Automation · AI

AI agents that automate for you

Describe what you need in natural language and let an agent code and run it. With agentic tools like OpenClaw, Claude Code or Codex, we build bespoke automations that connect to your applications via MCP, with no need for a development team.

  • OpenClaw · Claude Code · Codex
  • Connection via MCP
  • Bespoke flows

What's included

Everything your ai automation

Agents that execute

OpenClaw, Claude Code or Codex do not just suggest: they write the code, run it and keep the automation alive.

Connection via MCP

Through the MCP protocol (Model Context Protocol) we connect agents to your tools, data and APIs securely.

Cognitive tasks

Classifying emails, summarising documents, drafting replies or analysing data: work that once required human judgement.

Tailored to your operation

We design agents for what is unique to your business, not generic templates that almost fit.

How we do it

How we do it

  1. We define the case

    We pin down which task we want to delegate to the agent and which tools and data it should work with.

  2. We connect via MCP

    We give the agent secure access to your applications, APIs and data through MCP servers.

  3. The agent builds and runs

    OpenClaw, Claude Code or Codex code the automation and set it running on your infrastructure.

  4. We supervise and improve

    We monitor the results, adjust the agent’s limits and refine the flow over time.

The agentic loop

How an AI
agent works

It's not a rigid script: it's a cycle that repeats until the task is done. That's the difference between automating a single step and delegating a whole process, without your Barcelona team losing control.

  1. 01

    Perceives

    It reads your CRM, your emails and your data through the MCP servers you authorise.

  2. 02

    Plans

    It breaks your natural-language instruction down into concrete steps and picks the tools.

  3. 03

    Acts

    It writes and runs the code: it creates documents, sends emails, calls your APIs.

  4. 04

    Verifies

    It checks the result, retries if something fails and flags what needs review.

FAQ

Preguntas frecuentes

What is an AI agent?

It is an AI system that does not just respond but acts: it plans steps, uses tools, runs code and completes tasks from start to finish. OpenClaw, Claude Code and Codex are examples.

What is MCP and why does it matter?

MCP (Model Context Protocol) is a standard that connects AI models with your tools and data. Thanks to it, an agent can read your CRM, write to a sheet or call an API securely and under control.

Is it safe to give an agent access to my systems?

Yes, if done properly. We define scoped permissions, controlled environments and human oversight of sensitive actions, so the agent can only do what you authorise.

Shall we start?

Get your ai automation up and running

Tell us about your case and we'll give you a clear plan and quote, free and with no obligation.