1. Overview
Our client — a mid-sized commercial bank in Asia — was seeking to improve compliance efficiency within its Invoice-to-Cash (I2C) process. With thousands of invoices and documents to process weekly, they needed a solution that could automate compliance checks with high accuracy, save time, and integrate seamlessly with their existing systems.
2. Challenges
The bank faced several pressing issues:
- Massive document volume:
Tens of thousands of invoices, financial contracts, and internal memos had to be manually reviewed every year, consuming significant time and posing a high risk of human error.
- High personnel cost:
An estimated 30,000 analyst hours per year were spent on document verification and compliance checks, limiting the team’s ability to focus on strategic work.
- Strict regulatory requirements:
Financial institutions are subject to rigorous internal and external audits, with zero tolerance for reporting errors.
- Lack of early risk detection:
Anomalies were often identified too late in the audit cycle, leading to delays and reactive crisis handling.
3. Solution – Deploying the “Reg-Monitor” AI Agent
We developed and implemented a specialized AI Agent named Reg-Monitor to automate compliance checks across the entire Invoice-to-Cash process.
Key features of Reg-Monitor include:
- Automatic data extraction from invoices and PDFs: Uses OCR and NLP to read and interpret information from unstructured documents.
- Real-time compliance validation: Cross-checks invoice details (amounts, due dates, contract terms) against internal financial policies and current regulations.
- Anomaly detection and risk alerts: Flags inconsistencies and automatically generates risk evaluation reports for the internal audit team.
- Structured audit report generation: Summarizes findings into well-formatted, actionable audit memos.
- API integration with ERP and DMS systems: Ensures seamless data synchronization without disrupting the bank’s existing infrastructure.
4. Results Achieved
After just 3 months of pilot and full deployment, the bank reported significant improvements:
- Reduced compliance check time by over 95%: From an average of 30 minutes per invoice to under 2 minutes.
- Saved 30,000 analyst hours annually — equivalent to reducing workload for approximately 15 full-time employees.
- Increased document review accuracy to 98%, up from the previous manual average of ~87%.
- Zero critical findings in the most recent financial audit.
- Audit and compliance staff reallocated to strategic analysis and customer experience enhancement.
5. Technologies Used
To build the Reg-Monitor AI Agent, we applied the following technologies:
- Custom AI Agent Framework (developed by BAP): Allows task-specific customization for financial operations.
- Natural Language Processing (NLP): Interprets and analyzes text from financial documents.
- Machine Learning: Continuously improves accuracy in compliance detection through learning from audit feedback.
- Optical Character Recognition (OCR): Extracts data from scanned or image-based documents.
- API Layer: Integrates with platforms such as SAP, Oracle Financials, and custom accounting systems.
6. Conclusion
The emergence of the AI Agent “Reg-Monitor” has enabled banks not only to reduce costs and accelerate processes but also to enhance compliance — a vital factor in the financial industry. This is a clear example that the application of AI Agents is not just a trend, but an effective solution for financial enterprises seeking to digitally transform their core processes.
With the capability to design and customize AI Agents tailored to each business model, we are ready to help you unlock the potential of intelligent automation for all your critical workflows. Leave your information here, and we will proactively reach out to provide consultation.
