Underwriting Software Development

Rating engine executing the premium calculation for each coverage from the submission data, applying the factor tables, loading matrices, territory adjustments, and minimum premium rules that the product's current rating plan specifies. Factor table management with an interface for actuarial and pricing teams to update rating factors, add new territories, adjust loadings, and publish rate changes with a controlled effective date -- without requiring a developer to make the change. Rating plan versioning retaining the factor tables in force at each effective date so that policies bound under a previous rate can be renewed at the correct rate and the premium at different rating plan points can be compared for pricing analysis. Multi-coverage rating handling the interdependencies between coverages where the combined premium differs from the sum of individual coverage premiums -- package discounts, mandatory coverage loading, and combined peril adjustments. Rating audit trail recording the factor table version, the input data values, and the calculated premium for every quote so that any discrepancy between the quoted and bound premium can be traced to its source.

Risk scoring model integrating the submission data with third-party data sources to produce a structured risk assessment before the underwriter reviews the submission -- the property data from a valuation service, the hazard data from a geographic risk provider, the financial data for a commercial risk, or the claims history from an industry database. Automated risk score calculation combining the submission data and the enriched data into a score or risk tier that places the submission within the underwriting appetite -- risks within appetite proceeding to automatic rating, risks at the boundary referred to an underwriter, and risks outside appetite declined automatically with the declination recorded. Data enrichment API management maintaining the connections to each third-party data provider with the response data cached and the query cost tracked by submission and product line. Risk score transparency showing the underwriter the data inputs that produced the score and the weighting of each factor, so the underwriter can assess whether the automated score reflects the submission's actual risk profile. Model monitoring tracking the score distribution, referral rates, and loss outcomes by score band to identify rating model drift before it affects portfolio performance.

Referral routing sending submissions that fall outside the automated appetite -- risks with unusual characteristics, high-value risks above a monetary threshold, or risks in categories that require individual underwriter assessment -- to the appropriate underwriting authority with the submission data and the risk score presented in a structured review format. Referral queue management for underwriting teams handling multiple referrals simultaneously, with each referral showing the submission details, the reason for referral, the time elapsed since referral, and the quote expiry date. Underwriter decision capture recording the accept, refer-up, or decline decision against the submission with the underwriter's assessment notes, any amended rating applied, and any coverage restrictions or additional conditions imposed. Peer review workflow for referrals above a second authority threshold, routing the original underwriter's decision to a senior underwriter or chief underwriting officer for confirmation before the quote is released to the broker or customer. Referral analytics showing referral volume by reason, underwriter accept rate by referral category, and the premium and loss development of referred risks compared to automatically rated risks.

Appetite definition capturing the underwriting criteria for each product line: the acceptable risk categories, the maximum limit per risk, the geographic restrictions, the industry exclusions, and the risk-specific conditions that trigger additional underwriting review. Appetite monitoring tracking the in-force book against the defined appetite parameters -- the aggregate exposure by territory, the concentration by industry class, the maximum line per risk -- with alerts when the book approaches a defined threshold before the limit is breached. Rate adequacy monitoring comparing the premium rate achieved on each submission against the technical rate calculated from the rating model, with submissions priced below the technical rate flagged for underwriter review. Reinsurance treaty compliance checking that each risk bound stays within the reinsurance treaty's terms and conditions -- the maximum line, the excluded classes, and the geographic limits -- before the risk is placed on cover. Appetite change management with an approval workflow for changes to the defined appetite, the change recorded with the approving authority's identity and the effective date, and the previous appetite retained for reference.

Quote issuance presenting the rated premium, coverage terms, and policy conditions to the broker or distribution channel in the quote format required for that channel -- a structured data feed for a broker system integration, a formatted quote document for email delivery, or a quote presented within the broker portal for online acceptance. Quote validity management tracking each outstanding quote against its expiry date with automated reminders to brokers approaching the expiry date and automatic cancellation of expired quotes with the reason recorded. Negotiation workflow for quotes where the broker requests a premium adjustment or a coverage amendment after the initial quote, with the amended quote subject to the same authority level controls as the original and the negotiation history retained against the submission. Broker performance reporting showing quote volume, bind rate, and premium per broker over the reporting period, with the bind rate by product line and the reason for declinations where captured. Declination management recording the reason for each declination -- out of appetite, pricing not competitive, coverage not available -- with the declination data feeding back into appetite and product development analysis.

Portfolio dashboard showing the in-force book's key metrics in real time: premium volume, policy count, average premium, and exposure concentration by product line, territory, distribution channel, and underwriting year. Accumulation monitoring for catastrophe-exposed lines showing the estimated maximum loss by territory and peril zone against the reinsurance programme's retention and limit, updated as each risk is bound. Loss ratio development tracking the emerging loss experience by accident year and development month against the expected loss ratio used in pricing, with early identification of lines or cohorts developing adversely. Actuarial data pipeline producing the loss triangle data, exposure data, and premium data in the structured format your actuarial team uses for reserving, pricing analysis, and rate review -- extractable on demand rather than assembled manually. Regulatory capital reporting producing the exposure data required for Solvency II, Lloyd's, or local market capital reporting in the required format and submission structure.