Slow, manual underwriting
Pricing that requires manually reviewing documents, cross-referencing multiple data sources, and waiting for internal validation. The customer waits days for a quote that could be ready in minutes.
Insurers, brokers, and mutuals manage enormous volumes of documents, claims, and renewals with teams that do not scale. AI does not replace the actuary or claims adjuster — it reduces mechanical time so they apply their expertise where it truly matters.
Every fraudulent claim detected late, every renewal lost because no one called in time, every repeated inquiry consuming an agent's hour — these are measurable losses that add up over the year. The data to prevent them already exists: in the CRM, claims history, and policy metadata.
Pricing that requires manually reviewing documents, cross-referencing multiple data sources, and waiting for internal validation. The customer waits days for a quote that could be ready in minutes.
Fraud patterns only visible when analyzing hundreds of cases — anomalies in dates, amounts, recurring workshops or doctors. Without a model, each case is reviewed in isolation.
Portfolio expiring without proactive contact, or with generic outreach that ignores the client's history. Attrition does not arrive as a wave — it arrives one by one.
Storm weeks or renewal campaigns: the call center collapses, wait times spike, NPS drops. More agents do not scale — automation does.
Five applications with documentable ROI at 12 months. In every case, professional judgment (actuary, adjuster, agent) is preserved where it adds value — AI handles mechanical volume.
The system automatically extracts applicant data from documents and external sources, pre-fills the underwriting form, applies the company's rules, and proposes a rate in seconds. The underwriter validates and binds — without starting from scratch.
Quote time for personal lines reduced from hours to minutes. Underwriting capacity expanded without adding headcount.
A model that scores each new claim against historical fraud patterns: frequency, atypical amounts, recurring repair shops or medical providers, inconsistencies in statements. Suspicious cases are flagged for investigation before payment.
Fraud detection rate improves 30-50% versus purely manual review. Avoided fraudulent payments cover the project cost within months.
A churn propensity model identifying policies at high risk of non-renewal 60-90 days before expiry. The sales team receives a daily prioritized list with the probable reason and recommended retention message.
Retention rate improves 4-8 percentage points on the portfolio where applied. Direct ROI in retained premium versus the cost of acquiring a new policy.
An assistant on web, app, and WhatsApp that handles coverage inquiries, opens claims, requests documents, and tracks status — without wait times or office hours. Transfers to an agent when judgment or negotiation is required.
50-65% reduction in repetitive call center contacts. Policyholder satisfaction rises from immediate response. Agents freed for complex claims.
Pipelines that automatically process policies, claim forms, medical reports, and assessments: extract structured data, classify claim type, and route to the correct department. No manual data entry, no manual sorting.
Claim opening and routing time reduced from hours to minutes. Classification errors and misfiled documents drop to near zero.
We work with leading insurance platforms (Guidewire, Duck Creek, Salesforce Financial Services, proprietary systems) via API or direct integration. The AI layer connects on top — without touching certified actuarial or regulatory workflows.
Audit of key processes: underwriting, claims, renewal, and service. We identify the 2-3 use cases with the best ROI for your specific lines and volume.
End-to-end implementation of fraud detection, assisted underwriting, or portfolio retention on a defined line or perimeter.
For companies wanting AI consolidated across multiple processes: fraud, underwriting, retention, and service on a common architecture.
A 30-minute call about your lines of business, claims volume, and distribution mix. We leave with 2-3 prioritized cases and a ballpark investment and expected ROI.