InsurTech AI Engineering

AI Solutions for Insurance & InsurTech

XPndAI builds AI agents for claims processing, policy recommendation, fraud detection, and customer support automation for general and life insurance companies.

What We Build
For Your Business

End-to-end AI and software engineering with measurable enterprise outcomes.

How Leading Teams
Deploy This Technology

1

Claims Automation — General Insurance Company

A general insurance company automated their motor claim FNOL process using our AI pipeline. Documents are extracted, damage is assessed via AI, and a claim recommendation is generated for the surveyor — cutting average claim TAT by 65%.

2

Policy Renewal Voice AI — Life Insurance Distributor

A life insurance distributor deployed our AI voice agent for renewal calls on 50,000+ lapsing policies. The agent handled conversations in Hindi and English, captured objections, and escalated warm prospects to advisors — improving renewal conversion rates measurably.

Built With Modern Tools

OpenAI GPT-4oLangChainVapiPineconeFastAPIPostgreSQLTwilioAWSCustom ML Models

Common Questions Answered

Everything you need to know before starting an AI project with XPndAI.

What AI solutions does XPndAI build for insurance companies?

XPndAI builds AI claims processing automation, document AI for policy and claim document extraction, AI underwriting assistants, customer service chatbots and voice agents, fraud detection models for claims, renewal and cross-sell AI agents, and RAG-powered policy knowledge bases for agents and customers.

How much does insurance AI development cost?

Insurance AI at XPndAI starts from ₹10–20L for a claims document AI pipeline or AI chatbot, ₹30–80L for an underwriting assistant or fraud detection model, and ₹1–3Cr for enterprise claims automation. All pricing is fixed-fee — no time-and-materials ambiguity.

Can AI automate insurance claims processing?

Yes. XPndAI builds AI systems that extract structured data from claim documents (bills, discharge summaries, FIRs, survey reports), validate against policy terms using AI, flag anomalies for fraud review, and auto-approve straight-through claims — reducing processing time from days to hours.

Does XPndAI comply with IRDAI regulations for AI in insurance?

Yes. XPndAI builds insurance AI with IRDAI guidelines compliance, ensuring all AI decisions have human override capability, audit logs, and explainability reports. We align with IRDAI's Sandbox framework for InsurTech and support Motor, Health, and Life insurance workflows.

How long does insurance AI implementation take?

A claims document extraction pipeline takes 6–8 weeks. A full underwriting AI assistant with CBS integration takes 12–16 weeks. An enterprise fraud detection system takes 4–6 months. XPndAI provides a working PoC in Week 3 of every engagement so you can validate before full investment.

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Deep Dive. Free.

Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.

  • Technical Architecture Blueprint — custom for your use case.
  • Scalable Infrastructure — built for enterprise growth.
  • Production-Ready Code — rigorous QA and deployment.
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