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Allianz Partners
Insurance · Germany / International
19 days to 4 days
Allianz Partners processes 65% of travel claims straight-through with agentic AI architecture
Rather than one central AI tool, Allianz built a multi-agent architecture where task-specific agents handle document recognition, policy matching, pre-approval, and payment, with humans always in the loop for rejection decisions.
Friction
Processing tens of millions of claims annually across 70+ countries, with agents spending most of their time on document processing and administrative follow-up. Complex cases and meaningful customer contact suffered as a result. Average time from claim to payment: 19 days.
Breakthrough
An agentic AI architecture where multiple task-specific agents execute sub-processes in sequence. Low-complexity claims run straight-through to payment without human intervention. A hard design principle: human agents always make rejection decisions. No fully autonomous AI refusal.
Impact
Average claim processing time dropped from 19 to 4 days, a 78% reduction. 71% of all claims now resolved within 12 hours. 65% of claims eligible for full straight-through processing. Payment possible within 6 hours of submission. In Germany, 49.7% of pet insurance claims fully automatically processed in 2025.
Unlock the full analysis with breakthrough, impact, what made it smart and its technical approach below!
Problem
Allianz Partners processes claims for customers who are often in the middle of a trip or an emergency, the moment they need fast resolution most. Yet internally, most agent time was consumed by document sorting and administrative tasks, not customer support.
What made it smart
The agentic architecture, multiple specialised agents working in sequence, mirrors how a skilled claims team works but without the bottlenecks. The critical design decision: AI can approve and pay, but humans must make any rejection. This preserves fairness, reduces liability, and maintains trust.
Technical approach
NLP-based document classification, policy matching, and pre-approval scoring. Low-risk profiles proceed straight-through to payment; complex or emotionally sensitive claims escalate to a human agent. At an organisational level, claims staff shifted from document sorters to customer partners for complex situations.
Strategic lesson
Agentic AI creates the most value when you map the decision rights carefully and protect the most consequential ones for humans while automating the mechanical ones.
Reflection question
In your customer-facing processes, which decisions are high-volume and low-stakes enough to automate fully, and which are consequential enough to always require a human?