Insurance
Insurers process claims by hand with rigid rules that create delays and errors. We diagnose the real bottleneck and, depending on the case, connect policies, claims history, risk profiles, and regulations to automate evaluation and detect fraud accurately.
— J.D. Power, 2024
The problems
Claims processing takes 22 days average. The right automation reduces it to 3.
Slow claims processing
22 days average per claim. Frustrated customers, high operational costs.
Undetected fraud
Fraud patterns across multiple policies that go unnoticed.
Imprecise pricing
Risk models that don't capture complex relationships between variables.
Our solutions
Insurance
Intelligent claims processing
From 22 days to 3: automatic evaluation with full context.
Graph-based fraud detection
We identify fraud networks by crossing policies, claims, and people.
Relationship-based pricing
Risk models that understand complex correlations between variables.
Related services
GraphRAG and knowledge graphs
Only if warranted
Automation, agents, and applied AI
When it adds value
Data, integrations, and databases
Foundation when needed
Frequently asked questions
What do you diagnose first in Insurance?
We start with the operational pain, usually around Slow claims processing: 22 days average per claim. Frustrated customers, high operational costs. From there we decide whether the issue is process, data, systems, leadership, or a mix of them before proposing any implementation.
Do we need AI or a new platform to solve it?
Not by default. In Insurance, the right answer can be a process change, integration, automation, dashboard, custom software, or no build at all. We only use AI or advanced data architecture when the diagnostic shows it will change the business result.
What could an initial project look like?
A first scope often targets Intelligent claims processing: From 22 days to 3: automatic evaluation with full context. We keep the scope tied to one measurable outcome, clear ownership, and the capacity your team actually has to operate the change.
How does fractional CAIO/CTO support work here?
We act as fractional technical leadership for Insurance: prioritizing risks, turning Undetected fraud into concrete operating decisions, selecting or coordinating vendors when needed, and supervising implementation until the change is working in the business.