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Automation and applied AI

We integrate AI and automation where they solve a measurable problem: saving time on repetitive tasks, extracting useful information from documents, building assistants that actually know your business. No spectacular demos, no magic promises, just use cases measured in hours saved and errors avoided. An engineering firm we work with automated data extraction from 200 technical reports per month, reducing entry time from 12 hours to 45 minutes per week. The assistant we built also retrieves the right references from their document base in natural language. Every project starts with an honest audit of your processes to identify what is genuinely worth automating, before investing a single euro in technology.

Generative AI has made a lot of things possible in two years, but most failing projects start from the wrong question. "How do we put AI in our tool?" is not a strategy, it's a technology purchase. The right question is the opposite: "Which tasks cost us the most time, focus or errors, and which can be delegated to a machine without losing quality?" We always start with that scoping: audit of your processes, identification of highly repetitive or low-value tasks, honest assessment of what AI can actually automate today and at what cost. Then we build concrete solutions: business assistants connected to your documentation and databases, automatic information extraction from invoices or contracts, classification and routing of incoming requests, draft generation reviewed by a human. Your data can stay in France or on-premise depending on your confidentiality constraints, and we explain trade-offs without sugar-coating.

What we offer

Custom business assistants
Assistants connected to your documentation, procedures and databases. Your teams ask a question in natural language, the assistant answers with the right sources. Not a generic chatbot.
Document extraction and processing
Automatic reading of invoices, purchase orders, contracts, forms. Key data extraction, quality control and injection into your business tools. Immediate time savings on high-volume flows.
Workflow automation
Classification and routing of incoming requests, smart notifications, report generation, cross-tool synchronization via n8n, Make or custom connectors depending on requirements.
Private LLM integration
Integration of language models (GPT, Claude, Mistral) into your applications with strict data control. Models hosted in France or on-premise for sensitive projects.

Who is it for?

SMEs with repetitive tasks
Invoice entry, order processing, email classification, manual reporting: if your teams spend hours per week on tasks with no intellectual value, there's a quick ROI to aim for.
Organizations with large document bases
Engineering firms, consulting practices, legal departments, customer service: an assistant that finds information in your thousands of documents can replace hours of daily search.
SaaS vendors wanting to integrate AI
You want to add AI features to your product without turning them into a gadget. We help you choose the right use cases, architecture and cost model.

Our approach

  1. 1

    Use case scoping

    We audit your processes and identify tasks where automation and AI bring measurable gains. We honestly discard paths where effort exceeds benefit.

  2. 2

    Quick proof of concept

    Before any costly commitment, we validate feasibility, response quality and ROI on a limited scope. If the PoC isn't convincing, we stop, no hard feelings.

  3. 3

    Industrialization and integration

    Once the PoC is validated, we industrialize: IS integration, response monitoring, guardrails, error handling, scaling. This is where AI solution robustness is decided.

  4. 4

    Measurement and continuous improvement

    An AI solution doesn't freeze at delivery: we track response quality, edge cases, model evolution and regularly adjust prompts and source data.

Technologies used

OpenAIClaudeMistralLangChainLlamaIndexPythonn8nMakePineconeOllama

Frequently asked questions

A technical challenge on this topic?

Let's discuss your context, we'll tell you what's feasible.