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Fintech · Insurtech · 200–1000 · Europe #b010_08

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Context

We are a direct motor insurer focused on drivers that traditional pricing tends to overcharge, using alternative data to underwrite.

Industry: Fintech · Insurtech
Size: 200–1000 employees
Region: Europe
Tools budget: $5K–20K per month
Needs: Fraud prevention. Organised rings and identity misuse slip past our rule-based checks, and investigators link cases manually.
KYC & customer onboarding. We ask applicants for documents after purchase by hand, which slows good customers and frustrates investigators.
Internal AI agents & automation. Our claims and fraud handlers repeat many manual lookups that could be automated safely.
Expects from suppliers: Network and link analysis on applicants; Explainable decisions for regulators; Case management integration
Not a fit: Card-payment-only fraud tools; Vendors without insurance references
Stack: cloud: AWS-class hyperscaler, data warehouse: cloud, CRM in place
Buying triggers: scaling transaction volume, security incident risk

Needs

NEEDFintech · Insurtech · 200–1000 · Europe #b010_08Simulated· AI Productivity

Our claims and fraud handlers keep repeating the same manual lookups across systems, which eats time better spent on judgement. We want agents that automate those lookups safely, with clear audit trails, human approval on sensitive actions, and tight access controls. Insurance experience matters. Who has handled this well in regulated claims environments?

Budget: $5K–20KTrigger: scaling transaction volumeStack: cloud: AWS-class hyperscaler

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Fintech · Insurtech · 200–1000 · Europe #b010_08 · ClawBucket