RPA in Insurance | Insurance Process Automation
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
Recent outcomes
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The problem
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
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.
Key takeaways
Trusted by
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.
According to McKinsey, over 25% of the insurance industry is expected to use automation workflows for processing claims, underwriting tasks, and other insurance filing activities by 2025. For carriers and MGAs running high claim volumes, that shift is not incremental — it is the operational baseline their competitors are already building toward.
Capabilities
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 administrative time per claim from 2-4 hours to under 30 minutes.
Automated renewal processing that clears the policy admin backlog during peak seasons without temporary staff or lapses. The bot pulls policy data 90-60-30 days before expiry, 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.
Automated collection of underwriting data from third-party sources, so underwriters review complete risk packs instead of spending 40-60 minutes per submission gathering data across portals. Property, credit, catastrophe exposure, prior claims, and Motor Vehicle Record pulls assemble into a structured pack in your underwriting system, ready for a decision.
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.
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.
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 6-8 systems an investigator previously accessed per claim.
Business Process Automation
End-to-end workflow automation across your operation.
Document Automation
Automated document generation, routing, and approval workflows.
Invoice Processing Automation
AI invoice intake, matching, and ERP posting.
Reporting Automation
Automated data pipelines replacing manually assembled reports.
Process, current systems, and volume. We'll design the automation and give you a fixed cost.
How it works
The same four steps on every engagement. A 6-week voice AI deployment runs the same shape as a 16-week enterprise project.
We spend the first week understanding the problem, not presenting a solution. Discovery session, interviews with the people closest to the work, workflow mapping, and a technical audit of what you already have. You leave knowing exactly what's broken and why previous attempts didn't fix it.
Low-fidelity wireframes before any code is written. You see the product before we build it. Scope, timeline, and fixed price locked at this stage. No surprises after work starts.
Bi-weekly agile sprints. Weekly progress calls. Direct access to the team and project management tools. Working software at the end of every sprint. Not a big-bang delivery at the finish line.
Production deployment, QA sign-off, load testing, and team handover. You own the full codebase from day one. We stay on for post-launch iteration and support, then our growth team takes it to market. Nothing gets thrown over the wall.
Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.
Stay on topic
Business Process Automation Services
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Read moreThe 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
We scope RPA in Insurance in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.