RPA with Power Automate Desktop for applications that have no API.
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Power Automate desktop flows for work that can only be done on screen: desktop, web and legacy applications, including terminal emulators. Attended or unattended, on machines managed from a single place.
What we do.
From recording the process to leaving it running overnight, with someone accountable when it fails.
- Record what is done by hand today — The recorder follows the steps in the browser and in desktop applications and turns them into flow actions. The starting point is the real process, not the documented one.
- Run with no one at the screen — In unattended mode, Power Automate signs in to the machine, runs the process with the screen locked and signs out when it finishes. Overnight work no longer depends on someone starting it.
- Manage the machines — Machines are grouped to spread the load —up to fifty per group— and runs wait in a queue when all of them are busy. Who can use them is decided with roles.
- Or manage none at all — With hosted RPA, Microsoft provisions the machines in Azure and the group scales with the load. It is the option when the process matters and the server does not.
The limits, stated up front.
Platform numbers, so the design is done with them in view.
- 50 — Maximum machines per group
- 12 h — How long a run can wait in the queue before it is discarded
- 2 — Run modes: attended, with the person present, and unattended
- 1 — Automation center for runs, queues, machines and errors
Why it pays off.
Four reasons you notice in operations, not in a slide deck.
- The old application stops being a wall — Desktop flows interact through interface elements, by image or by coordinates. When there is no API to call, that is the way in, and it does not require touching the legacy system.
- You know what ran and what failed — Runs, work queues, machines and errors are on a single dashboard. A robot that fails silently is worse than having none.
- The robot has rules — Separate environments and data policies that decide which connectors it can touch. What a robot can do is defined beforehand, not after the incident.
- You automate what is worth it — Before building, process and task mining show where the time really goes. Automating a bad process only makes it faster.
What a desktop flow can work with.
What Microsoft documents that it automates, no embellishment.
- Desktop applications — From a current business application to one of the terminal emulators that still keep operations running at many companies.
- Web applications — Government portals, customer extranets and web systems that offer no integration, operated the way a person operates them.
- Excel and files — Reading and writing spreadsheets and handling folders and files, which is where half of administrative work lives.
- And the rest, in the cloud — The desktop flow is combined with cloud flows and connectors, so the same process can start in an email and end in an application with no API.
Where it already saves work.
Tasks that repeat the same way every week, which is exactly where a robot pays off.
- Reconciliations — Matching statements and transactions across systems that do not talk to each other, with the result in the spreadsheet or in the accounting system.
- Document uploads — Invoices, supporting documents and forms that today are uploaded one by one to a portal or to an application with no integration.
- Lookups on government portals — Statuses, filing numbers and validations that someone checks by hand every day, extracted and placed where they are used.
- Reports put together by hand — Download, paste, format and send: the whole process becomes a flow that runs on its own at the scheduled time.
Frequently asked questions.
What people ask before putting a robot to work.
Does it work for an application that has no integration?
Do we have to leave a computer on with someone sitting next to it?
What if the process changes?
How do we know the robot is working?
How do you decide what to automate first?
How does a project start?
Other pages on this topic.
The other pages on this topic, so you can continue wherever fits.
- Artificial intelligence for businesses — Copilot, AI agents and automation on your Microsoft 365.
- Microsoft 365 Copilot for Business — Get more out of Microsoft 365 Copilot in your company with role-specific use cases. Increase productivity and real adoption of the tool.
- Microsoft Agent 365 — The control plane for AI agents: inventory, access and protection with Entra, Purview and Defender.
- Microsoft Agent 365 features — The twelve features to observe, control and protect agents, and what is still in preview.
- AI Agents with Copilot Studio — Transform your company with AI agents and Copilot Studio. Automate processes, improve productivity, and optimize your workflow.
- Process automation — Optimize your company's productivity with process automation using Microsoft Copilot and Teams. Transform your business today.
- Connectors and MCP — Your ERP, your CRM and your in-house systems, connected to Copilot.
- Microproyectos de IA — Cotice un microproyecto de IA: una automatización acotada a un proceso, con alcance cerrado y precio total por escrito. El brief, en menos de cuatro minutos.
- CataAI — AI developers who receive their cases by email and Teams, plan them in Azure Boards and carry them all the way to production.
How many hours a month go into copying and pasting?
That is the figure that decides whether a robot pays off. If you don't have it, we work it out in the assessment.
Tell us what you want to solve
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