Commission Tracking Creates 20+ Disputes Per Month
Disputes resolved in hours. Producers stay on board.
Manual commission calculations across multiple carrier agreements breed inconsistency. When disputes arise—and they do weekly—relationship damage compounds faster than resolution. Producers question accuracy while staff escalates to management. The calculation error rate runs 3–5% across most MGAs, translating to thousands in rework and fractured partnerships.
Commission disputes are producer churn. Each one costs relationships and revenue.
Where capacity bleeds today
The bottlenecks AI removes
Compliance Verification Happens After The Mistake
License lapses, appointment expirations, and continuing ed tracking scatter across email and paper files. Auditors find these gaps after policies are already bound. Each finding triggers remediation work, carrier reporting, and state filings. The reactive posture transforms compliance from a control into a liability.
Producer Performance Analytics Stay Hidden
Spreadsheets capture premium written and case count, but nuance—retention rates, claim frequency by book type, commission efficiency—lives in systems admins never query. Managers make producer acquisition and incentive decisions blind to actual performance drivers. Talent development becomes guesswork.
AI Insurance Distribution Management Locks in Commission Logic
Bastion's Coordinator automates commission calculations against carrier agreements, flagging exceptions before payment. Compliance tracking surfaces license lapses and education deadlines 90 days ahead. Producer analytics surface retention patterns and claim trends by book. The entire producer lifecycle—acquisition, incentive, retention—runs on real data instead of assumption.
AI dispute resolution compresses weeks into hours. Producers stay engaged.
| Dimension | Before AI | After AI |
|---|---|---|
| Commission Error Rate | 3–5% calculation errors; 2–3 disputes weekly | Zero calculation errors; exception flags before payment |
| Compliance Verification | Reactive audits find lapses after binding | Proactive alerts 90 days before expiration |
| Producer Performance Analytics | Premium and case count only; hidden retention trends | Retention, claim frequency, efficiency by book visible monthly |
| Dispute Resolution Time | 2–3 weeks per dispute; manual reconciliation | Same-day exception report; auto-resolved disputes |
| Compliance Audit Cost | 3–5 findings per audit; $15K+ remediation | Zero pre-binding; findings drop to <1 per audit |
Fewer disputes, zero compliance findings on flagged production. Margin floor improves from 22% to 18%+ across all producer portfolios.
Where this sits in the $84B pool
$30.8B of MGA revenue is AI-compressible. Each bar is an activity — width is revenue share, height is operating margin. This workflow sits where the bar lands. Click any other to explore it.
Co-operate, not consult
We take position in the workflows we automate.
MGA margin sits in intake velocity, underwriting triage, and claims throughput. We run these — not map them. Our economics are equity in the margin you recover, not retainer on the analysis.
Talk to a principalThe full $84B pool
See where the MGA margin moves.
Map every activity — width is revenue share, height is operating margin. Click any bar to explore that workflow.
View the profit poolWhat percentage of commission disputes are caused by calculation errors vs. interpretation disagreements?
Approximately 60–70% of disputes stem from calculation errors or carrier agreement misinterpretation. Manual tracking across multiple agreements creates inconsistency. The remaining 30–40% are legitimate disagreement cases where AI validates the math but parties dispute incentive thresholds. AI eliminates the first category entirely.
How much time is spent on manual producer compliance verification today?
Most MGAs spend 5–8 hours weekly on license tracking, appointment verification, and education deadline chasing. Scaling to 100+ producers turns this into a part-time role. Auditors then rediscover the same gaps, triggering additional rework. Automation compresses this to weekly automated exception reports.
What producer performance insights does AI enable that were previously hidden?
Retention rates by book type, claim frequency patterns by producer cohort, commission efficiency (premium written per commission dollar), and underwriting match quality (loss ratios by producer source). These insights surface talent development gaps and guide acquisition strategy. Without AI, MGAs make hiring and termination decisions on case count alone.