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Artificial Intelligence & Automation

AI agents, LLMs and intelligent processes that actually reach production: assistants that know your company, automated back-office and predictive models with measurable results.

What we do

We design and implement artificial intelligence solutions that don't stop at a demo: we connect them to your data, your systems and your processes, and put them to work inside your operation. Our focus is real impact, not technology for its own sake.

We work end to end: from identifying the use case with the highest return to deployment, monitoring and continuous evolution. You don't need to know AI: we translate your business problem into a concrete technical solution.

Use cases we've already implemented

  • An assistant that knows your company: a copilot that answers questions about manuals, contracts and policies, citing its sources.
  • Back-office automation: invoices, emails and forms processed on their own, with no manual data entry.
  • Intelligent document reading: extraction and classification of data from PDFs, images and invoices.
  • Prediction and anticipation: models that anticipate demand, customer churn or equipment failures.
  • Agents that execute: systems that query, decide and complete tasks end to end.
  • Segmentation and personalization: AI that groups customers and personalizes messages so every ad dollar goes further.

Technologies

We work with state-of-the-art LLMs (Claude, GPT), RAG architectures with embeddings, tool-using agents and predictive models. We choose the right technology for each challenge, with judgment and without chasing trends.

Benefits for your company

  • Less manual work: your team drops repetitive tasks and focuses on what generates value.
  • Instant answers: information from manuals, contracts and policies available in seconds.
  • Early decisions: detect customer churn, demand shifts or failures before they happen.
  • Scalability: AI handles more volume without adding headcount.
  • Traceability: every answer and decision is backed by your own data sources.

How we take it to production

  • Assessment: we understand your process and where AI generates the most value.
  • Pilot: we validate the use case with real data before scaling.
  • Production: we integrate, secure and deploy with monitoring.
  • Evolution: we measure results and improve continuously.

Frequently asked questions about AI

We answer the most common questions before starting an artificial intelligence project.

How much does it cost to implement an AI agent?
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It depends on the use case and the integration with your systems. We always start with a short assessment to scope the project and give you a clear budget. You can start with a low-cost pilot before scaling.
How long does an AI project take?
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A pilot can be ready in weeks. A full production project usually takes between 1 and 3 months, depending on integration complexity and your data sources.
Do I need my data organized to get started?
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No. We assess the current state of your data and help you prepare it as part of the project. The assessment itself often reveals opportunities to improve data quality.
Which LLM do you use, and why?
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We work with the leading models (Claude, GPT and open source) and choose based on the case: cost, latency, privacy and performance. We're not married to a single provider; we use whichever best solves your problem.

Want to talk about your use case?

Tell us what process you'd like to automate and we'll show you how we'd do it, with a clear proposal and no smoke.

Schedule an assessment