Reinsurance · Biometrics specialist, international
Business case for an AI portal in reinsurance
Starting point
An international reinsurance specialist in biometric risk saw room to sharpen underwriting and claims assessment with its own assessment portal. What was missing was not the idea, but a defensible business case: who uses it, which benefit justifies which investment, and what scope the PoC turns on.
What we did
We ran kickoff workshops with underwriting, claims and IT, narrowed the candidate use cases, and wrote a business case with scope, benefit levers and investment frame. Focus on decision readiness, not completeness. Disciplines deployed: AI strategy, insurance domain expertise (biometrics), business-case work. Small team, roughly three months.
Results
1
decision-ready business case after kickoff
5 markets
international in scope (EU, UK, US, APAC, LatAm)
3
quantified benefit levers (underwriting, pricing, claims)
1
sharply defined PoC scope with stop criteria
What we learned
International specialty reinsurers work with thinner data than composite or life carriers, and with higher outcome variance per case. A business case carries weight here only if it states explicitly which decisions it supports at which confidence level — otherwise the benefit is not quantifiable.
This is the summary. How we approached it methodologically — which architectural decisions we made, what we discarded and which patterns can be transferred to other contexts — we discuss in a personal conversation.
Not because we want to sell you something. But because this depth is what our clients engage us for — and it does not belong on the open internet.
More case studies
Insurance
AI platform for claims assessment in insurance
AI platform for claims assessment taken from concept to integration approval in 12 weeks.
Read case studyFood & Ingredients
AI Portfolio Management at a Food Corporation
49 use cases identified and EUR 2-5m annual savings potential validated.
Read case studyInsurance
Disability Claims Review: AI PoC with 98% Extraction Accuracy
98% extraction accuracy across 187 document classes — validated technically, economically, and for regulatory compliance.
Read case study