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RPA in Insurance | Insurance Process Automation
RPA in Insurance
Insurance operations run on structured, rule-based work. Claims intake, policy administration, underwriting data collection, compliance reporting, broker communication. The volume is high, the data is structured, and most of it follows the same logic every time.
RPA in insurance moves that work off your team. We build robotic process automation for insurers, MGAs, and brokers across claims processing, policy administration, underwriting support, and regulatory reporting, so your operations team handles the judgment calls, not the data entry.
Claims intake and processing automation from first notice of loss to settlement
Policy administration automation for renewals, endorsements, and cancellations
Underwriting data collection and submission to carrier portals
Compliance and regulatory reporting assembled automatically from your systems
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on ClutchThe problem
Sound familiar?
Claims team spending hours on data entry for each new claim instead of assessing it?
Policy renewal processing backlog causing lapses your operations team is firefighting?
Short answer
RPA in insurance automates high-volume, rule-based operations: claims intake, policy administration, underwriting data collection, and regulatory reporting. Bots extract data, update records across systems, and produce complete audit trails, so adjusters and underwriters handle judgment calls instead of data entry. RaftLabs scopes each process, agrees a fixed cost, and can launch a validated first automation in weeks.
Key takeaways
- Insurance RPA automates the high-volume, rule-based work: claims intake, policy administration, underwriting data collection, and regulatory reporting, so adjusters and underwriters spend their time on judgment calls.
- We integrate with Guidewire, Duck Creek, Applied Epic, and Majesco via API, and with legacy systems through UI automation where no API exists.
- Regulatory reporting automation covers Solvency II, Lloyd's bordereaux, FCA returns, and US state filings, with validation reports that flag exceptions before compliance review.
- Every automation produces a complete audit trail that supports regulatory examination, and straight-through processing clears simple claims without adjuster time.
- We scope each process and agree a fixed cost in writing before development starts. A first automation can launch as a validated v1, then expand across processes.
Trusted by
Proof
- Since 2015
- shipping production software for regulated industries
- RaftLabs delivery record
- 4.9/5
- average client rating across delivered projects
- Clutch, verified reviews
- Fixed price
- scope and cost agreed in writing before development starts
- Every RaftLabs engagement
Claims speed is a competitive advantage. Manual processing wastes it.
Policyholders judge their insurer at claims time more than at any other point. A claims process slowed by manual data entry, cross-system reconciliation, and paper-based workflows creates the exact experience that drives churn at renewal.
RPA in insurance compresses claims processing time by automating the structured data work, intake, record creation, document requests, and status updates, so adjusters spend their time on assessment and settlement, not administration.
McKinsey has projected that a quarter of insurance-industry work, processing claims, underwriting tasks, and other filing activities, would move onto automation workflows. For carriers and MGAs running high volumes, that shift is now the operational baseline their competitors are already building toward.
Capabilities
Insurance processes we automate
- 01Claims intake and processing
Automated first notice of loss (FNOL) processing that extracts claim data from email, web forms, and document uploads and creates claim records within minutes, with low-confidence extractions routed to staff review. Status updates, document requests, and settlement letters for low-complexity claims run automatically, cutting the administrative time per claim so adjusters move from data entry to assessment sooner.
- Built with
- Guidewire ClaimCenter · Duck Creek · Majesco
- 02Policy renewals and endorsements
Automated renewal processing that clears the policy admin backlog during peak seasons without temporary staff or lapses. The bot pulls policy data on the standard 90-60-30-day renewal cycle, checks for material risk changes, re-rates, and routes the renewal pack, while endorsements recalculate pro-rata premiums and cancellations trigger lapse and refund workflows.
- Built with
- Guidewire PolicyCenter · Applied Epic · Duck Creek
- 03Underwriting data collection
Automated collection of underwriting data from third-party sources, so underwriters review complete risk packs instead of gathering data across portals for every submission. Property, credit, catastrophe exposure, prior claims, and Motor Vehicle Record pulls assemble into a structured pack in your underwriting system, ready for a decision.
- Built with
- CoreLogic · Experian · FEMA flood zone data
- 04Regulatory and compliance reporting
Automated assembly of regulatory submissions from your policy, claims, and financial systems, replacing the multi-day compilation that occupies compliance and actuarial staff before every deadline. Every submission includes a validation report confirming fields, totals, and year-over-year movements, so compliance review focuses on exceptions, not arithmetic.
- Built with
- Solvency II QRT · XBRL · Lloyd's bordereaux · FCA returns
- 05Broker and agent communication
Automated broker communication workflows that keep distribution partners informed at every policy and claims milestone. Quote packs, policy documents, renewal reminders with one-click acceptance, commission statements, and submission acknowledgements all deliver automatically, eliminating follow-up calls.
- 06Fraud detection data processing
Automated data gathering for fraud screening at first notice of loss, so investigators receive a structured indicator report alongside the claim record. Each flag links to the data point that triggered it, and high-score claims route to your SIU queue automatically, replacing the multiple systems an investigator previously checked per claim.
- Built with
- NICB · OFAC · ISO ClaimSearch
Tell us which insurance process consumes the most operations time.
Process, current systems, and volume. We'll design the automation and give you a fixed cost.
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Read moreFrequently asked questions
The best insurance automation candidates are high volume, rule-based, and involve structured data from identifiable sources. Top processes: claims intake (extracting first notice of loss data and creating claims records across systems), claims status updates (checking carrier or third-party systems and updating your claims management platform), policy renewals (preparing renewal packs, updating records, and triggering communication workflows), endorsement processing (updating policy records based on mid-term change requests), underwriting data collection (pulling risk data from third-party sources for underwriting review), and regulatory reporting (Solvency II, Lloyd's reporting, FCA submissions).
We integrate with insurance platforms via API where available or UI automation where not. Common integrations: Guidewire (PolicyCenter, ClaimCenter, BillingCenter), Duck Creek, Applied Epic, Majesco, and custom-built policy administration systems. For legacy systems with limited APIs, UI automation handles the integration. We also integrate with external data sources, credit bureaus, property databases, weather data feeds, and public records, that underwriting and claims teams currently access manually.
Yes. Insurers face significant regulatory reporting obligations, Solvency II, IFRS 17, Lloyd's of London reporting, FCA returns, and state-level requirements in the US. RPA can automate the data extraction and compilation for these reports, apply the required transformations and calculations, validate outputs against regulatory templates, and deliver submission-ready reports to the compliance team for final review and sign-off. The bot handles the data work; the compliance team handles the review and submission. Audit trails from the automation process support regulatory examination.
RPA automates the structured data work in claims, intake, record creation, status updates, document requests, and settlement letter generation, while claims adjusters focus on the judgment-intensive work, coverage assessment, liability determination, settlement negotiation, and fraud investigation. The result is adjusters handling more claims with the same headcount, not adjusters being replaced. Straight-through processing for simple, clear-cut claims allows adjusters to concentrate capacity on complex and high-value claims.
A focused insurance automation covering a single process, such as claims intake and record creation from first notice of loss, is smaller and faster to deliver than a multi-process programme spanning claims, policy renewal, and compliance reporting. Cost depends on the number of processes, the complexity of your policy and claims system integrations, and the regulatory reporting requirements. We scope every project and agree a fixed price in writing before development starts.
Work with us
Tell us what you need. We'll tell you what it would take.
We scope RPA in Insurance in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.
- 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.