Insurance · Claims
Claims management software development for carriers, MGAs and TPAs
We build claims software and the pieces around a core claims system: first notice of loss intake, evidence capture and AI document extraction, triage and assignment, adjuster workbenches, customer portals and the integrations that tie them to Guidewire ClaimCenter, Duck Creek or a mainframe. We have no published insurance case study yet, and this page says plainly which of our projects the work draws on.
Short answer
Claims management software development covers the system that takes a loss from first notice to payment and closure: intake, evidence, triage, reserves, payments, fraud checks and the adjuster's workbench. Innovation Insight builds new claims platforms for $80k to $200k+, AI intake and document extraction MVPs for $25k to $60k, and extensions around Guidewire, Duck Creek or legacy cores after a $5k to $15k assessment. Discovery costs $3k to $8k. We have no published insurance case study yet.
Reviewed by Zain Khalid Malik, CTO & Co-founder · Updated
What a claims system has to do
A claim is a long-running case with money attached. It opens with a first notice of loss, collects evidence for weeks or months, moves between adjusters, experts and vendors, carries a reserve that finance watches, and closes with one or more payments and sometimes subrogation or litigation. Every step leaves an audit trail that a regulator, a reinsurer or a court may ask for. The modules below are what we scope on almost every claims project, whether it is a new platform for an MGA or a set of services around an existing core.
| Module | What it does | Where projects go wrong |
|---|---|---|
| FNOL intake | Web, app, phone and agent channels capture the loss, policy match, coverage snapshot and first contact details | Forms that ask for everything up front; claimants abandon them and call instead |
| Evidence and documents | Photo and video upload, police and repair reports, invoices, medical records, with AI extraction into structured fields | Files stored without metadata, so nobody can find the estimate that changed the reserve |
| Triage and assignment | Rules and scores route each claim to straight-through, desk or field handling and to the right adjuster by line, region, authority and workload | Rules hidden in code, so claims managers cannot change them without a release |
| Reserves and payments | Initial and revised reserves by cost type, payment authority limits, payee checks and integration with finance and banks | Payments that can be issued twice when a webhook or batch job retries |
| Fraud signals | Indicators such as recent policy changes, repeat parties, mismatched photo metadata and late reporting, sent to a special investigations queue | A black-box score that adjusters ignore because it cannot explain itself |
| Adjuster workbench | One screen with the claim timeline, tasks, diary dates, notes, documents, reserves and communications | Five tabs and three systems open for every decision |
| Customer portal | Status, document requests, appointment booking, payment choice and messages for claimants and brokers | Status labels that mean something internally and nothing to the claimant |
| Reporting | Cycle time, reopen rate, leakage indicators, adjuster load, bordereaux for delegated authority | Reports built on a copy of production that is a week out of date |
Buy, build or extend
Most carriers should not write a claims core from scratch. Guidewire ClaimCenter and Duck Creek Claims exist because loss reserving, authority limits and payment controls are hard to get right, and their configuration covers most property and casualty needs. Custom software earns its place in three situations: the product is new enough that the vendors do not model it well, the team is an MGA or TPA that needs a lighter system than a carrier suite, or the core works but the experience around it is poor.
| Option | Fits when | Typical work for us | Watch out for |
|---|---|---|---|
| Buy a claims suite (Guidewire ClaimCenter, Duck Creek Claims) | Carrier with several lines, high volume and a team that can run a large implementation | Integrations, customer portal, document AI, data migration and reporting around the suite | Licence and implementation cost; heavy customisation makes upgrades painful |
| Build a claims platform | MGA, TPA, embedded or parametric product, or a line the suites handle poorly | The whole system: FNOL to payment, rules engine, workbench, portal, reporting | You own reserving logic, authority controls and audit evidence; budget for them properly |
| Extend an existing core | The core is stable but intake, evidence handling or the adjuster experience is slow | FNOL apps, AI extraction, triage services and a workbench that reads from and writes back to the core through its APIs | Two sources of truth; we keep the core as the record and our services as helpers |
| Replace a legacy core slice by slice | A mainframe or in-house system that can no longer be changed safely | Assessment, then migration module by module beside the old system | Data reconciliation on open claims; we never cut over open claims on a single day |
Integrations: cores, data standards and third parties
Claims software lives or dies on its integrations. We map every one in discovery, with its owner, protocol, volume and failure behaviour, before any estimate is final.
- Core systems: Guidewire ClaimCenter through its Cloud APIs and integration framework, Duck Creek through its published APIs, and legacy mainframes through whatever they expose, often batch files, message queues or a screen-scraping adapter we wrap behind a clean service so it can be replaced later.
- Policy systems: a coverage snapshot at the date of loss, pulled from the policy administration system so the adjuster sees the limits and deductibles that applied then, not today. See policy administration system development for the other side of that integration.
- ACORD data standards: ACORD XML and AL3 for exchanging data with agencies and carriers, and the ACORD loss notice forms that many brokers still send as PDFs, which our document extraction reads into the same structured claim fields.
- Third parties: repair networks, independent adjusters, medical bill review, salvage, rental and payment providers, each with webhooks or files that need idempotent handling and a retry queue.
- Finance: reserves and payments posted to the general ledger, with reconciliation jobs that compare counts and sums every day.
AI in claims: where it helps and where it should not decide
Document and photo work is where AI pays for itself in claims today: reading repair estimates, invoices, police reports and medical records into structured fields, summarising a long file for a new adjuster, and flagging photos whose metadata does not match the reported date or place. Coverage decisions, denials and fraud referrals should stay with people, with the model's output recorded beside the adjuster's decision and never overwriting it. Every AI result we store keeps the provider, model, prompt version and source page so a reviewer can see why a field was filled. Our AI document processing page covers the extraction pipeline, and the intelligent document processing guide explains accuracy and review queues.
Compliance: NAIC Model 668, GDPR and SOC 2
Claims files hold some of the most sensitive data an insurer keeps: injury and medical details, bank accounts, photos of homes and people. The rules we design for depend on where you and your claimants are.
| Framework | Applies to | What it means for the software |
|---|---|---|
| NAIC Insurance Data Security Model Law (Model #668) | Insurance licensees in US states that have enacted it; the NAIC tracks adoption state by state on its implementation map | A written information security programme based on a risk assessment, encryption of nonpublic information, multi-factor authentication, oversight of third-party service providers (which includes us), and notice to the state commissioner within 72 hours of determining a cybersecurity event. Licensees with fewer than ten employees are exempt from parts of it |
| State variations | New York and other states with their own cybersecurity rules | Check the state text, not only the model: notification timing and exemptions differ |
| GDPR and UK GDPR | Claimants in the EU or UK | A lawful basis per purpose, extra conditions for health data in injury claims, security under Article 32, retention limits and data subject requests that the system can answer |
| SOC 2 | Vendors selling claims software or services to carriers | Carriers will ask for a SOC 2 Type II report; access reviews, change control, logging and incident response have to be real, with evidence |
In practice this becomes role-based access by line and authority level, field-level redaction of medical and bank data in logs and exports, encrypted storage with customer-managed keys where required, an append-only audit log of every view and change, and retention rules per document type. Our security page lists the controls we apply by default, and the post on RBAC and audit logging shows how we model them. We are not auditors and do not issue SOC 2 reports; we build the system and the evidence an auditor will ask for.
What claims software costs
| Engagement | Price | What you get | Timeline |
|---|---|---|---|
| Discovery | $3k to $8k | Claim lifecycle map, integration inventory, compliance scope, architecture and a costed backlog | 1 to 2 weeks |
| Core system assessment | $5k to $15k | Review of an existing claims core or mainframe: interfaces, data quality, risks and a migration or extension plan | 2 to 4 weeks |
| AI intake and document MVP | $25k to $60k | Digital FNOL, document and photo upload, AI extraction with a review queue, triage rules and write-back to your core | 3 to 5 months |
| Claims platform | $80k to $200k+ | FNOL to payment for one or more lines: workbench, reserves, payments, fraud signals, portal, reporting, audit trail | 6 to 12 months |
Licences for a commercial suite, cloud hosting and third-party services are paid to those vendors. The claims management software cost guide breaks these numbers down, and pricing lists our published rates, with senior engineers from $25 an hour.
How a claims project runs
- Discovery: we sit with claims handlers and a claims manager, follow real claims from notice to payment, and list every integration and report. Output: a lifecycle map and a costed plan.
- First slice: usually digital FNOL plus document extraction for one line, live with real claims within the first months and writing back to the existing core.
- Workbench and triage: a single adjuster screen and configurable routing rules that claims managers can change without a release.
- Reserves, payments and fraud signals: built with idempotent payment handling, authority limits and a reconciliation job from the first payment.
- Migration or extension: open and closed claims moved with reconciliation, or the new services kept beside the core for good.
Our relevant work
We have no published insurance case study yet, and we will not dress up other projects as insurance work. These are the projects whose engineering maps most directly onto claims software:
- Edge OCR: an enterprise document extraction SaaS with template-based and free-form OCR on AWS Lambda, AWS Bedrock for document understanding, and a processing, in-flight and dead-letter queue so failed documents are retried rather than lost. The same pipeline shape suits loss notices, invoices and repair estimates.
- GovDoc AI: long contract documents read by a retrieval pipeline that extracts more than 50 data points per contract with page-level references, using a three-pass extraction, audit and gap-filling analysis. Long medical or legal claim files need the same traceability.
- US security services company: body-camera video turned into searchable incidents, with a Vertex AI review of every incident stored beside the officer's own record and never overwriting it, and single-incident and multi-incident PDF reports. That is the evidence review and reporting pattern a claims team needs for photo and video evidence.
- Paint Nite: a platform rebuilt beside a legacy system, with sync services keeping old and new aligned so features moved across in slices and checkout ran with idempotent payments. It is the approach we would take beside a claims mainframe.
For the wider picture, start with the insurance software development guide or the insurance industry page. If your claims core is the problem, read insurance legacy system modernization and our legacy modernization service.
Sources and further reading
Next step
Tell us what you're building and get a written estimate.
A senior engineer replies within one business day. NDA on request.
Products we've shipped, and what happened next.
Case studies written from the technical documentation of each project: the stack, the scale and the outcome.
Questions we get asked a lot.
How much does claims management software development cost?
Discovery costs $3k to $8k. An AI intake and document extraction MVP that writes back to your existing core costs $25k to $60k, and a full claims platform for one or more lines costs $80k to $200k+. An assessment of an existing core or mainframe costs $5k to $15k.
Should we buy Guidewire or Duck Creek instead of building?
Usually, if you are a carrier with several lines and high volume. Custom builds make sense for MGAs, TPAs, new or embedded products, and for the intake, evidence and workbench experience around a suite you already own.
Can you integrate with Guidewire ClaimCenter or a mainframe?
Yes. We integrate through ClaimCenter's APIs and integration framework, Duck Creek's APIs, and for mainframes through batch files, queues or an adapter service that hides the old interface so it can be replaced later.
Have you built claims software for an insurer before?
We have no published insurance case study yet. Our relevant work is document extraction (Edge OCR), long-document analysis (GovDoc AI), AI review of video evidence with PDF reports, and rebuilding beside a legacy system (Paint Nite).
Does the NAIC Insurance Data Security Model Law apply to us?
It applies to insurance licensees in states that have enacted it, and it requires them to oversee third-party service providers. Check your state's version; we build the controls it expects, such as encryption, MFA, audit logs and incident notice support.
Can AI approve or deny claims?
We do not recommend it. AI extracts documents, summarises files and flags fraud indicators; coverage decisions and denials stay with adjusters, with the AI output recorded beside their decision for audit.