InsurTech and Insurance Software Development for Claims, Underwriting and Policy

An insurance product is a filing before it is a feature: the line, the states or markets, the rating basis and the distribution model decide what the software must do and what the regulator will read. Discovery settles those with you before a roadmap exists, then scopes a first release whose rating logic, disclosures and reporting will survive the second state and the first market-conduct exam. For an MGA or an InsurTech that means the carrier partnership and the binding authority are in the design, not discovered when the first policy has to issue.

Quote, bind, issue, endorse, renew and cancel as one governed lifecycle rather than a chain of vendor screens. Coverage is modeled as data — products, forms, rating tables and rules versioned under change control — so a new product or a state variation is configuration, not a release. Every transaction writes the audit record the market-conduct examiner will ask for, and every document is generated from the same policy record the portal and the billing system read. Built on Java, Node.js, React and PostgreSQL, the same stack that carried a bank’s deposit onboarding to 98% identity-verification accuracy.

A claim starts with a stressed policyholder and ends with a reserve, a payment and a record the regulator may read years later. We build first-notice-of-loss intake that captures incident data, images and consent as one record; routing rules with a written rationale per assignment; straight-through processing for the simple claims and a documented reason for every one that is not; and status the policyholder can see without calling. Adjusters keep the judgment calls; the platform keeps the evidence, the reserves and the audit trail, so the complaint ratio and the exam both come down.

Risk scoring, triage and pricing support from application data, claims history and third-party feeds, built to be examined as well as to perform. Since the NAIC’s 2023 model bulletin on insurers’ use of AI, a model that touches an underwriting or claims decision needs documented features and thresholds, bias and unfair-discrimination testing, an explanation attached to each decision and monitoring for drift. We build all four in, the way our AML models detected suspicious activity 45% faster while every alert stayed reviewable. Underwriters decide; the model shows its working, and the model-risk file writes itself.

Policyholders want to update a vehicle, file a claim and pay a premium without a phone call; agents and brokers want one console for quotes, renewals and client history instead of five logins. We build both on the same policy record, so the customer, the broker and the carrier see one truth. Disclosures, consents and e-signatures are captured where the regulator expects them, self-service is designed against the call-center’s top reasons for contact, and the same design system carries hundreds of screens as regulation changes the copy. Redesigning an enterprise compliance platform this way made its onboarding 35% smoother and cut training burden by 30%.

Claims filed from the roadside, ID cards in a wallet, telematics and usage-based pricing that need the device’s sensors: insurance is mobile-first for the policyholder even when the carrier is not. We build in Flutter, React Native or native code depending on how much of the device the product needs, with device binding, certificate pinning, offline capture for field adjusters and consent screens the regulator will read. The app runs against the same APIs and policy record as the portal, so a claim started in the app and finished by an adjuster never needs reconciling.

An insurance platform lives between systems it does not own: comparative raters, agency management systems, payment and premium-finance providers, reinsurers, bureaus, telematics feeds and the carrier partners an MGA writes for. We build the integration layer that makes them one platform — ACORD-standard data exchange, quote-bind-issue APIs partners can integrate in weeks, event streams so billing and claims see a policy change as it happens, and reconciliation that agrees with the ledger. Certification runs in sandbox before any connection carries a live policy, and every partner integration is documented for the day it has to be replaced.

Policy administration systems age into the business: rating tables nobody dares touch, a vendor roadmap that is not yours, and statutory reporting still assembled by hand. We modernize without a rewrite the examiner would notice. An API layer first, so new products and portals ship against the old core; then modules re-platformed one at a time — rating, billing, documents — each with a rollback and a reconciliation before the old path is retired. Migration runs by book of business, in parallel, proven against the general ledger before cutover. The regulator sees continuity; your team gets a system it can change in a sprint.

Loss triangles, reserve development, statutory and Solvency reporting and the exam’s data call all depend on one thing: policy, premium and claims data that reconciles and can be traced back to source. We build the pipelines, warehouses and reporting layers that give actuarial, finance and compliance one version of the numbers, with lineage from a filed report to the transaction behind it. Data that arrives from partners and bureaus in a dozen formats is governed the way we governed watchlist data for a compliance platform, where duplicate and inconsistent records fell by 40% and updates became 50% faster.

The NAIC Insurance Data Security Model Law, New York’s 23 NYCRR 500 and IRDAI’s cyber guidelines all ask for the same thing in different words: a written information security program with evidence behind it. We build the cloud estate and delivery pipeline so the controls are structural — segregated environments, encryption and key management, access by role, signed releases, immutable logs and incident records — and the evidence for SOC 2 and ISO 27001 audits is generated as the platform runs. Where health data enters the product, HIPAA scope is engineered narrow; where card payments do, PCI DSS scope is kept to the payment path.