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Process automation where your people already work.

Optimize your business processes with AI and RPA to improve productivity, reduce costs and digitally transform your company.

Copilot adopted by role, agents inside Teams that read from your SharePoint with each person's permissions, and our MCP connecting your business systems so they answer from the same place where the question is asked.

Process automation where your people already work.

Tell us what you want to solve

Three things that change day-to-day work.

It is not automation for its own sake: it is the tool ending up where the work already happens.

Results with a published case study.

Every figure comes from a project you can read about in our case studies.

What it's built with, and what each piece is for.

Six Microsoft pieces, and one of ours, working on the tenant you already have.

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Applied to your department.

Four places where this is already doing work that a person used to do by hand.

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Frequently asked questions.

What we are asked before putting an agent to work on the company's documents.

How do you keep an agent from showing what it shouldn't?
Agents read from SharePoint with each person's permissions. No one gets a document through an agent that they could not open on their own.
Who is accountable for what an agent does?
Every agent has an owner, scoped permissions and traceability through Agent 365, just like an employee. You know who created it, what it accesses and what it has done.
What is the Arcetec MCP?
It is the standard Microsoft adopted to connect agents with business systems, and we already run it. It lets your systems answer from Copilot without building an integration for each one.
How do you adopt Copilot so it doesn't go unused?
By role, not by license. The specific tasks of each profile are identified, use cases are designed and the team is supported until it becomes part of their daily work.
Do I have to migrate all my data to use Fabric?
No. OneLake links your sources where they already are, through mirroring, shortcuts and connectors, and makes them ready for dashboards and artificial intelligence without moving them.
Which sources can you connect?
On-premises SQL databases, Excel and CSV files, ERP systems and the business applications you already use. Each one comes in through the path that suits it.
Who keeps the dashboards?
You do. The pipelines, the model and the dashboards are built on your own platform. The information does not move to any service of ours.
Can I apply artificial intelligence to my data?
Yes, with Azure AI Foundry on the same platform. The difference is that it works on your real data, not on a demo dataset.
How does a project start?
With an unscripted conversation, a focused assessment that leaves us with a map, and an agreement with fixed scope and price before signing. Then comes a pilot with real people using the solution in their work, and finally production with support.
How do you charge?
Fixed scope and price after the assessment. Cloud consumption is billed separately, in pesos at the day's official exchange rate (TRM), and managed services are contracted by monthly capacity.

Other pages on this topic.

The other pages on this topic, so you can continue wherever fits.

What does your team do by hand that an agent could already do?

You don't need to bring a defined project. If you tell us what your team repeats every week, we have a place to start.

Tell us what you want to solve

See case studies

Artículos sobre artificial intelligence

Topic:Artificial intelligence