At Urudata Software, we continue to explore new ways to incorporate artificial intelligence into our work processes.
With this goal in mind, we recently launched AI in action, a series of short remote sessions where our technical team members share AI tools, experiences, and resources with the rest of the team that can be applied to everyday tasks.
Each session lasts approximately 30 minutes and aims to share practical knowledge, showcase specific use cases, and generate new ideas that can be put into practice across different teams and projects.
Your next user manual is written by AI
In the first session, Maximiliano Rial, Chief Product Officer, presented a way to use AI agents to generate user manuals by exploring an application.
The idea is to delegate much of the documentation process to an agent: navigating the system, identifying the steps required to complete a task, capturing relevant screenshots, and writing the corresponding instructions. The result is a document that can then be reviewed, edited, and adapted to each client’s documentation formats.
During the demonstration, Maximiliano showed how to apply this approach to Qflow, our BPM tool, generating a step-by-step manual for starting a process. He also explored its use with other systems, showing how an agent can document features by navigating their user interfaces.
One of the key points was the possibility of standardizing this work through skills: instructions that define the structure, style, and criteria the agent should follow to produce consistent documentation.
Power BI + AI: fewer clicks, more reports
In the second session, Santiago Martínez, Chief Consulting Officer, explained how to combine Power BI with artificial intelligence tools to speed up the creation of reports and dashboards using existing data.
The goal was not to teach Power BI from scratch, but to show how an agent can assist with much of the process: from working with an Excel file and preparing the data to building visualizations, generating measures, and configuring filters to create an interactive report.
During the demonstration, Santiago showed how to produce a functional report with minimal manual intervention, using the context and instructions provided to the agent to guide the solution’s development. He also highlighted that faster generation does not eliminate the need for review: data, calculations, and visualizations must all be checked for accuracy.
The aim is to make the most of these capabilities to simplify workflows and dedicate more time to analyzing information and generating insights that support decision-making.
Sharing experiences to keep learning
The first two AI in action sessions showed how artificial intelligence can be incorporated into specific tasks, from application documentation to report creation. Beyond the tools themselves, these sessions also provide an opportunity to share knowledge, explore new possibilities, and learn from the experiences of other team members. The series continues with new ideas and use cases.
