Insurance Submission & Claims Intake
Submissions and FNOL packets arrive as unstructured PDFs. Every one is re-typed before an underwriter or adjuster can even look — and quote turnaround is where brokers lose deals.
What can be automated in insurance submission & claims intake? With current AI and integration tooling: extraction from acord/loss runs/schedules with confidence scores; completeness checks against line-of-business rules; claims document classification and key-fact extraction; routing to the right underwriter/adjuster with summary. What should remain under human control: underwriting judgment, pricing, and appetite decisions; coverage determinations and settlements; anything bearing licensed responsibility. Olyra implements this with confidence scoring, audit logging, and human-review gates matched to risk.
What this work looks like today
Submission teams, claims intake units, broker servicing staff.
Email, ACORD forms, loss runs, SOVs, policy admin systems, claims platforms, rating tools.
Measured before we touch anything: Quote turnaround time · Submissions handled per underwriter · Claims cycle time to first action
What gets automated — and what stays human
Automated (with logging):
- Extraction from ACORD/loss runs/schedules with confidence scores
- Completeness checks against line-of-business rules
- Claims document classification and key-fact extraction
- Routing to the right underwriter/adjuster with summary
Stays under human control:
- Underwriting judgment, pricing, and appetite decisions
- Coverage determinations and settlements
- Anything bearing licensed responsibility
How value and risk are managed
What we baseline and track
Quote turnaround time · Submissions handled per underwriter · Claims cycle time to first action · Re-key error rate
Risks designed for
Licensed judgment never automated; regulated-data handling designed with compliance; per-file audit trail.
Typical implementation path: One line of business piloted on last quarter's submissions; production with exception queues. Implementation follows the Olyra 120: pilot on real historical volume, parallel run, then measured cutover.
Find out what AI can actually do for your operations.
Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.
Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.