deploying AI and machine learning models to detect fraudulent commercial claims -- from anomaly detection in stock losses to satellite verification of property damage.
By Sarvada Editorial Team
AI & Insurtech - February 22, 2026 - 6 min read
How API-first insurtechs are embedding commercial insurance into lending, logistics, and e-commerce platforms across India's growing digital ecosystem.
By Sarvada Editorial Team
AI & Insurtech - February 18, 2026 - 9 min read
Explore how digital twin technology enables Indian commercial insurers to build virtual property replicas for real-time risk monitoring and catastrophe simulation.
By Sarvada Editorial Team
AI & Insurtech - February 11, 2026 - 3 min read
India's rapidly growing logistics sector is ripe for telematics-driven fleet insurance. Usage-based and behaviour-based pricing models offer benefits for both insurers and fleet operators managing India's challenging road conditions.
By Sarvada Editorial Team
AI & Insurtech - February 10, 2026 - 16 min read
A balanced assessment of how large language models can automate claims assessment in Indian commercial insurance, covering use cases like document review, coverage determination, and fraud detection, alongside risks including hallucination, bias, and regulatory pushback from IRDAI.
By Sarvada Editorial Team
AI & Insurtech - February 5, 2026 - 3 min read
AI-powered claims triage is helping Indian commercial insurers prioritise claims, detect fraud early, and allocate adjuster resources more effectively. We examine how machine learning models are reshaping the first notice of loss workflow.
By Sarvada Editorial Team
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