Underwriters manually re-keying data from submissions into spreadsheets to make risk decisions?
No visibility into portfolio accumulation or concentration risk until month-end bordereaux?
Insurance Underwriting Software Development
Custom underwriting software for insurers and MGAs who need automated decisioning within appetite, referral workflow for complex risks, and real-time portfolio visibility -- not underwriters re-keying submission data into spreadsheets.
Built with a configurable rules engine your underwriting team controls, third-party data enrichment to reduce manual lookups, and portfolio analytics that update in real time -- not at month-end bordereaux.
Submission intake and triage -- structured data capture, document extraction, completeness checks
Referral and manual underwriting workflow -- queues, notes, approval workflow
Portfolio analytics -- accumulation monitoring, loss ratio reporting, underwriting performance
Insurance underwriting software supports risk assessment, automated decisioning within appetite, referral management for risks outside auto-bind criteria, quote and binder generation, and portfolio analytics. RaftLabs builds custom underwriting platforms for insurers and MGAs, with configurable rules engines, third-party data enrichment, and accumulation monitoring, delivered at a fixed cost.
100+Products shipped
·24+Industries served
·FixedCost delivery
·12-14Week delivery cycles
An underwriter at a spreadsheet is a capacity problem
When submissions arrive by email and underwriters re-key data into spreadsheets to run their risk assessment, three things happen. First, the submission-to-quote time is measured in days rather than minutes. Second, decisions vary by underwriter because each person is applying the rulebook from memory, not from a system that enforces it consistently. Third, nobody has a live view of the portfolio -- accumulation and concentration are things you discover at month-end when the bordereaux is assembled.
The data problem compounds over time. Each underwriter's spreadsheet is a separate data source. When your actuary asks what percentage of your portfolio is in coastal zip codes, the answer takes a week to produce.
Custom underwriting software changes the model. Submissions enter a structured intake flow -- data captured once, documents extracted, completeness checked. The rules engine applies your appetite criteria automatically and produces an auto-decision or a referral with the reason stated. Referred risks go to the right underwriter's queue with the submission data, enrichment data, and referral reason already assembled. The underwriter makes a decision, not a data entry exercise. The portfolio view updates with every bound risk -- not at month end.
What we build
Submission intake and triage
Structured submission intake via a broker-facing portal or an internal submission entry form, depending on your distribution model. Dynamic forms capturing the risk data required for each product -- a property submission needs different fields than a liability submission. Document upload at submission with completeness checks -- the system identifies which required documents are missing and prompts for them before the submission moves forward. Data extraction from uploaded documents using structured parsing where submission forms are standardised. Triage rules routing each submission to the correct underwriting team based on product, line of business, sum insured band, and geography. Acknowledgement sent to the broker with submission reference and expected response time.
Risk scoring and automated decisioning
Rules engine applying your underwriting appetite criteria to each submission. Rules configured by your underwriting management team through an admin interface -- no software release required to adjust a threshold, add a new exclusion criterion, or modify a referral trigger. Three decision outcomes: auto-approve within appetite with quote generated, auto-decline outside appetite with decline reason recorded, or refer to manual underwriting with the referral reason and relevant risk factors surfaced for the underwriter. Third-party data enrichment triggered automatically -- property data, credit data, sanctions screening, telematics -- so the underwriter does not need to run manual lookups. Decisioning audit trail logging every rule applied, every data input used, and the outcome reached.
Referral and manual underwriting workflow
Referral queue showing each referred submission with the referral reason, submission data, enrichment data, and any prior coverage history on the insured. Assignment to the correct underwriter by specialism and workload. Underwriter workspace showing the full submission in one view -- no switching between systems to see the risk. Notes field for underwriter commentary -- recorded and visible to the team, not buried in an email chain. Approval workflow for risks above a delegated authority threshold -- junior underwriter submits, senior underwriter or class underwriter approves, with approval documented in the record. Response sent to the broker from within the system with the quote or decline reason, keeping the decision and the communication in one place.
Quote and binder generation
Quote document generated automatically from the underwriting decision -- coverage terms, conditions, and premium presented in a format your brokers expect. Quote valid for a configurable period with expiry tracked in the system. Binder issued on broker confirmation with bound terms, coverage commencement date, and carrier details. Binder number generated and recorded for bordereaux reporting. Quote and binder documents stored against the submission record with generation timestamp. Multi-option quoting where you want to present alternative coverage structures or premium levels alongside the primary quote. Quote conversion tracked -- issued, accepted, declined, or lapsed -- for pipeline reporting.
Portfolio analytics
Real-time portfolio dashboard updating with every bound risk -- no waiting for month-end processing. Accumulation monitoring showing written premium, policy count, and total sum insured by territory, risk category, and coverage type. Concentration risk view by geography -- zip code, county, or state -- so you can see where your exposure is building against your appetite limits. Loss ratio reporting by product, underwriter, and vintage for the risks where claims data is available. Underwriting performance metrics -- submission volume, quote conversion rate, referral rate, and average premium -- by underwriter, team, and product. Portfolio reports exportable for carrier bordereaux submission and internal management reporting.
Third-party data integration
Integrations with external data providers enriching the submission record before the underwriter reviews it. Property data from CoreLogic, Verisk, or your preferred provider -- construction type, year built, replacement cost estimate, flood zone, wind zone. Credit data from Dun and Bradstreet or Experian for commercial risks. Telematics data integration for motor products with telematics scoring. Sanctions screening against OFAC, EU, and UN consolidated lists before a quote is issued. Company data from Companies House or Secretary of State filings for commercial underwriting. Each data integration is triggered automatically at the appropriate stage of the submission workflow and the results stored against the submission record for audit purposes.
Frequently asked questions
Underwriting software is a platform that supports the risk assessment and decisioning process for insurance submissions. It covers submission intake and data capture, automated risk scoring against your appetite criteria, referral management for risks requiring human review, quote and binder generation, and portfolio analytics. The goal is to reduce the time underwriters spend on data entry and manual lookups, make appetite criteria consistent across the team, and give management real-time visibility into the portfolio -- not a picture assembled at month end from individual spreadsheets. A well-built underwriting platform shortens submission-to-quote time, improves decision consistency, and makes portfolio accumulation visible before it becomes a problem.
The rules engine is a configurable layer where your underwriting team defines the criteria that determine automatic approvals, automatic declines, and referral triggers. Each rule has conditions -- sum insured above a threshold, risk in an excluded territory, claimant history above a count -- and an outcome -- auto-approve, auto-decline, or refer with a reason. Rules are evaluated in sequence against the submission data and third-party enrichment data. The outcome and the rules triggered are logged against the submission for audit. Your underwriting management team can add, modify, and disable rules through an admin interface without a software release. Rule versions are tracked so the decisioning audit trail always references the rule set active at the time of the decision.
Yes. For Lloyd's market, we build integrations with the Lloyd's systems relevant to your operations -- PPL (Placing Platform Limited) for risk placement data and DXC Crystal for claims, depending on your workflow and which systems your managing agent requires. For E&S and surplus lines, we handle the data requirements of your stamping office and generate the surplus lines tax data required by each state. We have also built integrations with IMSWorkplace and Applied Epic for brokers running E&S books through those agency management systems. The specific integration scope depends on your market, your capacity providers' requirements, and your distribution channel. We scope this specifically during discovery.
The portfolio analytics module provides real-time views of written premium, policy count, and sum insured by product, territory, underwriter, and risk category. Accumulation monitoring shows where exposure is building against the limits you set -- useful for managing catastrophe exposure and reinsurance treaty limits. Underwriting performance analytics cover submission volume, quote rate, referral rate, bind rate, and average premium by underwriter and team. Loss ratio reporting combines portfolio data with claims data where claims are available in the system. All analytics are exportable to CSV for further analysis, and the underlying data is structured to support bordereaux generation for carrier and reinsurer reporting.
Talk to us about your underwriting software project.
Tell us which lines you write, how submissions currently reach your underwriters, and where decisioning consistency or portfolio visibility is the problem. We will scope the right system and give you a fixed cost.
