Question 1

How can AI improve my business processes?

Accepted Answer

AI automates repetitive tasks (document classification, data extraction, customer responses), analyzes large data volumes for prediction (sales, maintenance, churn), and boosts team productivity through specialized AI assistants. ROI is typically visible within 2-3 months.

Question 2

Do I need a lot of data to start an AI project?

Accepted Answer

Not necessarily. Modern LLMs (GPT, Claude, Mistral) work without specific training data thanks to fine-tuning and RAG (Retrieval Augmented Generation). For computer vision or prediction, a few hundred examples are often enough for a first viable model.

Question 3

What's the difference between a chatbot and an AI agent?

Accepted Answer

A chatbot answers predefined questions within a limited scope. An AI agent is autonomous: it can search for information, execute actions (send emails, modify an ERP, generate reports) and coordinate multiple tools to accomplish complex tasks.

Question 4

Is AI secure for sensitive data?

Accepted Answer

Yes, with the right architecture. We deploy on-premise models or on private clouds for critical data, with end-to-end encryption. For less sensitive cases, cloud APIs (OpenAI, Google) offer contractual guarantees of non-use of data.

Question 5

How much does an AI project cost?

Accepted Answer

An AI POC (proof of concept) starts at around 3,000 USD for a targeted use case. A production deployment with system integration, monitoring and maintenance ranges from 10,000 to 40,000 USD depending on complexity. We always start with a diagnostic to identify the highest-impact use case.

Artificial Intelligence

The conversation, the intelligence

What we do

For whom

Our expertise

Discover our Artificial Intelligence projects

Ready to structure your transformation?