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AI & Insurtech

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

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AI & Insurtech

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June 26, 2026

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85 articles

AllAI & InsurtechClaims & Loss PreventionGlobal & Cross-Border InsuranceIndustry Risk ProfilesInsurance for Startups & New EconomyInsurance ProductsMarket & TrendsOperations & Best PracticesRegulation & ComplianceRisk Management StrategiesUnderwriting & Risk

AI & Insurtech - June 11, 2026 - 15 min read

AI-Driven Sanctions and PEP Screening in Indian Insurance Operations 2026

Insurers and brokers must screen parties at onboarding and at claims against UN, OFAC and Indian MHA lists, and the legacy rule-based screening drowns teams in false positives. AI screening cuts the false-positive load with better name matching while keeping the PMLA and IRDAI AML obligations, the audit trail and the explainability that a sanctions decision demands.

By Sarvada Editorial Team

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AI & Insurtech - June 11, 2026 - 8 min read

India's AI Governance Guidelines and IRDAI's Sectoral Mandate: What Commercial Insurers and Brokers Must Build in 2026

India has chosen a sectoral, principles-led route to regulating artificial intelligence rather than an omnibus AI Act, leaving the Insurance Regulatory and Development Authority of India to set the rules for AI in underwriting, claims and distribution. This piece explains the MeitY India AI Governance Guidelines, how liability is allocated across the AI value chain, and what a commercial insurer or broker should actually build to be defensible when an AI-driven decision is questioned.

By Sarvada Editorial Team

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AI & Insurtech - June 8, 2026 - 15 min read

AI-Assisted Endorsement Drafting on Broker Platforms in India 2026

Mid-term endorsements are high-volume, error-prone and consequential: a poorly drafted endorsement can void cover or create a dispute at claim. AI-assisted drafting on broker platforms generates endorsement wording from instructions, checks it against the base policy, and keeps version control and an audit trail, with human review and IRDAI documentation expectations holding it together.

By Sarvada Editorial Team

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AI & Insurtech - June 5, 2026 - 16 min read

AI Submission Intake and Data Enrichment for Indian Commercial Underwriting in 2026

Commercial submissions arrive as a mix of broker emails, spreadsheets, scanned proposal forms and PDF schedules, and underwriters spend more time assembling a clean risk record than assessing the risk. AI intake and enrichment changes that economics by extracting structured risk data, validating it against CIN, GST and geospatial sources, and pre-filling the rating engine, under IRDAI governance.

By Sarvada Editorial Team

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AI & Insurtech - June 4, 2026 - 13 min read

AI Subrogation Recovery Automation in India 2026: Finding the Recoveries Insurers Leave on the Table

Subrogation recovery is where Indian insurers leave the most money uncollected, because identifying recoverable claims and pursuing third parties is manual, slow and inconsistent. This guide maps how AI is being applied to surface recovery opportunities, prioritise pursuit and improve recovery rates across motor, property and commercial lines.

By Sarvada Editorial Team

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AI & Insurtech - May 31, 2026 - 28 min read

AI Loss-Run Analytics for Indian Mid-Market Renewals 2026: Pattern Detection, Pricing Triggers and Broker Workflow

AI-driven loss-run analytics are reshaping how Indian brokers and mid-market insureds approach FY2025-26 renewals. Pattern detection on three to five year loss histories, pricing trigger flags and structured insurer negotiation are producing measurable premium and coverage outcomes beyond traditional spreadsheet review.

By Sarvada Editorial Team

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AI & Insurtech - May 30, 2026 - 14 min read

Agentic AI in Enterprise Operations 2026: Liability and Insurance Gaps for Indian Corporates

Indian enterprises are handing autonomous AI agents real authority over payments, procurement, customer service, and operations. When an agent errs and causes financial or third-party loss, liability and insurance gaps open across professional indemnity, tech liability, cyber, product liability, and D&O. This guide maps the gaps and how corporates should structure cover and contracts.

By Sarvada Editorial Team

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AI & Insurtech - May 30, 2026 - 25 min read

Generative AI for Commercial Risk Survey Report Generation in India 2026: From Site Walk-Through to Underwriting Submission

Generative AI is collapsing the timeline from site survey to underwriting submission for Indian commercial risks. Surveyors, brokers and insurers are deploying LLMs and vision models on site visit data, with measurable gains in turnaround, consistency and IIISLA-aligned compliance, alongside new governance questions.

By Sarvada Editorial Team

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AI & Insurtech - May 22, 2026 - 21 min read

Predictive Fleet Telematics for Commercial Motor Insurance India 2026: From Pricing Signals to Loss Prevention

How commercial fleet telematics is reshaping motor insurance in India through 2026: LCV, HCV, and taxi-aggregator adoption, IRDAI PAYD and PHYD circulars, pricing-signal feature engineering, driver coaching ROI, claims frequency reduction, and the vendor stack across CarIQ, Trinetra, LogiNext, Locuz, and insurer-built platforms.

By Sarvada Editorial Team

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