Is your claims team manually entering the same data into three different systems?
Are renewals falling through the cracks because nobody has time to follow up consistently?
Your claims team spends 60% of their day on work that should run itself
Claims adjusters at most insurers spend more time chasing documents, re-keying data, and formatting compliance reports than they do reviewing actual claims. That's not a staffing problem — it's a process problem. We build automation that handles FNOL intake, policy data extraction, renewal workflows, and commission tracking without adding headcount.
Claims cycle time cut by automating FNOL intake, triage, and document collection
Policy renewals, cross-sell triggers, and lapse notices sent automatically at the right time
Underwriting data collection and compliance reports generated without manual intervention
Agent commission calculations run error-free at close of each period
RaftLabs builds insurance process automation for claims intake, FNOL triage, document OCR, policy renewal workflows, and agent commission tracking. We've automated these processes for insurers and MGAs without replacing core systems — the automation wraps around what you already use. Fixed cost, defined scope, ships in 12 weeks.
Why insurance operations stay manual longer than they should
Most insurers know their claims team is doing work that shouldn't require humans. The problem isn't awareness — it's that the automation conversation usually stalls at "our systems are too old" or "it'll take two years to implement." Neither is true. The processes that drain the most time are exactly the ones that automate cleanest: structured intake, rule-based routing, document extraction, scheduled communications, and period-end calculations.
The operations teams we work with aren't failing. They're doing high-volume, high-stakes work with tools that weren't built to handle it at scale. We fix the tool problem.
What we build
FNOL intake automation
First notice of loss is where claims get delayed or misrouted — and it happens before a human adjuster ever sees the file. We automate FNOL intake across channels (web form, email, phone transcript) to capture loss details, validate coverage, trigger document request emails to claimants, and route the claim to the right adjuster queue based on loss type, territory, and complexity rules.
Adjusters receive a pre-populated claim file. No re-keying. No routing decisions to make manually.
Document processing and OCR
Policy documents, claims forms, medical reports, repair estimates, and proof of loss submissions all arrive in different formats. We build document processing pipelines that extract structured data from PDFs and images, validate it against policy records, flag inconsistencies, and write clean data to your claims or policy admin system.
The adjuster reviews a structured summary, not a pile of PDFs.
Renewal and lapse prevention workflows
Policies that lapse because nobody sent a timely reminder are preventable revenue losses. We automate renewal sequences that trigger at configurable intervals before expiry — email, SMS, or portal notification — with escalating urgency and personalized policy details pulled from your system. Lapse-prevention sequences fire automatically when a payment fails or a renewal is not actioned within a set window.
Underwriting data collection
Underwriters spend significant time gathering data that's already sitting in connected systems: credit scores, property records, claims history, inspection reports. We build automated data aggregation pipelines that pull from each source, normalize the data, and present a complete underwriting file before the underwriter opens the case. Submission-to-quote time drops materially.
Compliance reporting
Regulatory reports — statutory filings, loss ratio summaries, reserve adequacy reports — typically require someone to pull data from multiple systems, reconcile it, and format it correctly. We automate the extraction, reconciliation, and report generation so that the compliance team reviews and signs off rather than builds the report from scratch each period.
Agent commission tracking
Commission calculations that live in spreadsheets create errors and disputes. We build commission tracking systems that pull policy and endorsement data at period close, apply your commission rules by product, territory, and tier, generate agent statements automatically, and flag exceptions for manual review. Reconciliation time drops from days to hours.
Which process is costing your team the most time right now?
We scope automation projects at a fixed cost. Tell us where the manual work is heaviest and we'll show you what's automatable.
Related services
Insurance automation by area
Insurance Software -- full insurance industry software hub
AI for Insurance -- fraud detection, underwriting risk scoring, compliance monitoring
Insurance Loyalty -- wellness incentives, telematics-based rewards, broker loyalty
Frequently asked questions
More than most operations leaders expect. The clearest wins are in document-heavy, rule-driven processes: FNOL intake (capturing loss details, routing to the right adjuster, triggering document requests automatically), OCR-based extraction from policy documents and claims forms, renewal reminders sent at configurable intervals before expiry, lapse-prevention sequences, cross-sell triggers based on policy anniversary or life event data, underwriting data aggregation from multiple sources, and compliance report generation pulled from your live policy data. Agent commission tracking and period-end reconciliation is another area where manual calculation creates expensive errors. None of these require replacing your core policy admin system — automation wraps around what you already use and handles the repetitive work that's eating your team's time.
Yes, that's the standard model. We don't replace your policy admin system, claims platform, or CRM. We connect to them. Most insurance operations run on a mix of older core systems, spreadsheets, and newer point tools that don't talk to each other. The automation layer sits between them: pulling data from system A, applying your business rules, writing results to system B, and triggering the next action. We've built integrations with platforms like Guidewire, Duck Creek, Salesforce Financial Services Cloud, and several proprietary insurer systems. If your system has an API or an accessible database, we can connect to it. If it doesn't, we work with the data exports it produces. The integration approach is scoped in the first two weeks and agreed before development starts.
A focused automation — for example, FNOL intake routing, or a renewal reminder sequence — typically takes 4 to 6 weeks from scoping to live. End-to-end claims processing automation, including document OCR, adjuster assignment, reserve calculation triggers, and compliance reporting, is closer to 10 to 14 weeks. The range depends on how many systems need to be connected, how complex your business rules are, and how much data cleaning is required before the automation can run reliably. We scope the work at a fixed cost before a line of code is written, so there are no mid-project cost surprises. Timelines are confirmed at proposal stage.
The honest answer is it depends on your current process, but the pattern is consistent. A claims team handling 500 claims per month, where each claim requires 45 minutes of manual data entry and document chasing, is spending roughly 375 labor hours per month on work that automation handles in seconds. At a fully-loaded cost of $50 per hour, that's $225,000 per year. Automation typically costs a fraction of that in the first year, and the saving repeats every year after. Beyond labor cost, the secondary gains matter too: faster claims cycle time improves customer satisfaction and reduces leakage from claims that stall; renewal automation reduces lapse rates; commission accuracy reduces disputes and reconciliation overhead. We help clients model the ROI case before the project starts so the investment decision is grounded in their actual numbers, not industry averages.