AI Automation Transforms Yelo Bank’s Management Reporting Presentation Preparation, Reducing Time by Over 90%

Nihad Gurbanli

We used Anthropic Claude to automate key steps in Yelo Bank’s management reporting presentation preparation. The solution significantly reduces the time and manual effort required to turn prepared reporting data into a management-ready presentation. Overall, presentation preparation time has been reduced by over 90%, while the Finance team retains control over review and validation.

About the Client

Yelo Bank is a commercial bank headquartered in Baku, Azerbaijan, tracing its roots back to 1994. The bank operates under a general banking license from the Central Bank of the Republic of Azerbaijan and offers a full range of retail and business banking services, including deposits, consumer and business loans, payment cards, and digital banking through its mobile app.

The Problem

Each month, Yelo Bank’s Finance Department prepares a management reporting presentation based on a significant volume of financial and performance data.

Turning the prepared reporting data into a structured management presentation required substantial manual effort: identifying and transferring the required figures, checking their consistency, updating presentation materials, and ensuring that the final output provided a clear and coherent view for management.

The presentation preparation process was repetitive and time-consuming. The opportunity was therefore to use AI to streamline this stage of management reporting, reduce repetitive manual work, and accelerate the production of a management-ready presentation.

How the Project Was Organized

The project was rolled out over five weeks.

The first week focused on reviewing the existing reporting files and presentation structure, understanding the reporting logic, and identifying the key data required for the management presentation.

In the second week, the team designed the data processing workflow and began developing an extensive reporting presentation with key findings, summaries, and management-level takeaways.

The third week was dedicated to developing the AI-driven logic powered by Claude — defining the rules and models that allow the solution to identify and process the required reporting values and translate them into the appropriate presentation structure.

In the fourth week, the automated presentation preparation process was tested in parallel with the existing approach, together with the bank’s team, to validate the results in practice.

The fifth week wrapped up the project, and the solution went live.

What We Built

A solution built on Claude that:

  • Identifies and processes the required values from the prepared reporting data;
  • Applies predefined reporting logic and consistency checks, flagging potential discrepancies for review;
  • Structures the relevant information for management reporting;
  • Generates a ready-made management reporting presentation, significantly reducing the need to assemble and update it manually each month.

The solution automates key steps between prepared reporting data and the final management presentation, reducing repetitive manual work and making the presentation preparation process significantly faster and more efficient.

The Result

The automated solution has significantly accelerated the preparation of the management reporting presentation and reduced the manual effort required at this stage.

Overall, presentation preparation time has been reduced by over 90%, while the Finance team retains control over review, validation, and the final reporting output.

The solution has been running in production since the beginning of September 2026 and is now integrated into the bank’s monthly management reporting process.

Closing Thoughts

Preparing management reporting presentations can require significant manual effort, particularly when teams repeatedly transfer, validate, structure, and present large volumes of financial information every month.

With Claude, Yelo Bank streamlined this part of the reporting process by automating repetitive presentation-preparation activities and turning prepared reporting data into structured management reporting more efficiently.

The result is a faster and more efficient process that saves time, reduces manual effort, and supports consistency while maintaining Finance control over the accuracy and quality of the final reporting output.

If you're facing a similar challenge, get in touch with us — we'd be glad to talk through how a similar solution could work for your team.

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