Insurance operations run on structured, rule-based processes -- claims intake, policy administration, underwriting data collection, compliance reporting, and broker communication. The volume is high, the data is structured, and most of the processing follows the same logic every time.
We build robotic process automation systems for insurers, MGAs, and brokers -- claims processing automation, policy admin, 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
RaftLabs builds robotic process automation systems for insurers, MGAs, and brokers -- claims intake and processing, policy administration for renewals and endorsements, underwriting data collection and carrier submissions, and regulatory reporting automation. Insurance RPA replaces the high-volume data entry and cross-system processing that slows claims handling and policy administration, with bots that run faster and produce complete audit trails. Most insurance RPA projects deliver in 8--12 weeks at a fixed cost.
Trusted by
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 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.
Capabilities
Insurance processes we automate
Claims intake and processing
Automated first notice of loss (FNOL) processing -- extracting claim data from email, web forms, fax-to-email, and document uploads; creating claim records across your claims management system (Guidewire ClaimCenter, Duck Creek Claims, Majesco, or your custom platform) and policy administration system simultaneously; and triggering the initial assessment workflow assignment within minutes of FNOL receipt rather than hours. Document extraction (Azure Document Intelligence, Google Document AI) pulls claimant details, policy number, date of loss, loss description, and involved parties from FNOL forms with field-level confidence scoring -- low-confidence fields route to a staff review queue rather than populating incorrectly. Status update automation queries third-party systems (repair shops, medical providers, legal representatives, public adjuster portals) on a defined schedule and updates your claims platform with status changes, so adjusters have current information without manual portal logins. Document request automation sends templated requests for supporting documentation (police reports, medical records, repair estimates) at defined process milestones, tracks receipt, and escalates when documents remain outstanding beyond expected timelines. Settlement letter generation for straightforward, low-complexity claims applies your settlement formula rules, generates the offer letter, and routes it for adjuster sign-off -- reducing the administrative time per claim from 2-4 hours to under 30 minutes.
Policy renewals and endorsements
Automated renewal processing that clears the policy admin backlog that accumulates during peak seasons without adding temporary staff or accepting processing delays that cause lapses. Renewal workflows trigger 90-60-30 days before expiry: the bot pulls current policy data from your policy administration system (Guidewire PolicyCenter, Applied Epic, Duck Creek Policy), checks for material changes in the risk profile (claims history in the prior period, address changes, coverage modifications), re-rates the policy using your current rating rules, generates the renewal pack, and routes it to the broker or direct customer with a configurable offer-and-response workflow. Broker portals are updated automatically when renewal documents are issued so brokers aren't calling your operations team to confirm document status. Mid-term endorsement processing handles coverage changes, additional insured requests, and vehicle or property additions -- the bot updates the policy record in your system, recalculates the pro-rata premium adjustment, issues amended schedule and certificate of insurance documents, and generates the endorsement journal entry for billing. Cancellation processing triggers lapse notifications, initiates reinstatement workflows within your reinstatement window, and generates the pro-rata refund calculation for cancelled policies -- the full processing sequence that currently requires multiple manual steps across policy, billing, and communication systems.
Underwriting data collection
Automated collection of underwriting data from third-party sources -- so underwriters review complete, structured risk packs rather than spending 40-60 minutes per submission gathering data across multiple portals and databases. Property risk data pulls from CoreLogic, Verisk Property, and county assessor databases for real property risks. Credit data pulls from Experian, Equifax, or TransUnion commercial credit APIs for commercial liability and bond underwriting. Weather and catastrophe exposure data (FEMA flood zones, wildfire risk scores, earthquake PML zones) from RMS or AIR Worldwide is appended to the risk record automatically. Prior claims history from the CLUE database (LexisNexis C.L.U.E.) and loss run requests to prior carriers are initiated automatically at submission and the results appended when received. MVR (Motor Vehicle Record) pulls for commercial auto submissions handle each driver in the submitted fleet without manual portal access per driver. All third-party data assembled into a structured underwriting pack in your UW system (including Salesforce-based UW platforms, custom portals) or as a formatted PDF pack with the raw data appended as supporting exhibits -- ready for the underwriter to make a decision rather than to begin data collection.
Regulatory and compliance reporting
Automated assembly of regulatory submissions from your policy, claims, and financial systems -- replacing the multi-day manual data compilation that currently occupies compliance and actuarial staff before every reporting deadline. Solvency II QRT templates (SCR, MCR, own funds, technical provisions) pull data from your actuarial system and financial ledger, apply the Solvency II calculation rules, and generate the XBRL-tagged submission file. IFRS 17 reporting extracts contractual service margin and loss component data from your policy systems and formats outputs to your auditor's requirements. Lloyd's bordereaux (premium, claims, and cash bordereaux) aggregate transaction data from your bordereau management system and format to Lloyd's standard templates by underwriting year and syndicate. FCA returns (FSA001-FSA009, Gabriel submissions) pull from your accounting system and apply FCA calculation rules. US state insurance department filings (NAIC annual statement, quarterly filings, market conduct data calls) pull from your statutory accounting system. Every submission includes a validation report confirming that required fields are populated, totals reconcile across schedules, and year-over-year movements are within defined tolerance thresholds -- so the compliance team's review focuses on the exceptions rather than the arithmetic.
Broker and agent communication
Automated broker communication workflows that keep distribution partners informed at every policy and claims milestone without requiring operations team time per transaction. Quote delivery automation sends quote packs (PDF, Excel, or structured data via API for broker management system integration) within minutes of underwriting decision, with declination letters for non-renewed or declined risks including the decline reason coded to your standard reason library. Policy document distribution triggers within 24 hours of policy bind: policy schedule, certificate of insurance, wording, and any endorsements delivered via email with portal upload confirmation. Renewal reminder sequences fire at 90-60-30-14-7 days before renewal expiry to the broker of record with the renewal terms attached and a one-click acceptance option for straight-forward renewals where no changes are required. Commission statement generation produces individual broker statements from your policy and billing data on your payment schedule (monthly, quarterly), formatted to each broker's preferred format and delivered via email or secure portal. New business submission acknowledgement fires within minutes of receipt, confirming the submission reference, assigned underwriter, and expected turnaround -- eliminating the broker follow-up calls asking whether their submission was received.
Fraud detection data processing
Automated data gathering for fraud screening at first notice of loss -- so investigators receive a structured fraud indicator report alongside the claim record rather than spending time collecting the data themselves before assessment can begin. Cross-referencing runs automatically at intake: prior claim history via NICB (National Insurance Crime Bureau) database queries, claimant and provider watchlist checks against OFAC and industry fraud databases (ISO ClaimSearch, LexisNexis Accurint), address verification and geolocation consistency checks (does the reported loss location match the insured property address?), social media signal collection (public posts inconsistent with reported injury or loss), and medical provider billing pattern analysis for bodily injury claims (providers with abnormal billing ratios or known fraud associations flagged automatically). Structured fraud indicator scores delivered to the claims handler alongside the claim record, with each flag linked to the specific data point that triggered it so the investigator can assess the evidence rather than interpret a black-box score. High-score claims route automatically to your Special Investigations Unit (SIU) queue for review before any payment or settlement action. The data gathering step that currently requires an investigator to access 6-8 systems manually per claim takes under 2 minutes per automated screening run.
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 system -- one process automated (e.g., claims intake and record creation from first notice of loss), including bot development, testing in your environment, and deployment -- typically runs $20,000--$55,000. Multi-process programmes covering claims intake, policy renewal, and compliance reporting run $55,000--$140,000. Cost depends on the number of processes, the complexity of the policy and claims system integrations, and the regulatory reporting requirements. We scope every project before pricing it.
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.