The Challenge
An automotive company faced a highly manual, repetitive, and error-prone process in the monthly bank reconciliation of 22 accounts. Just 3 of these accounts, due to their high operational complexity, required a full week of work. This involved intensive use of human resources to download statements from banking portals, upload them to Microsoft Dynamics NAV (NaVision), perform manual cross-checks, and compare with external auxiliary reports such as Wompi and the company’s own portal.
The process not only took up to 2 weeks per month but also presented significant challenges in control, traceability, and operational efficiency.
The Solution
Beecker proposed the development and implementation of an Artificial Intelligence Agent specialized in bank reconciliation automation.
The agent was trained to:
- Automatically log into 11 banking portals, authenticating with dynamic tokens and secure credentials
- Extract and transform bank statements in different formats (TXT, Excel)
- Upload data to Dynamics NAV, interpreting new concepts without human intervention
- Automatically validate bank expenses, taxes, and withholdings
- Execute reconciliations with different tolerance margins, simulating accounting scenarios
- Automatically detect and report unreconciled transactions
- Integrate with external platforms like Wompi, Bancolombia, and the internal portal to obtain auxiliary information without manual intervention
Results
After 3 months of implementation:
| Indicator | Before | After (with AI) | Estimated Improvement |
| Total monthly reconciliation time | 80 hours | 28 hours | ⬇ 65% |
| Time on complex accounts | 40 hours | 12 hours | ⬇ 70% |
| Manual operational load | 100% | 10% (exception review only) | ⬇ 90% |
| Reconciliation accuracy | 87% | 99.5% | ⬆ |
| Visibility and traceability | Limited | Complete, with automated reports | ⬆ |
Team Impact
- Financial analysts moved from executing operational tasks to analytical and strategic tasks
- Supervisors receive automatic alerts and visual reports to approve adjustments more efficiently
- The accounting area has traceable, auditable, and exportable reports with reconciled and unreconciled items
Conclusion
Thanks to the AI Agent implementation, this company successfully digitally transformed a critical process in their financial operation. The combination of machine learning, integration with external systems, and operational autonomy enabled intelligent, traceable, and sustainable bank reconciliation. This case demonstrates how AI Agents applied to business processes not only save time but also increase operational quality, reduce financial risk, and improve the human team experience.
Want to implement an AI Agent in your financial area?
At Beecker, we design AI Agents specialized in financial, accounting, and operational processes. Our approach combines robotic automation, artificial intelligence, and expertise in enterprise systems like SAP, Oracle, and Dynamics.
Contact us to discover how to transform your processes with applied artificial intelligence.