A New-York-based InsurTech startup needed an intelligent front-end to replace static comparison tables. Users frequently abandoned flows due to complexity and lack of explanation for policy differences.
They requested a transparent AI agent that could interpret user intent, query provider APIs, and explain recommendations in plain language —
all while remaining compliant with insurance advertising regulations.
We had experience integrating complex API ecosystems with natural-language layers and implementing explainable AI (XAI) for financial products. Our compliance-by-design process aligned with state and federal insurance disclosure requirements.
01 Opaque Comparisons:
Users saw price differences without understanding
coverage trade-offs.
02 Fragmented Provider Data:
Varying field names, exclusions, and localization.
03 Long Response Times:
Clinicians ignored > Multiple sequential API calls made the UI feel sluggish.
04 Compliance Risk:
Explanations needed to avoid “advice language”
prohibited by regulators.
