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AiServa
AiServa for Insurance and Claims

Private AI for claims, every document read the same day.

A claim arrives as photos, repair quotations, police reports, medical bills and forms. AiServa extracts what matters, checks it against the policy wording, flags gaps and inconsistencies, and drafts the adjuster's report, all on your own server.

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A Malaysian claims adjuster at a desk reviewing photos of a dented car door, a repair quotation and a police report, with extracted claim fields on the monitor

What slows insurance and claims down today.

01

Claim files are a pile of attachments

Every claim means reading and retyping the same kinds of documents before any assessment can start.

02

Policy wording is long and layered

Schedules, endorsements and exclusions decide cover, and finding the right clause takes time.

03

Claimant data is sensitive

Identity documents, medical bills and accident reports should not go to a public AI service.

What AiServa does for insurance and claims.

Each task runs on your own AiServa server. The AI prepares; a professional reviews and decides.

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Claim Document Extraction

Claimant, policy, incident, amounts and parts extracted from forms, quotations, bills and reports into the claim record.

policy

Policy Wording Search

Coverage questions answered from the policy wording, schedule and endorsements, with the clause cited.

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Photo and Quotation Checks

Repair quotation lines compared with the damage visible in photos, with unexplained items flagged for the adjuster.

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Completeness Checks

Each claim checked against the required document list, with requests for missing items drafted.

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Adjuster Report Drafting

First-draft reports built from the extracted facts and findings, in your template, for the adjuster to finalise.

Have a Job of Your Own?

Turn it into a skill or a command in your own workspace, add the documents to a knowledge base, and every colleague can run it the same way.

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Ask your own documents. Get the source.

A private RAG knowledge base indexes the documents you already have with a local embedding model and vector database. Every answer cites the file and page. How RAG works.

Documents it reads

  • Claim forms
  • Accident and damage photos
  • Repair quotations and invoices
  • Police reports
  • Medical bills and reports
  • Policy wordings, schedules and endorsements
  • Adjuster reports
  • Correspondence

Example Questions

Is flood damage covered under this motor policy?

SourcePolicy wording section 2, endorsement 57

Does the repair quotation match the damage in the photos?

SourceQuotation lines compared with photo findings

What documents are still missing for this claim?

SourceClaim checklist, 2 items outstanding

Summarise the medical bills by provider and date.

SourceFour medical bills, totals by provider

Illustrative questions. Document names and references are examples.

Printed photos of a dented bumper and a repair quotation with a circled line beside a tablet showing a claim checklist with open items
Photos, quotation and policy wording checked together before the adjuster decides.

One workflow, automated end to end.

Motor claim intake, run by an AiServa workflow agent with a human approval step. How workflow automation works.

  1. 01 AI

    Claim and attachments received

  2. 02 AI

    Documents classified and fields extracted

  3. 03 AI

    Cover checked against the policy wording

  4. 04 AI

    Photos compared with the repair quotation

  5. 05 Human

    Adjuster reviews and decides

  6. 06 AI

    Report drafted and claim logged

What insurance and claims use.

See Every Capability
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AI Agent

An agent that finishes the task, not a chat box.

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Claim Intake Checks

Claim documents checked against the policy.

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Checklist Compliance Checks

Every item met, missing or unclear.

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OCR Reader

Scanned PDFs, readable.

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PDF Tools

Merge, split and extract pages.

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Workflow With Sign-Off

Multi-step work with a person approving.

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Company-Wide Knowledge Base

One place to ask about every policy and procedure.

Confidential by where it runs.

Claims contain identity, medical and financial information. AiServa processes it only on your own hardware with role-based access and a complete log of who handled what. It supports assessment; decisions on cover and settlement stay with your claims team.

Runs on your server
Role-based access
Every answer logged

More on security, access control and air-gapped deployment.

Questions Insurance and Claims Ask

Does AiServa approve or reject claims?expand_more

No. It extracts, checks and drafts. Cover and settlement decisions remain with the claims team and adjusters.

Can it read vehicle plates from photos?expand_more

AI Agent can read a plate from a clear vehicle photo using a vision model on your own server. High-volume or camera-based plate reading is outside what AiServa does.

Can it flag possible fraud?expand_more

It flags inconsistencies, such as quotation items not visible in the photos or dates that do not line up. Investigating them remains a human task.

AiServa for other professions

Engineers Lawyers Accountants Doctors and Clinics Architects and QS HR Professionals Procurement Educators Property Agents and Valuers Logistics and Supply Chain Consultants

Create your own AiServa workspace.

Free for 14 days with every feature. Sign up, pair your own AI server or add your own cloud keys, invite your team and give the AI Agent a real task.

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