Screenshot of the Claims customer-document checklist designer interactive demo
Screenshot of the interactive demo, on sample data

Claims customer-document checklist designer

Relevant preparation instructions without claim decisions.

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For
Claims service teams
Solves
Customers receive long irrelevant evidence checklists.
Delivers
Professional-reviewed evidence checklist
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$10,500 for the MVP, $35,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For claims service teams, turn approved case-type requirements into professional-reviewed evidence checklist.

  1. Select approved document categories.
  2. Explain purpose.
  3. Flag uncertain requirements.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned professional-reviewed evidence checklist.

What goes in, what comes out

What the customer puts in
  • Approved case-type requirements

AI drafts, people review. Source-based content workspace with editorial delivery.

What the customer gets
  • Professional-reviewed evidence checklist
02

How it works

The workflow

  1. In
    Start with

    Approved case-type requirements

  2. 1

    The buyer creates a project

  3. 2

    Supplies approved case-type requirements

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Professional-reviewed evidence checklist

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: select approved document categories; explain purpose; flag uncertain requirements. Use only approved case-type requirements and preserve uncertainty in professional-reviewed evidence checklist. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

What your team sees

Key screens: Brief and sources, Claims customer-document checklist designer, Review and delivery. Use a project list and editorial calendar beside a document editor. Keep original material and supporting passages in a collapsible side panel. Show outline, draft, review and approved stages. Provide tracked edits, comments, version comparisons and an export preview that reflects the final delivery format. Open with brief and sources; move into claims customer-document checklist designer for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Client workspaces, source permissions, editorial assignments, change history, reviewer comments, approval gates, revision allowances and export templates. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.

Integrations and data access

Broker-approved policy documents, case records and carrier requirements. Document storage, word processor export, content management systems and approved publishing channels. Pilot with uploads and downloadable drafts before adding write integrations. Begin with uploads and exports of approved case-type requirements. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    6 days

    One buyer segment, one recurring use case; first modules: select approved document categories; explain purpose. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    3 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will claims service teams use it to solve "customers receive long irrelevant evidence checklists"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
  4. Measure, then decide. Track unnecessary document requests; reviewer correction minutes; buyer acceptance and repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: One organization, one defined input format and one representative pilot batch using approved case-type requirements. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: select approved document categories; explain purpose. Support the third task through an assisted review queue: flag uncertain requirements. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of professional-reviewed evidence checklist. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

After the MVP. After paying customers repeatedly accept professional-reviewed evidence checklist, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned professional-reviewed evidence checklist. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. One organization, one defined input format and one representative pilot batch using approved case-type requirements. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Document parsing, a source-linked editor, tracked revisions, reviewer workflow and reliable document export. Rich presentation or print output needs format-specific QA. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One organization, one defined input format and one representative pilot batch using approved case-type requirements. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: select approved document categories; explain purpose. Manual review in the loop.

    $10,500 · about 6 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $10,500 · about 7 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $14,500 · about 3 weeks of creation time

Indicative total, MVP to full product$35,500about 5 weeks of creation time · start with the MVP from $10,500

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$50–$100$70–$140$120–$240
Full productabout 50 customers$190–$380$700–$1,400$890–$1,780
05

Run it or resell it

Internally

For your own team

Claims service teams run it inside the business: approved case-type requirements in, professional-reviewed evidence checklist out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

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Headings
Playfair Display
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Voice
Reassuring, clear, no small print
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 400-1,500 for a tightly scoped initial content package. Convert repeated work to a monthly retainer with explicit deliverable and revision limits. Specialist review and substantial research are separately scoped. Prices are hypotheses. For this buyer, package the first sale around prepare a sample professional-reviewed evidence checklist from a small authorized set of approved case-type requirements and the defined professional-reviewed evidence checklist. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Relevant preparation instructions without claim decisions. Demonstrate the result with prepare a sample professional-reviewed evidence checklist from a small authorized set of approved case-type requirements for claims service teams. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Broker associations and insurance service consultants

Lead magnet

Prepare a sample professional-reviewed evidence checklist from a small authorized set of approved case-type requirements

The first 30 days

  1. Week 1: interview five prospective buyers from claims service teams and inspect how they handle customers receive long irrelevant evidence checklists.
  2. Week 2: prepare prepare a sample professional-reviewed evidence checklist from a small authorized set of approved case-type requirements using authorized or synthetic material.
  3. Week 3: share the demonstration through broker associations and insurance service consultants and seek one bounded paid pilot.
  4. Week 4: measure unnecessary document requests; reviewer correction minutes; buyer acceptance and repeat purchase, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run prepare a sample professional-reviewed evidence checklist from a small authorized set of approved case-type requirements and deliver professional-reviewed evidence checklist. Compare unnecessary document requests; reviewer correction minutes; buyer acceptance and repeat purchase with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Unnecessary document requests; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around professional-reviewed evidence checklist. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unnecessary document requests; reviewer correction minutes; buyer acceptance and repeat purchase. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Why clients would pick it

Customer-approved terminology, reusable structures, source libraries and editorial feedback tied to a specific audience and recurring publishing workflow. For this concept, accumulate permissioned examples and reviewer corrections around relevant preparation instructions without claim decisions. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Writers, editors, agencies, internal document templates and general-purpose chat tools. Position this concept around relevant preparation instructions without claim decisions. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Research and interview time, transcription, model usage, factual verification, subject-matter review, editing and revisions. Initial validation additionally budgets for representative sample preparation, interviews with claims service teams, and qualified domain review of professional-reviewed evidence checklist. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Separate document preparation from coverage, underwriting and claims decisions. Authorized professionals review policy meaning and customer commitments. One organization, one defined input format and one representative pilot batch using approved case-type requirements. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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