Insurance
Recommendation engines that match customers to the most suitable policy options based on their profile, life events, coverage gaps, and claims history.
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Response time
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Projects delivered
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Years in production
Industry overview
Policy recommendation systems that match individual customers to optimal coverage options by analysing risk profile, life stage, claims history, and existing policy gaps — served through digital or advisor channels.
At a glance
Insurance customers are often under-covered because products are presented as a generic catalogue rather than a personalised solution. A customer who recently bought a house, had a child, or changed jobs has new coverage needs — and few insurers have a system to detect and act on these signals in time.
We build profile-based matching systems that score product fit based on demographics, risk exposure, and coverage gaps. Life-event detection models monitor for triggers — property purchase, new vehicle, business registration — and surface timely policy recommendations through advisor or digital channels. Quote personalisation APIs integrate directly into online journeys and contact centre systems.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to insurance clients.
Profile-based product matching and coverage gap analysis
Life-event trigger detection for timely recommendations
Multi-product bundling and cross-sell logic
Quote personalisation APIs for digital journeys
Advisor augmentation tools with recommendation evidence
A/B testing framework for recommendation strategy optimisation
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