Insurance
AI + Data Modernization That Fits Mid‑Market Insurance Budgets
Embedded tiger teams for AI, data, and modernization projects
JetBridge provides embedded engineering tiger teams that modernize data, automate workflows, and ship compliant AI-fast, on budget, and without adding permanent headcount.
Snapshot
Client
Regional P &C carrier • ~$650M GWP • ~1.2M active policies • Claims + underwriting across 3 primary systems
Goal
Reduce expense ratio by automating low-severity claims and accelerating underwriting intake while improving auditability and model governance.
Starting point
Legacy PAS/claims + document-heavy workflows; siloed data; limited reporting; rising cyber + privacy requirements.
Engagement
Claims + Underwriting Automation with a Governed Data Backbone
ROI Snapshot
| Tiger team cost | $897,430 |
| Annualized run-rate savings | $3,182,670 |
| Annualized run-rate revenue lift | $1,028,540 |
| 12-month net benefit | $3,313,780 |
| Payback period | 15.4 weeks |
| 12-month ROI | 368.9% |
Constraints we designed for
- Lean IT team and narrow change windows; minimal disruption to adjusters and UW ops.
- Core/claims vendor release cycles; API limits and batch constraints.
- Security requirements: least-privilege, immutable logs, incident response readiness, and third‑party risk documentation.
- Messy identities and documents: duplicate parties, mismatched IDs, PDFs/emails, inconsistent attributes.
Reduce expense ratio by automating low-severity claims and accelerating underwriting intake while improving auditability and model governance.
Claims + Underwriting Automation with a Governed Data Backbone
Ready to explore a pilot?
We scope a 6–10 week engagement with clear success metrics and delivery cadence.
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