Solution

Medical Underwriting Automation

For life insurance underwriting and new-business operations teams: scanned medical histories turned into standardized case reports, risk clauses scored on your profile, every value deep-linked to its source image.

Patient health recordScanned medical imageCase reportRisk clause
Thousands of scanned record pages processedEvery value deep-linked to its source imageEvery underwriting decision human-made

The problem

Why this exists

100k+ pages

Scanned histories with no search

Patient medical records arrive as image files, tens of thousands of pages at a time — unsearchable, unlinked, and readable only by putting an expert in front of every page.

250+

SMEs keying reports by hand

Subject-matter experts hired to evaluate risk spend their days reading scans and typing case reports, with no link back to the pages the values came from.

Per reader

Risk evaluation varies by who reads the file

Risk judgment differs with each reviewer, and non-standard clauses slip through undetected — the inconsistency reinsurers and regulators ask about.

The product, not a promise

A case file you can interrogate

Medical Underwriting Automation — workspace
Scanned medical history structured into standardized fields100k+ pagescited
Every value deep-linked to its source imageCitedcited
Risk clauses scored against your severity profileScoredcited
Non-standard exclusion clause detected — routed to an underwriterverify
Case report searchable across conditions, dates, and providersSearchablecited
Decision recorded with the underwriter's name attachedHuman-approvedcited
HUMAN-APPROVED BEFORE IT POSTS

How it works

File in. Answer out.

  1. 1

    Intake

    Scanned patient medical history records arrive as image files, tens of thousands of pages at a time.

  2. 2

    Understand

    The platform reads the scans and structures the medical history into standardized fields.

  3. 3

    Flag

    Risk clauses are identified and scored against the insurer's own risk severity profile.

  4. 4

    Report

    Case reports are generated automatically, each value deep-linked to the source image.

  5. 5

    Underwrite

    Underwriters review the report and make the decision — the platform never decides for them.

Who it's for

Built for the people who own the outcome

Underwriter

Evaluate risk instead of hunting through scans.

  • Standardized case report ready when the case arrives
  • Click any condition or date through to the source page
  • Flagged non-standard clauses surfaced instead of buried

Head of underwriting operations

SME time moves from data entry to judgment.

  • 250+ experts freed from reading and keying reports
  • Two underwriters on the same history see the same risks
  • Case throughput scales with volume, not hiring

IT / compliance

Patient data stays inside your environment.

  • Deployed in the insurer's own private cloud, HIPAA-aligned
  • Evidence trail from value to page to file, preserved per case
  • Named human decision recorded on every case
Life insuranceHealth insuranceReinsuranceGroup benefitsDisability insuranceThird-party administrators
Thousandsof scanned record pages
Hundredsof SMEs previously keying reports
Private cloudHIPAA-aligned deployment
Deep-linkedevery value to its source page

One of the largest non-bank private-sector life insurers had a familiar bottleneck: more than 100,000 pages of patient medical history records, all scanned images, that had to become structured, standardized case reports before an underwriter could touch a case. Over 250 subject-matter experts spent their days reading medical documents and keying reports by hand — with no search, no link back to the source scans, and risk evaluation that varied with whoever read the file. Non-standard clauses slipped through undetected.

What it does

Botminds deployed its risk underwriting solution in the customer’s own private cloud, aligned with HIPAA requirements — patient data never leaves the client environment.

The platform reads the scanned records and generates standardized case reports automatically. Risk clauses are identified and scored against the insurer’s own risk profile: the no-code platform captures how the organization’s SMEs actually judge risk, through point-and-click training inside the tool, and standardizes that judgment across every case.

The reports are searchable, and every extracted value is deep-linked to the exact source image it came from. An underwriter who wants to verify a condition or a date clicks through to the page instead of hunting through a 400-page scan.

Why governed matters

Underwriting decisions carry decades of liability, so the platform is built to assist judgment rather than replace it. Every case report keeps its evidence trail — value to page, page to file — and the underwriter makes every decision. Standardized reports mean two underwriters looking at the same history see the same risks, which is the consistency regulators and reinsurers ask about. The SMEs move from data entry to what they were hired for: evaluating risk.

Objections, answered

What teams ask us first

How do I trust a machine-read medical history?

Every value in the case report is deep-linked to the exact source image it came from, so verifying a condition or a date is a click, not a hunt through a 400-page scan. The underwriter makes every decision; the platform never decides for them.

Our risk rules are our own — can the scoring reflect them?

Risk clauses are scored against your risk severity profile, captured from how your SMEs actually judge cases through point-and-click training in the tool — no code. The scoring standardizes your judgment across every case rather than importing a generic dictionary.

Where does the patient data live?

The solution deploys in your own private cloud, aligned with HIPAA requirements — patient data never leaves the client environment. The full evidence trail stays with each case for audit.

How long until underwriters see real case reports?

Load a set of historical case files; the first generated reports are compared against reports your SMEs already wrote. Most teams are validating output within days and running live cases within weeks.

Bring one 400-page medical file.

Watch it become a searchable, deep-linked case report live in the demo.

Request a demo