Brokerage Fees with AI

Revenue leakage due to missed or underbilled brokerage fees Heavy reliance on manual processes (Excel, email, spreadsheets) leading to errors Complex fee structures (tiered pricing, discounts, waivers) are difficult to interpret consistently Mismatch between trade execution and billing systems causing inaccurate invoicing Lack of integration between systems, leading to missing or inconsistent data Limited auditability and visibility into fee calculations and adjustments High risk of human error in manual overrides and adjustments Inefficient reconciliation and dispute resolution processes across siloed teams

AI-powered document extraction to parse fee agreements and extract terms Automated fee calculation engine to compute expected fees based on contract terms Discrepancy detection system to identify missed, underbilled, or waived fees AI Copilot recommendations for resolving discrepancies and suggesting corrective actions Workflow automation for case management, review, approval, and resolution Integration of trade and billing data via CSV uploads for reconciliation Audit trail and compliance tracking of all actions and decisions Analytics and reporting dashboards (Process HQ) for trends, root causes, and performance metrics Centralized data management for contracts, trades, and billing records