Discover how an AI-enabled finance platform integrated operational, banking, and financial data to automate reporting, improve accuracy, and deliver real-time business insights.
Problem Statement:
EMBT operated with fragmented financial and operational data, resulting in manual reconciliation, delayed reporting, and limited visibility. Key processes appointment-to-payment matching, bank tracking, and financial statement preparation were time-intensive and error-prone.
Solution Offered:
- Built an integrated, AI-enabled finance stack with four modules:
- Operational Reconciliation: Matches appointments with payments to ensure revenue accuracy
- Bank Data & Auto-Recon: Extracts bank data and auto-reconciles with payment reports using AI
- Financial Statement Generator: Automates financial statement preparation from transaction data
- CEO Dashboard: Provides real-time visibility through key metrics and infographics
Result/ Impact:
- Reduced manual effort and turnaround time | Improved revenue accuracy and tracking | Faster financial reporting | Enhanced decision-making via real-time dashboards | Established a scalable, tech-enabled finance backbone