Robotic process automation (RPA)

Robotic process automation is used when a task still happens on the screen of an application that does not offer a stable API. CloudLab Latam designs bots for those stretches: copying data between a legacy system and a sheet, downloading a report from a supplier portal, typing movements the ERP only accepts through its interface, or completing an internal form nobody will replace this year. The bot is not the destination of the whole operation. It is the piece that covers the gap until the process can be integrated another way.

Before building, we measure. How many times a day the task happens, how long it takes, how stable the screens are, and what occurs if a field arrives incomplete. A ten-minute process that happens twice a month does not justify a bot. An eight-minute process that happens two hundred times a week can return real time to the team. That calculation, made with the process owner, avoids buying automation for a low-volume problem or for rules that change every day.

The design separates what the bot must do from what a person must still decide. Exceptions are not hidden: if the portal moved a button, if a balance does not match, or if a supporting document is missing, the bot stops, leaves evidence, and notifies someone. A bot that guesses in silence is worse than the manual process. Testing therefore includes the happy path and the cases where the screen or the data does not arrive as expected. The business team joins that test because they recognize errors technology cannot invent.

RPA is combined with Power Automate when the process has both faces. The cloud flow can receive the email, store the file, and request an approval. The bot enters only the system that has no connector. When it finishes, the flow records the result and Power BI can show how many cases the bot closed, how many returned to a person, and how much cycle time dropped. That combination is what CloudLab Latam recommends when the client is already on Microsoft Power Platform and does not want an island of bots disconnected from everything else.

Running the bot has to be boring and predictable. We define which machine it uses, which account, which schedule, and who restarts it. Credentials do not sit in a loose script. Screen changes are treated as a system change: they are tested before the daily process breaks. We leave a simple log so support can tell a bot failure from a failure of the legacy system.

The effect on people is part of the design. The stated goal is not to remove the team. It is to remove repetitive typing so that time moves to review, customer care, or closing. We talk about that with the area from the start. A bot imposed without that context is abandoned at the first error. A bot requested by the team that suffers the task defends its own maintenance when priorities compete.

Documentation includes the process map, the bot steps, the exceptions, the metrics, and the operating guide. The client is not tied to one person at CloudLab Latam. If the legacy system later gains an API, the robotic stretch can be removed and the rest of the process left on Power Automate. We design with that exit in mind so a temporary patch does not become permanent debt.

A first bot, on a stable process with access to a test environment, is usually built in two to four weeks. If you have a task that can only be done in front of the screen, request a free consultation. We will look at whether RPA, a Power Automate flow, or both are the right fit, and which metric will prove that time returned to the team.