Insurance businesses in India, and what technology actually fixes

Claims Intake And Settlement Workflow

The problem. Claims sit in email, spreadsheets and branch queues while adjusters wait for documents, approvals and status updates.

What we build. We would connect claim intake, document collection, policy checks, assessor tasks and approval routing into one workflow, with AI agents handling routine follow-ups and escalating exceptions to the right team.

What changes. Claims move through a visible queue with fewer handoffs, faster document chasing and clear ownership of every pending decision.

You probably need this if: Your claims team spends the week asking for missing papers, checking status manually and explaining delays to policyholders or brokers.

Delivered as Workflow Automation & AI Agents from ₹39,999 one-time

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AI-Powered Document Verification Desk

The problem. KYC papers, policy schedules, invoices, medical records, repair estimates and identity documents build up in verification backlogs.

What we build. We would build a domain-tuned document system that reads Indian insurance paperwork, checks required fields and consistency, identifies missing or suspicious evidence, and sends uncertain cases to a human verifier.

What changes. Staff see a prioritised verification queue with extracted evidence and an audit trail instead of opening every document from scratch.

You probably need this if: A large part of your operations team is copying details between PDFs, portals and core-system screens before a claim or policy can proceed.

Delivered as Custom AI Build from ₹2,00,000 one-time

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Image-Based Damage Assessment

The problem. Vehicle, property and asset damage assessments depend on slow surveyor coordination and inconsistent interpretation of photographs.

What we build. We would build an image assessment workflow that organises claimant and surveyor photographs, identifies visible damage, links it to the claim and produces an estimate-supporting report for human review.

What changes. Assessors start with structured visual evidence and exceptions rather than manually sorting photographs, while final settlement authority remains with authorised staff.

You probably need this if: Surveyors repeatedly request clearer photographs, claims are reopened because damage evidence was missed, or photographs sit unreviewed while customers wait.

Delivered as Custom AI Build from ₹2,00,000 one-time

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Fraud Signals For Claims Teams

The problem. Fraudulent or exaggerated claims are difficult to spot across repeat claimants, providers, vehicles, addresses, documents and repair networks.

What we build. We would build a fraud-detection model and investigation workspace that links claim history and supporting evidence, surfaces unusual patterns and gives investigators explainable signals before they approve or reject a claim.

What changes. Investigators receive ranked cases with the underlying evidence, while genuine claims are separated from higher-risk cases for proportionate review.

You probably need this if: Fraud suspicions depend mainly on individual adjuster experience, and the same names, bank details, addresses or repairers keep appearing across unrelated claims.

Delivered as Custom AI Build from ₹2,00,000 one-time

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Underwriting Decision Support Engine

The problem. Underwriters spend too much time reviewing repetitive submissions, extracting information and comparing risk details across inconsistent proposal documents.

What we build. We would build a private underwriting assistant that extracts applicant and asset information, checks it against underwriting rules and historical guidance, highlights missing evidence and prepares a review brief for the underwriter.

What changes. Underwriters spend more time on exceptions and judgement, with consistent evidence packs and recorded reasons behind each referral or decision.

You probably need this if: Underwriters are reading the same proposal forms repeatedly, chasing brokers for basic information and relying on personal spreadsheets for risk checks.

Delivered as Custom AI Build from ₹2,00,000 one-time

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Policyholder Claims Status Voice Desk

The problem. Policyholders, brokers and repairers call repeatedly for claim status, document requirements, survey appointments and payment updates.

What we build. We would deploy an India-ready voice and chat agent that answers approved policy and claim-status questions, captures missing information, schedules callbacks or surveys, and transfers sensitive or disputed cases to staff.

What changes. Routine status calls are handled consistently across business hours and after hours, while service teams receive organised escalations instead of repeated interruptions.

You probably need this if: Your call centre spends each day answering where a claim stands, what document is missing or when a surveyor will visit.

Delivered as AI Voice Agents & Support Automation from ₹1,25,000 one-time

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How do I know if we need claims intake and settlement workflow?

You probably need this if Your claims team spends the week asking for missing papers, checking status manually and explaining delays to policyholders or brokers. Once it is running, claims move through a visible queue with fewer handoffs, faster document chasing and clear ownership of every pending decision.

How do I know if we need ai-powered document verification desk?

You probably need this if A large part of your operations team is copying details between PDFs, portals and core-system screens before a claim or policy can proceed. Once it is running, staff see a prioritised verification queue with extracted evidence and an audit trail instead of opening every document from scratch.

How do I know if we need image-based damage assessment?

You probably need this if Surveyors repeatedly request clearer photographs, claims are reopened because damage evidence was missed, or photographs sit unreviewed while customers wait. Once it is running, assessors start with structured visual evidence and exceptions rather than manually sorting photographs, while final settlement authority remains with authorised staff.

How do I know if we need fraud signals for claims teams?

You probably need this if Fraud suspicions depend mainly on individual adjuster experience, and the same names, bank details, addresses or repairers keep appearing across unrelated claims. Once it is running, investigators receive ranked cases with the underlying evidence, while genuine claims are separated from higher-risk cases for proportionate review.

How do I know if we need underwriting decision support engine?

You probably need this if Underwriters are reading the same proposal forms repeatedly, chasing brokers for basic information and relying on personal spreadsheets for risk checks. Once it is running, underwriters spend more time on exceptions and judgement, with consistent evidence packs and recorded reasons behind each referral or decision.

How do I know if we need policyholder claims status voice desk?

You probably need this if Your call centre spends each day answering where a claim stands, what document is missing or when a surveyor will visit. Once it is running, routine status calls are handled consistently across business hours and after hours, while service teams receive organised escalations instead of repeated interruptions.