Screenshot of the Reinsurance reporting transformation service interactive demo
Screenshot of the interactive demo, on sample data

Reinsurance reporting transformation service

Reduce recurring transformation effort without changing source meaning.

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For
Specialist insurance administrators
Solves
Recurring bordereaux require expensive manual mapping.
Delivers
Professional-reviewed reporting dataset
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$31,500 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 recurring transformation effort without changing source meaning.

  1. Map source fields.
  2. Reconcile supplied totals.
  3. Route ambiguous transformations.
  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 professional-reviewed reporting dataset with source references and unresolved questions.

What goes in, what comes out

What the customer puts in
  • Approved reporting schemas
  • Authorized sample records

AI drafts, people review. Technical delivery workspace with managed implementation.

What the customer gets
  • Professional-reviewed reporting dataset
02

How it works

The workflow

  1. In
    Start with

    Approved reporting schemas and authorized sample records

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect approved reporting schemas and authorized sample records

  4. 3

    Then follow this sequence: 1

  5. Out
    Finish with

    Professional-reviewed reporting dataset

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. One reporting standard; experts approve mappings and disclosure. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Authorized input and test setup, Proposed implementation, Test results and release review. Show a work backlog, proposed changes and verification results. Link each item to its source configuration, code or data mapping. Provide execution logs and an owner-facing health view. Keep environments and approval states clearly separated so a draft cannot be mistaken for a live change. Make the task-specific outcome professional-reviewed reporting dataset visible beside its evidence, review state and value baseline.

Accounts and administration

Project access, environment separation, versioned changes, test evidence, owner approvals, execution logs, rollback instructions and incident handling. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Broker-approved policy documents, case records and carrier requirements. Approved repositories, application APIs, execution platforms and monitoring systems. Validate current API access and behavior during discovery before promising compatibility. 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: map source fields; reconcile supplied totals. 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 specialist insurance administrators use it to solve "recurring bordereaux require expensive manual mapping"?
  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: Preparation hours and corrected submission cost avoided minus review cost.
  4. Measure, then decide. Track preparation hours and corrected submission cost avoided minus review cost; 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: One reporting standard; experts approve mappings and disclosure. Implement one approved input format, a bounded representative case set and the first two task modules: map source fields; reconcile supplied totals. Support the third module with operator review: route ambiguous transformations. 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 professional-reviewed reporting dataset. Retain the explicit scope boundary: One reporting standard; experts approve mappings and disclosure.

What the build depends on. Authorized technical access, suitable test environments, documented APIs or schemas, secrets management, meaningful checks and recovery procedures. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One reporting standard; experts approve mappings and disclosure.

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: map source fields; reconcile supplied totals. Manual review in the loop.

    $31,500 · 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.

    $8,000 · about 8 days of creation time

  3. Phase 3

    Full product

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

    $10,500 · about 3 weeks of creation time

Indicative total, MVP to full product$50,000about 6 weeks of creation time · start with the MVP from $31,500

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$60–$120$110–$220
Full productabout 50 customers$190–$380$530–$1,050$720–$1,430
05

Run it or resell it

Internally

For your own team

Specialist insurance administrators run it inside the business: approved reporting schemas and authorized sample records in, professional-reviewed reporting dataset 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#27917c
  • accent#c95456
  • surface#e4f1ee
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Reassuring, clear, no small print
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 1,000-4,000 for one bounded implementation or technical review, then USD 200-1,000 monthly for defined maintenance. Hosting, vendor fees and major feature changes are separate. Prices are hypotheses. Package the initial sale as one bounded professional-reviewed reporting dataset. 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 recurring transformation effort without changing source meaning. Demonstrate a concrete professional-reviewed reporting dataset using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Specialist insurance administrators professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample professional-reviewed reporting dataset from a small authorized input set, with a transparent calculation of preparation hours and corrected submission cost avoided minus review cost and no promised savings.

The first 30 days

  1. Week 1: interview five specialist insurance administrators and inspect a recent example of recurring bordereaux require expensive manual mapping.
  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 preparation hours and corrected submission cost avoided minus review cost, 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: Preparation hours and corrected submission cost avoided minus review cost. 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

Preparation hours and corrected submission cost avoided minus review cost; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs professional-reviewed reporting dataset. 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

Reliable niche implementations, integration knowledge, representative tests and ongoing operational responsibility. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for specialist insurance administrators. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Developers, system integrators, existing automation products and internal engineering work. Compare this product with the buyer's present method on preparation hours and corrected submission cost avoided minus review cost. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Engineering, testing, cloud execution, third-party API fees, monitoring, incident response and vendor-change maintenance. Additional initial validation requires representative authorized sample preparation, buyer interviews, qualified domain review and bounded validation of professional-reviewed reporting dataset. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Separate document preparation from coverage, underwriting and claims decisions. Authorized professionals review policy meaning and customer commitments. One reporting standard; experts approve mappings and disclosure. 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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