Brokerage Fees with AI

Overview

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

Features & Functionality

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

Benefits & Business Impact