AI agents and automation
Systems that do not just answer: they do the work
Agents that reason, query your systems, decide and complete whole tasks from start to finish.
- Whole tasks, not loose answers
- Connected to your real systems
- With oversight where it matters
A chatbot answers questions. An agent does the job: reads the email, queries the system, checks the condition, drafts the document, files it and notifies whoever needs to know.
The difference is not the model, it is the design. A useful agent needs access to your data, clear limits on what it decides alone, and a human checkpoint wherever a mistake gets expensive.
What we offer
Processes that stop needing someone behind them
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01
Agent design
We define what it decides alone, what it looks up and where it stops for human approval. Before a line of code is written.
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02
Connection to your systems
The agent reads and writes where it needs to: your management system, your email, your document store, your database.
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03
Document processing
Extraction, classification and validation of invoices, delivery notes, contracts and case files.
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04
Supervised workflows
Critical steps keep a human review. Automation is not an act of faith.
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05
Metrics and traceability
Every decision is logged: what the agent did, with which data and why.
How we work
House rules
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01
One process first, not ten
Pick the one that hurts most, automate it properly, measure it. Then extend.
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02
Failure is designed for
What happens when the agent is unsure is part of the project, not a surprise.
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03
No black boxes
You can see what the agent did at each step and why.
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04
Tested with your odd cases
The ones that break things, which are the ones that matter.
How many hours go into work nobody wants to do?
Usually more than it looks. We measure it with you.
Look at it togetherWhat we work with
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Language models
We work with the main providers and with open models. We pick per case, not per contract.
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Digitalisation Agent
Accredited under Kit Digital, with calls currently open: part of the project can be delivered against your voucher.
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Open technology
Python, PostgreSQL, Docker. Nothing proprietary that locks you in.
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Documented code
Everything we build ships with its documentation and its repository. It is yours.
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Noroeste Digital
Our own brand for hosting, domains and professional email.
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On-site work
We work remotely across Spain and come to your premises when the project calls for it.
Frequently asked questions
What is the difference between a chatbot and an agent?
A chatbot converses. An agent executes: it queries systems, decides within the limits you set and completes the task. The conversation, if there is one, is just the interface.
What if the agent gets it wrong?
That is why critical steps carry human review and everything is logged. We design what happens when the agent is unsure, rather than hoping it never is.
Does our data need to be very tidy?
It helps, but it rarely is. Preparing the data the agent needs is part of the work.
Does it replace people?
In practice it replaces tasks, not people: the repetitive ones, the copy-from-here-to-there ones and the review-documents-one-by-one ones.
Shall we look at it with your processes on the table?
Tell us how you work today and we will tell you what is worth automating and what is not worth touching.