01
Shorten claims cycle time
Problem
What buyers are up against
Carriers need to process more volume with fewer resources while staying fair, compliant, and defensible.
- Legacy core systems resist fast integration.
- Fraud and waste hide in unstructured submission packages.
- Model decisions must be explainable to regulators and customers.
Solution
How CBNITS addresses it
CBNITS wraps AI around your core systems, extracting insight from documents, predicting outcomes, and routing work intelligently.
- Document understanding and entity extraction
- Risk and fraud scoring with feature attribution
- Workflow integration that respects authority matrices
Outcomes
Results we target
02
Improve fraud detection precision
03
Make underwriting decisions more consistent
Use cases
Where this shows up
Claims triage
Classify and route claims based on complexity, evidence completeness, and policy rules.
Underwriting assistant
Structured risk summaries that help underwriters focus judgment where it matters.
Fraud signal detection
Network and pattern analysis that surfaces suspicious behavior for investigation.
Technology
Stack and tooling
PythonApache SparkAWS / AzureLLMs and document parsersGraph databases
Talk to us about ai for insurance
Book a free scoping call and we'll map how this service fits your architecture, constraints, and timeline.