Industry solution
Operational efficiency for insurance MGAs
MGAs scale on underwriter judgment and back-office tribal knowledge — until key people leave or premium volume outruns manual intake. bizMRI maps how submissions, endorsements, and claims handoffs actually run, then ranks automation by recoverable OpEx.
Where MGAs lose time
- Submission intake re-keyed across email, PDF, and rating tools — 25–40 minutes per file
- Underwriter “shortcuts” stored in personal spreadsheets, not the policy admin system
- Endorsement and renewal workflows that differ by line of business with no single owner
- Claims triage rules known to two adjusters, invisible in any runbook
Example bottlenecks we surface
Untrusted broker data → manual re-verification
Every submission field is re-checked against loss runs and prior policies because intake data is unreliable — 90+ minutes per complex file.
Parallel rating spreadsheets
UW teams maintain shadow models when the official rater lags market — duplicate entry and version drift on every renewal.
Endorsement routing by inbox
Mid-term changes bounce between underwriting, ops, and finance via email threads with no SLA or audit trail.
ROI framing for MGA leadership
Automation funding in MGAs succeeds when tied to hours recovered per underwriter and ops FTE — not generic “digital transformation.”
- Quantify rework hours per submission, endorsement, and claims handoff
- Rank quick wins (intake validation, document extraction) vs structural (PAS integration)
- Produce a backlog ops and engineering can execute — customer-owned, re-runnable quarterly
Deep dive: MGA operational efficiency playbook
Frequently asked questions
Is bizMRI only for insurance MGAs?
No. bizMRI serves operations-heavy organizations across industries. MGAs are a strong fit because tribal knowledge and manual intake dominate back-office workflows.
Does bizMRI integrate with our PAS or rating engine?
bizMRI identifies and prioritizes automation opportunities — including integration targets. Implementation is handled by your internal team or integration partners.
How fast can we see a prioritized backlog?
Parallel AI interviews typically complete discovery in days, producing cross-validated themes and an ROI-ranked automation roadmap.
Map your MGA’s hidden workflows — request access