Screenshot of the Healthcare benefits paperwork reuse wallet interactive demo
Screenshot of the interactive demo, on sample data

Healthcare benefits paperwork reuse wallet

Reduce repeat paperwork for people navigating multiple services.

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For
Patient navigation services
Solves
Patients repeatedly reconstruct the same administrative evidence.
Delivers
Patient-controlled administrative evidence pack
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$19,000 for the MVP, $50,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce repeat paperwork for people navigating multiple services.

  1. Create reusable evidence bundles.
  2. Track consented sharing.
  3. Flag recipient-specific gaps.
  4. Compare the reviewed result with the recorded baseline and value assumptions.
  5. Capture corrections and named-owner approval before consequential use.
  6. Export a versioned patient-controlled administrative evidence pack with source references and unresolved questions.

What goes in, what comes out

What the customer puts in
  • Patient-consented documents
  • Program-approved checklists

AI drafts, people review. Searchable structured library and data stewardship console.

What the customer gets
  • Patient-controlled administrative evidence pack
02

How it works

The workflow

  1. In
    Start with

    Patient-consented documents and program-approved checklists

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect patient-consented documents and program-approved checklists

  4. 3

    Then follow this sequence: 1

  5. Out
    Finish with

    Patient-controlled administrative evidence pack

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. No eligibility decisions; minimize data and require explicit sharing permission. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Permissioned records, Source-linked search, Owner review and reusable export. Use a searchable table or visual gallery with filters for the domain’s important attributes. Open each item into a detail drawer containing source records, ownership and history. Put proposed merges and field changes in a separate review queue. Provide a preview before any bulk export. Make the task-specific outcome patient-controlled administrative evidence pack visible beside its evidence, review state and value baseline.

Accounts and administration

Record ownership, access permissions, change proposals, original-value retention, version history, review dates, bulk import/export and duplicate resolution. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Clinic-approved content and administrative exports. Clinical integrations require separate assessment. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

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

    7 days

    One buyer segment, one recurring use case; first modules: create reusable evidence bundles; track consented sharing. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    8 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 patient navigation services use it to solve "patients repeatedly reconstruct the same administrative evidence"?
  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 quality and outcome thresholds before the pilot using this measure: Patient effort saved and complete submissions minus navigator labor.
  4. Measure, then decide. Track patient effort saved and complete submissions minus navigator labor; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: No eligibility decisions; minimize data and require explicit sharing permission. Implement one approved input format, a bounded representative case set and the first two task modules: create reusable evidence bundles; track consented sharing. Support the third module with operator review: flag recipient-specific gaps. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around patient-controlled administrative evidence pack. Retain the explicit scope boundary: No eligibility decisions; minimize data and require explicit sharing permission.

What the build depends on. Stable identifiers, an agreed data schema, reversible imports, mapping review and source ownership. Data quality work can exceed model development effort. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: No eligibility decisions; minimize data and require explicit sharing permission.

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: create reusable evidence bundles; track consented sharing. Manual review in the loop.

    $19,000 · about 7 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.

    $13,000 · about 8 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 3 weeks of creation time

Indicative total, MVP to full product$50,000about 6 weeks of creation time · start with the MVP from $19,000

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$50–$100$100–$200
Full productabout 50 customers$190–$380$350–$700$540–$1,080
05

Run it or resell it

Internally

For your own team

Patient navigation services run it inside the business: patient-consented documents and program-approved checklists in, patient-controlled administrative evidence pack 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.

  • primary#389127
  • accent#c354c9
  • surface#e7f1e4
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Careful, kind, clinically plain
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 500-2,500 for one collection cleanup and launch, followed by USD 100-500 monthly for maintenance within agreed record limits. Larger migrations and complex rights management are separately scoped. Prices are hypotheses. Package the initial sale as one bounded patient-controlled administrative evidence pack. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce repeat paperwork for people navigating multiple services. Demonstrate a concrete patient-controlled administrative evidence pack using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Patient navigation services professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample patient-controlled administrative evidence pack from a small authorized input set, with a transparent calculation of patient effort saved and complete submissions minus navigator labor and no promised savings.

The first 30 days

  1. Week 1: interview five patient navigation services and inspect a recent example of patients repeatedly reconstruct the same administrative evidence.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure patient effort saved and complete submissions minus navigator labor, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Patient effort saved and complete submissions minus navigator labor. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Patient effort saved and complete submissions minus navigator labor; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs patient-controlled administrative evidence pack. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A useful niche taxonomy, customer-approved mappings and accumulated correction history that improve retrieval and reduce repeated cleanup. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for patient navigation services. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Compare this product with the buyer's present method on patient effort saved and complete submissions minus navigator labor. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates. Additional initial validation requires representative authorized sample preparation, buyer interviews, qualified domain review and bounded validation of patient-controlled administrative evidence pack. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Begin with administrative scope or clinician-reviewed material. Minimize sensitive patient data, restrict access and obtain required organizational review before connecting clinical systems. No eligibility decisions; minimize data and require explicit sharing permission. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 7 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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