Insurance Software Development Services
Most insurance platforms weren't designed to move fast. Policy administration systems that take months to launch a new product. Claims workflows spread across paper, email, and three systems that don't talk to each other. Compliance reports assembled by hand every quarter.
We build insurance software that fixes these at the source: underwriting automation, FNOL and claims processing, policy administration with a real product configurator, AI document intelligence for policies and claims evidence, and compliance for Solvency II, FCA Consumer Duty, and NAIC. We also integrate with Guidewire and Duck Creek when replacing your core isn't the right answer. Fixed cost, scoped before development starts.
Underwriting automation with risk rules engine, bureau data integration, and decisioning audit trail
Claims processing from FNOL intake through reserve calculation, adjuster assignment, and settlement
Policy administration with product configurator, quote-bind-issue, endorsements, and MTA processing
Compliance built in for Solvency II, FCA Consumer Duty, and NAIC model laws
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
Trusted by
The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Claims team manually keying data from paper FNOLs into three systems that don't talk to each other?
Policy administration platform that takes 6 months to launch a new product because the system wasn't designed for configurability?
Weighing a multi-year Guidewire or Duck Creek implementation against a manual process you already know is failing?
Plain answer
RaftLabs builds custom insurance software for clients across the US, UK, Europe, Canada, GCC, South Africa, and Southeast Asia: underwriting automation, FNOL and claims processing, policy administration, and Solvency II and FCA compliance. Fixed-cost delivery, scoped before development starts.
What to remember
A first notice of loss comes in by phone, web form, or a scanned PDF. Someone re-keys it into the claims system. Someone else re-keys the coverage check into a second system to validate it. By the time an adjuster actually opens the file, the same information has been typed three times and nobody's confident all three copies agree.
Meanwhile the policy admin system takes months to launch a rate change, because "configurable" turned out to mean "configurable by the vendor's implementation team," not yours. And the Solvency II or FCA compliance report gets assembled from spreadsheet extracts the week before an examination, because nobody built the audit trail into the system that produces the numbers.
None of this is a technology-doesn't-exist problem. It's a "the system was built for the average insurer, not your specific claims process" problem, and it compounds every renewal cycle it goes unfixed.
Most insurers aren't running on bad software because they don't know better. They're running on it because the switch looked too risky, too expensive, or too slow. Or because the two paths on offer were both expensive in different ways: a multi-year core platform implementation, or years of the manual status quo. RaftLabs maintains a 4.9/5 rating from clients on Clutch. Compliance requirements (Solvency II, FCA Consumer Duty, NAIC, GDPR) are scoped in discovery, not retrofitted before launch.
The compliance surface is real and expanding. The UK's FCA Consumer Duty, in force since July 2023, tightened how insurers evidence fair customer outcomes. Solvency II and NAIC reporting add their own data demands. All of it is easier to meet in software built for these requirements than retrofitted onto a decades-old core.
The quieter version of the same problem is the timeline cost even mature core platforms carry. G2's own aggregate review data puts average Guidewire ClaimCenter implementation at 9 months, with average time-to-ROI at 21 months. That's not a worst-case horror story, that's the average. A platform decision and a business decision are not always the same timeline.
Everything on the left should already be true for your operation. Even one thing on the right, and integrating with or configuring your existing platform is the smarter first step.
A claims, underwriting, or policy admin workflow a configured platform genuinely can't express without heavy workarounds.
An existing Guidewire or Duck Creek investment you want to extend, not replace, with AI, document, or compliance components it doesn't provide.
Budget for a fixed-price build from $10000, and a decision-maker who can define the compliance and workflow scope.
Standard requirements a configured Guidewire or Duck Creek deployment already covers well.
No budget yet and requirements still forming.
Shopping for the cheapest hourly team, not a fixed-scope partner who tells you when custom isn't the right call.
It is whether software is the right answer at all. We use four possible recommendations before discussing a development scope.
Configure Guidewire or Duck Creek when the platform fits your scale and rules. We say so when it does.
Keep the current core system when it still supports the products you sell. Start with evidence: whether the system or the strategy is the constraint.
Own the platform when the product structure is unusual, the rules cannot be configured, or speed matters more than a platform implementation allows. Start with one module.
Do not replace a core system during active regulatory change. Stabilise the rules, then build.
Not sure which path is yours? Bring it to a 30-minute call. Leave with the answer in writing.
Scope
A risk rules engine that encodes your underwriting appetite in configurable business rules, not hardcoded logic that needs a developer when appetite shifts. Every automated bind, decline, or referral records which rules fired and why, giving your compliance team a defensible audit trail.
First notice of loss intake across web forms, phone transcripts, email, and mobile apps, normalized into a single structured claim record. Coverage is validated at intake, reserves set from your guidelines, and claims routed by line, territory, and complexity, with fraud scoring that sends high-risk claims to SIU. Compliance reporting extraction is built into the same pipeline: state DOI filings, NAIC XBRL tagging, and Lloyd's bordereaux formats generate on your submission schedule instead of being reconciled by hand near deadline.
A product configurator that defines coverage, rating factors, endorsements, and exclusions in configuration, not application code, so your product team launches and modifies products without a development cycle. Quote-bind-issue, endorsements, renewals, and cancellations handled automatically.
Extraction and validation pipelines for the documents insurance operations generate at scale: policy documents, claims evidence, medical reports, and EOBs. Every field carries a confidence score, so high-confidence extractions populate your system directly and low-confidence ones route to a review queue.
Compliance built into the software architecture, not added as an audit layer after the fact. Every automated underwriting or claims decision generates a plain-language explanation stored in the decision record, and for examinations the audit trail compresses to a regulator-ready report without manual compilation.
An integration layer between custom AI components and your existing platform, for teams that need document extraction, fraud scoring, or compliance monitoring the platform doesn't provide out of the box. Field mapping is tested against your actual configuration, so you keep the platform investment you've already made.
Tell us where your team loses the most time. We'll scope what it would take to automate it and what the before-and-after looks like.
How we work
Every project follows the same four phases. Scope is locked and price is fixed before development starts.
We map your current workflows, identify where manual work is highest-cost, assess your data and system landscape, and scope the build. No development starts without a scope document and a price you've agreed.
Wireframes and data architecture before production code. Integration points with Guidewire, Duck Creek, or your existing core platform are mapped and agreed in this phase.
Working functionality you can review and test at each milestone. Integrations are built and tested against your actual platform configuration. Compliance requirements are implemented in the build phase, not as a last-mile retrofit.
User acceptance testing against your real workflows, load testing for your transaction volumes, and compliance validation before go-live. Post-launch support included.
We'll say this plainly: RaftLabs doesn't yet have a published case study for a dedicated insurance engagement. What we do have is the domain vocabulary used correctly throughout this page: FNOL, MTA, SIU, SCR, bind/decline/refer, used the way practitioners use them. The same delivery discipline stands behind every regulated build we ship: compliance scoped in discovery, an audit trail on every automated decision, and a fixed price locked before development starts.
What clients say
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!
Charles E.
Entrepreneur at Aggie Technologies
"I found RaftLabs to be the perfect partner for Perceptional, with their expertise in helping startup founders build MVPs, a free consultation, a prototype that matched my vision, and their unwavering support."
Amer Abu Khajil
Founder, Peak Studios & Perceptional
Where to go next
Rarely the pitch. Always the difference between an audit trail that explains itself and one you reconstruct after the fact.
Every automated bind, decline, or claims decision records which rules fired and why, in plain language, at the moment it happens. That's the difference between answering an examiner in minutes and spending a week reconstructing what happened from logs nobody designed for this.
A Guidewire or Duck Creek implementation runs on the vendor's and the implementation partner's schedule. An integration layer that adds the specific capability you need, without replacing the core, runs on yours.
You've already paid for the platform investment. Adding document intelligence, fraud scoring, or compliance monitoring as a layer that subscribes to platform events costs a fraction of replacing the system that already works for what it does well.
We define exactly what the system handles automatically and where human judgment takes over, during discovery, before development starts. An automation boundary that's vague on day one is a compliance gap by month three.
What it costs
A defined scope, compliance requirements, and integration list, agreed and documented before development starts.
We quote a firm entry price for well-scoped projects after discovery. When a configured Guidewire or Duck Creek deployment fits better, we say so.
Starting investment
Starts at $10000
Priced by project after discovery, with post-launch support included. Many carriers start with one module and expand from there. After a 30-minute call, you get a written build, buy, repair, or wait recommendation plus first-phase direction. Free, whether or not you build with us.
No hourly billing
Once we scope the work, that price is locked in writing. No hourly billing, no scope change absorbed into the final invoice without your approval.
No handoff
The engineers who assess your problem also build the solution. No handoff after the contract is signed. The team you meet in discovery ships the build.
Work with us
Bring the rough workflow, half-built product, or messy brief. We will map the smallest useful first move, then send scope, timeline, and price in plain English.
We build across the core insurance software categories: underwriting platforms with risk rules engines and decisioning audit trails, claims management systems from FNOL through settlement, policy administration platforms with product configurators and quote-bind-issue workflows, document intelligence pipelines for policies, claims evidence, and medical reports, and regulatory compliance systems for Solvency II, FCA Consumer Duty, and NAIC. We also build the integration layer between custom-built components and existing core platforms like Guidewire and Duck Creek. The scope depends on what you have, what's breaking, and where the business is losing the most time or money. We assess that in discovery before quoting.
It depends on scale, business rules, and budget. Guidewire and Duck Creek are mature platforms with deep insurance functionality, pre-built compliance, and large partner ecosystems. They fit mid-to-large insurers with the licensing and implementation budget. Custom development fits when your product structure is genuinely unusual, your rules cannot be expressed cleanly in a configured platform, you need to move faster than a large platform implementation allows, or configuration costs more than building. We are honest about which fits. We also build the integration layer when a hybrid is the right answer.
FNOL automation covers the intake-to-system workflow: extracting structured data from incoming loss notices (phone transcripts, web forms, emails, mobile apps), validating policy coverage against the reported loss date and peril, populating your claims system fields automatically, classifying claim complexity for routing (simple to automated adjudication, complex to experienced adjusters), and generating the acknowledgement communication within minutes of intake. Your adjusters receive a pre-populated claim record rather than a raw loss notice to re-key. We scope the automation boundary clearly during discovery, defining what the system handles and where human judgment takes over, before any development starts.
We build insurance software with compliance requirements built in, not added after the fact. For EU-regulated insurers: Solvency II risk reporting, SCR calculation support, and audit trail requirements for automated decisions. For UK insurers: FCA Consumer Duty documentation, fair value assessment frameworks, and consumer outcome monitoring. For US insurers: NAIC model law requirements vary by state and line of business, but we cover prompt payment compliance tracking, denial letter requirement validation, and documentation requirements for personal and commercial lines. For automated underwriting and claims decisions specifically, we build the audit trail that explains the automated decision in plain language for regulatory examination. We are not a legal compliance firm. For legal sign-off, you need your compliance team and external counsel. We build systems that make compliance operationally achievable.
Cost is driven by the number of systems that need integration, business rules complexity, compliance scope, and whether you need a new user interface or API-only delivery. A focused automation build is a different project from a full policy administration platform or an end-to-end claims management system. We give fixed-cost quotes for well-scoped projects after a discovery phase.
AI applies to insurance underwriting in two main ways: risk scoring and document processing. Risk scoring models trained on your historical policy data and loss outcomes generate a structured risk tier and the top contributing risk factors at quote, reducing underwriter time per submission and improving consistency on high-volume personal lines. Document processing extracts relevant data from broker submissions, inspection reports, and prior policy documents automatically, so underwriters work from structured data rather than re-reading raw documents. Both approaches operate as tools that support underwriter judgment, not as black boxes that replace it. The audit trail that explains the AI's scoring contribution is built in from the start. We assess which AI components fit your underwriting workflow and data maturity during discovery.
Data migration is one of the riskier parts of any insurance software replacement, so we treat it as a first-class workstream. We profile the legacy data to see what is actually populated, map the legacy schema to the new one with explicit decisions on gaps, run a test migration on a representative subset, and run both systems in parallel so your team can validate migrated data against the source. Reconciliation reports confirm premium, coverage, and term data match before decommissioning. For active claims, we plan cutover timing so no claim history or adjuster notes are lost.
The most damaging pattern: product ideas rejected not because they are bad but because the system cannot support them. Leadership decides based on what technology allows, not what the market needs. Your core system should enable strategy, not constrain it. When infrastructure starts dictating what your business can and cannot do, you have crossed a threshold that is more expensive to stay at than to leave.
The Betterview test: are we an insurance company or a technology infrastructure company? If software is not core to the company, do not build it. Ready-made is faster and cheaper upfront, but rating rules and carrier connections stay vendor-fixed; custom costs more but the carrier owns the rates, the API, and every future integration. Carriers filing their own rates, selling in multiple markets, or adding partners usually move to custom within a couple of years. Each carrier connection is built and maintained on its own, which is why carrier count shows up in both timeline and cost. Claims management is the single highest-impact starting point for visible ROI: it touches satisfaction, operational cost, and fraud at once.
We work in insurance the same way we work in every regulated domain we build for: the engineers who scope your workflow learn your actual claims process, your actual policy structure, your actual compliance obligations, in discovery, before writing a line of code, rather than arriving with a generic template. We're direct about where that domain knowledge is deep versus where it's newly built for your specific engagement. What's constant across every insurance project is the same rigor: named FNOL and MTA workflows handled correctly, a real Guidewire and Duck Creek integration layer, and compliance frameworks scoped by requirement, not by buzzword.
Insurance operations software
