Our claims team processes everything manually via email and spreadsheets. Can you build automation that reduces our claim turnaround time?

Yes. We build claims processing automation covering intake from multiple channels, triage and routing to the right adjuster by claim type and value, status communication to the policyholder, document request and collection, and payment processing. That's the core capability for insurers whose manual claims process is creating delays and adjuster overhead.

Our current policy administration system can't model our specific product lines without workarounds. Can you build a custom system?

Yes. We build policy management systems around your specific product lines with your rating logic, endorsement rules, renewal workflows, and regulatory reporting requirements. That's the right choice when a generic insurance platform forces compromises on how your products actually work.

Can you build AI fraud detection integrated into our claims workflow?

Yes. We build anomaly scoring and fraud detection into insurance platforms. The system flags claims with characteristics that match known fraud patterns, prioritises claims for manual review, and integrates the risk score into the adjuster's workflow. It's designed around your claim types and loss patterns, not a generic insurance fraud model.

We're an InsurTech startup and need to go from concept to live product in a short timeframe. What does that look like?

A focused first module, one product line's quote-and-buy flow or a claims intake portal, launches as a validated v1 in 12 to 16 weeks. That first slice starts around $20K to $40K at a fixed cost agreed upfront. The full platform grows from there as you add product lines, and the architecture is built to extend without a rebuild.

How do you handle insurance compliance across US, UK, and EU markets?

We design the technical controls each regime expects: access management, audit logging, encryption, and availability monitoring for SOC 2; GDPR data-handling and residency for the EU; and the reporting hooks US state DOI filings and NAIC model rules require. For UK carriers and MGAs we build to FCA and PRA expectations. We document the controls during discovery so your compliance team reviews the approach before development begins. We do not give legal advice.

Insurance software development company

Insurance products fail in the market for operational reasons before they fail for product reasons. A policy structure your system can't model, a claims process that takes 14 days when customers expect 48 hours, and a customer portal that can't answer a status question without a call are software constraints, not business ones.

If your current platform can't handle your policy structure, or your claims team is working from spreadsheets and email threads, we build the system that actually fits how your business works.

Claims automation that cuts turnaround time and reduces manual touchpoints per claim
Policy management systems built around your product lines, not a generic insurance template
InsurTech MVPs from concept to live product in 12-16 weeks at a fixed cost
AI fraud detection and anomaly scoring built into your claims and underwriting workflows

3+ years RetentionWeek 1 First milestoneFixed price Pricing

The problem

Sound familiar?

Manual claims processing adding days to your turnaround and frustrating policyholders?
Off-the-shelf platforms that can't map to your specific policy structure or product lines?

Short answer

RaftLabs builds custom insurance software: policy administration, claims automation, underwriting workbenches, and AI fraud detection for carriers, MGAs, and InsurTech teams. Compliance controls for US state DOI and NAIC rules, UK FCA requirements, GDPR, and SOC 2 are designed in from the first sprint. A focused v1 launches in 12 to 16 weeks from around $20K to $40K, then grows into a full platform with source code ownership included.

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The numbers behind the insurance software case

Estimated annual cost of insurance fraud in the US (Coalition Against Insurance Fraud, 2022): $308.6B

Share of underwriter time lost to non-core admin work (Accenture, 2022): 40%

Annual industry efficiency loss from that manual work (Accenture, 2022): $17-32B

Insurance software built around your product lines

Legacy insurance systems fail in a predictable pattern. Claims take too long because adjusters work from email chains and PDF attachments. Policy administration requires manual intervention for endorsements that should be automatic. Customer portals are so outdated that policyholders call the contact centre for things they should handle themselves. Every compliance cycle adds more manual reporting on top of a system that was never built to produce it.

We build insurance software where the operations run in the system, not around it. Policy issuance, renewals, endorsements, and cancellations are handled by software. Claims intake, routing, and status communication are handled by automation. The compliance reporting your team currently assembles by hand gets generated from data that already exists.

Problems we solve in insurance

01
Problem
Policy administration blocked by legacy systems
Solution
Adding a new product line or changing rating logic means IT change requests, vendor release cycles, and months of testing. Carriers and MGAs miss commercial opportunities because the policy administration system can't accommodate changes at the speed the market moves. Every new product becomes a negotiation with the system rather than a business decision. The longer that persists, the more product velocity you give up to competitors who aren't carrying the same technical debt.We replace the constraint with a purpose-built policy administration system that models your products the way you actually sell them, so new product launches don't need a release cycle.
02
Problem
Claims processed via email threads causing delays and errors
Solution
Claims arrive by email, get acknowledged manually, and get assigned to adjusters via more email. Status updates go out when someone remembers to send them. Documents attach to email chains with no version control. The audit trail for a claim is a mailbox search. Delays compound and policyholders have no visibility into where their claim stands. Every day a claim sits in an inbox costs you adjuster time, policyholder trust, and potential regulatory exposure. According to Accenture Research (2022), insurance underwriters spend up to 40% of their time on non-core and administrative activities, representing an industry-wide efficiency loss of $17 billion to $32 billion annually, a number that compounds when claims and underwriting both run on manual processes.We build structured claims workflows that replace the inbox with a system: automated intake, adjuster queues, status communication, and a full audit trail per claim.
03
Problem
Customer portal is mobile-hostile and rarely used
Solution
The policyholder-facing portal was built for desktop browsers in an earlier era. It doesn't render on mobile, requires a login flow policyholders can't remember, and doesn't cover what customers actually need: submitting a claim, getting a policy document, or making a payment. So policyholders call the contact centre instead, driving up servicing costs on every interaction that the portal should have handled.We build portals and mobile apps that policyholders actually use, which means contact centre volumes fall and servicing cost per policy drops.
04
Problem
Agent and broker portals disconnected from the core policy system
Solution
Agents quote in one system, submit applications in another, and check policy status by calling the carrier. Commission reconciliation is a manual monthly exercise. When policy data changes, agents learn about it by email or not at all. The disconnect between the agent channel and the core system adds cost and reduces the quality of the agent relationship. Agents who find it hard to do business with you write less business with you.We build agent portals that connect directly to the policy system: real-time status, commission tracking, and quote-to-bind without the phone call.

What we build

Policy management systems
End-to-end policy administration covering quoting, issuance, endorsements, renewals, and cancellations. Built around your specific product lines and rating logic, not a generic insurance template you have to bend to fit your products. Includes broker and agent portals with commission tracking and real-time policy status, so your distribution channel works with you instead of around you.
Claims processing and automation
Digital claims intake with document upload, automated routing by claim type and value, and status communication to policyholders throughout the process. Workflow tools for adjusters that replace email threads with structured review queues. Settlement calculation and payment processing are integrated into the claims workflow, so adjusters spend time on judgment calls, not admin.
Underwriting platforms and AI risk scoring
Custom underwriting workbenches that bring structured data, document review, and decision logging into one place. AI-assisted risk scoring models process third-party data, claims history, and external signals to support underwriting decisions. Configurable rules engines handle automated acceptance within appetite and route referrals to human review, so your underwriters focus on the cases that actually need them.
Customer portals and mobile apps
Policyholder-facing portals and mobile apps for policy documents, renewal management, claims submission, and payment handling. Designed for adoption, not compliance, intuitive enough that policyholders use them instead of calling your contact centre. Push notifications for renewal reminders, claim status updates, and payment confirmations keep policyholders informed without a support call.
AI fraud detection and anomaly scoring
Machine learning models trained on your claims data to flag patterns associated with fraudulent submissions. Anomaly scoring integrates into the claims intake workflow so high-risk claims get identified before they reach settlement. Outputs are explainable so your fraud team can act on the findings, not just trust a score they don't understand.
InsurTech MVPs and product incubation
For InsurTech startups and carriers launching new product lines, we take an idea from concept to a working product. Discovery, architecture, build, and launch in 12-16 weeks at a fixed cost, with scope agreed before development starts. You own the source code and the infrastructure from day one, so there's no vendor lock-in.

How the build grows

Land-and-expand: from a first module to a full platform

Insurance platforms fail when they are scoped as one 18-month megaproject. We scope the smallest slice that validates the business, ship it, then extend without a rebuild.

Phase 1: Validated v1

One workflow, live

A single product line's quote-and-buy flow, or a claims intake portal that replaces the shared inbox. Enough to put real policyholders and adjusters on the system and measure it.

12 to 16 weeks to launch
From around $20K to $40K, fixed cost
Compliance controls in from sprint one

Phase 2: Core platform

Policy plus claims

Full policy administration across your product lines, claims workflow with adjuster queues, agent and broker portals, and the reporting your compliance team assembles by hand today.

Grows into six figures over time
Added product lines without re-architecture
Third-party data and payment integrations

Phase 3: Intelligence layer

AI and analytics

Fraud anomaly scoring in the claims intake path, AI-assisted underwriting risk models, and predictive analytics for churn and claims severity, layered onto the data the core platform already holds.

Explainable fraud scores for SIU review
Underwriting acceptance rules engine
Built on your loss data, not a generic model

You own the source code and infrastructure from Phase 1. There is no vendor lock-in, and no phase forces a rebuild of the one before it.

Compliance we design for, by market

United States

State DOI filing and rate-approval reporting hooks
NAIC model rules and market-conduct data trails
SOC 2 access management, audit logging, and encryption
PCI DSS scope handling where premium payments are processed

United Kingdom and Europe

FCA and PRA expectations for UK carriers and MGAs
Solvency II data and reporting requirements
GDPR data handling, residency, and DPIA support
Documented data flows for your compliance team's review

Our method

The compliance-first insurance build method

Weeks 1-2
01
Workflow and compliance discovery
We map your current insurance operations: policy lifecycle, claims workflow, agent and broker touchpoints, and the reporting your regulators expect. We find where the manual work sits, which integrations are required, and how your actuarial and compliance teams need to interact with the platform. You get a scoped proposal and a fixed cost before any development starts.
Weeks 2-3
02
Architecture design for regulated markets
Insurance software has to meet US state DOI and NAIC obligations, UK FCA rules, GDPR, or Solvency II depending on your markets. We design the data model, access controls, audit logging, and infrastructure to meet those obligations before we write code. Your compliance team reviews the architecture document before the build begins.
Weeks 3-14
03
Sprint-based build with fortnightly reviews
We build in two-week sprints. You see working software at each review, the real system, not a prototype. Adjusters, underwriters, and agents test each feature as it ships and give feedback before the next sprint. This avoids the common failure mode where a large insurance platform gets built to a spec nobody validated against real users.
Weeks 14-16
04
Testing, launch, and handover
Before go-live, we run user acceptance testing with your adjusters, agents, underwriters, and compliance staff. We provide training, run onboarding sessions, and support the production launch. You own the source code and infrastructure. Post-launch support is available for the period after launch.

Where insurance software is heading

Three shifts are reshaping what carriers and MGAs need from their systems. AI-assisted claims triage is moving from pilot to production, so the claims platform has to expose clean, structured data an anomaly model can score, not PDFs buried in email. Embedded insurance is pushing distribution into third-party checkouts, which means your policy engine needs an API-first design rather than a portal-only one. Regulators on both sides of the Atlantic are tightening reporting: US state DOI and NAIC data calls and the UK FCA's Consumer Duty both reward carriers whose systems can produce evidence on demand. We build for that direction now, so the platform you launch this year is not the constraint you fight in two.

Frequently asked questions

: Insurance software development covers building the systems that run insurance operations: policy administration, claims processing, underwriting tools, customer portals, broker portals, and the data infrastructure connecting them. For InsurTech companies, it often means building a new platform from scratch. For established carriers, it usually means replacing or extending a legacy core system with modern digital workflows. The technical work includes backend APIs, databases, business logic for rating and eligibility rules, integration with third-party data sources, and user-facing interfaces for policyholders, agents, and internal teams. The distinguishing factor in insurance is that the data model (policies, endorsements, claims, coverages, limits, exclusions) is specific enough that teams without insurance domain knowledge build it wrong and only discover the problem when they try to handle edge cases in production.
: We build the technical controls each regime expects: encryption at rest and in transit, role-based access with minimum-necessary permissions, audit logging of every access and change to sensitive data, data residency configuration where regulations require it, and documented data flows for your compliance team's review. For US carriers that means the reporting hooks state DOI filings and NAIC model rules depend on; for UK and EU teams it means building to FCA and PRA expectations and Solvency II data requirements. We don't give regulatory or legal advice. Only your compliance and legal team can assess whether your product meets its obligations. What we do is build the technical foundation that makes compliance achievable and give your team the documentation they need. We've supported clients through FCA technical reviews and GDPR data protection impact assessments by providing architecture documentation and answering technical questions from their advisors.
: Claims automation starts with a clear map of your current claims workflow: every step, every decision point, every person who touches a claim. We identify which steps have clear rules that software can run and which genuinely need human judgment. Straightforward claims within clear parameters with complete documentation go through automated routing, assessment against your rules, and settlement without adjuster involvement. Complex or ambiguous claims route to an adjuster with all the relevant data already assembled. The result is that your adjusters spend their time on claims that actually need them, not on admin that a system should handle.
: A focused first slice, a digital claims portal, a quote-and-buy flow for a single product line, or an underwriting workbench, launches as a validated v1 in 12-16 weeks. That first module starts around $20K to $40K at a fixed cost agreed upfront: no hourly billing, no scope-creep invoices at the end. The full platform grows from there as you add product lines and move into six figures over time. The timeline depends on how many external integrations you need and how complex your rating and eligibility logic is. We scope it in detail before development starts, so you know what you are getting and by when.

Insurance software by product

We have not shipped a named insurance platform we can publish yet, so we will not dress up an unrelated build as one. The closest documented proof is the high-volume OCR document pipeline below. The extraction, validation, and offline-sync approach it uses on retail transaction data is the same one a claims-document or policy-application intake pipeline runs on.

Adjacent proof

Case study: high-volume OCR document extraction

OCR Document Pipeline Processing 20K+ Transactions a Day

20K+: Transactions processed in a single day during real-world testing
40+: Sites connected during the beta phase
10: Locations monitored live with successful sync during rollout

Read case study

What we build for insurers

Related services

Talk to us about your insurance project.

Tell us what you're building, which product lines it covers, and your compliance requirements. We'll tell you how we'd approach it and what it takes to ship.

Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
All conversations are NDA-protected.

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