All case studies
Agentic AI · Financial Services
Cutting claims processing time by 74%
A multi-agent orchestration layer that triages, validates, and routes insurance claims with human-in-the-loop review.
- Processing time
- -74%
- Straight-through rate
- 3.2×
- Analyst hours saved
- 12k+/yr
Challenge
A regional insurer’s claims queue relied on manual triage. Straight-through processing was rare, and backlogs grew every peak season.
Solution
We designed a multi-agent layer that classifies, validates, and routes claims, with human review only where risk or ambiguity is high.
Result
Median processing time dropped 74%, with full audit trails and clearer analyst workload.
Technologies
- Python
- LLM orchestration
- Event bus
- PostgreSQL
“Devoun didn’t sell us a demo—they left us with a claims system our ops team actually runs.”
Let's build what's next.
Tell us where you want to be in twelve months. We'll architect the system, the team, and the roadmap to get you there.