The Healthbus Case Study: Quote Automation in Insurance
From 3–4 days to real-time quote generation
The Challenge
Healthbus, a health insurance company, was struggling with a manual quote generation process that was limiting their competitive advantage. Their workflow required:
- 3 to 4 days to process a single quote
- An average of 5 client touchpoints to gather complete documentation
- A third-party vendor with four dedicated manual staff
- Manual data extraction from insurance plan summaries in varying carrier formats, making standardization nearly impossible
The Solution
Kamiwaza deployed visual language models capable of interpreting any carrier document format automatically. The platform connected to Healthbus's existing data sources in-place — no data migration, no system replacement, no multi-year infrastructure program.
The Results
- Quote generation time: 3-4 days → real-time
- Client touchpoints: 5 → 1
- Manual processing dependency: eliminated
- Deployment: first production workflow live within weeks
The Lesson
The Healthbus deployment illustrates the core Kamiwaza thesis: the bottleneck to AI automation is rarely the data or the model; it's the architecture. When enterprises are given a platform that brings AI to the data rather than forcing data to move, complex workflows become solvable problems quickly.