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Agentic Commerce Protocol (ACP)
Predictive analytics System for decision making
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RPA‑Robotic Process Automation
> Robotic Process Automation + AI
AI use cases

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          Automated Regulatory Financial Reporting

          Automated Regulatory Financial Reporting

          Thanks to the implementation of this autonomous calendar, the accounting and compliance team managed to reduce the time dedicated to these tasks from 40% to 8% of their workday, guaranteeing 100% punctuality and completely eliminating information errors for 18 consecutive months. This efficiency not only prevented regulatory findings but also allowed the staff to redirect their strategic capacity toward the development of predictive financial analysis models that were previously unfeasible due to a lack of resources.

          Identified Problem

          As a regulated entity, this fintech had to submit over 28 periodic reports to various regulatory bodies, with frequencies ranging from daily to annual reports. Each report had its own format, data structure, and deadline. The accounting and compliance team spent 40% of their productive time exclusively preparing these reports, sacrificing strategic analysis and leaving little room to verify the quality of the information before submission.

          Solution

          A Regulatory Reporting Agent was implemented, operating with an autonomous compliance calendar. The agent automatically performs the following tasks:

          • Extracts the required information directly from source systems.
          • Transforms the data into the specific format required by each regulator.
          • Executes integrity and consistency validations prior to delivery.
          • Generates the final report, ready for review by the compliance officer.
          • Maintains a historical repository of all submitted reports and proactively monitors changes in regulatory requirements to automatically update its templates.

          Results

          • 28 regulatory reports managed autonomously with 100% punctuality.
          • Team time dedicated to reporting reduced from 40% to 8% of their total workday.
          • Zero regulatory findings due to information errors over 18 consecutive months of operation.
          • The freed-up time allowed the team to develop a predictive financial analysis model that was previously unfeasible due to a lack of resources.
          Contact one of our AI experts now

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          for Mexico and Latin America

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