Artificial intelligence consultancies for businesses

All three participate in an AI project, but at different stages:

• The AI consultancy diagnoses your business and defines what makes sense to automate and with what priority, before writing a single line of code.
• The development agency builds the solution once it's clear what is needed.
• The software provider sells you an off-the-shelf tool, which may or may not fit your case.

That's why consultancy is usually the first step: it prevents you from spending on development or licenses before knowing what you really need.

Not in most cases. Many projects start with the data you already have: billing, customers, emails or day-to-day documents. You don't need to accumulate large volumes to obtain useful results.

You don't need an internal technical department either: that's precisely what consultancy is for, which provides the knowledge your company lacks and accompanies you in the implementation.

A well-planned project starts with the business, not the technology. The usual phases are:

• Diagnosis: your processes are analyzed and where AI brings real value is identified.
• Use cases: opportunities are prioritized according to impact and effort.
• Pilot test: an initial solution is validated on a small scale.
• Implementation: it is deployed in day-to-day operations if the pilot works.
• Measurement and improvement: results are reviewed and adjustments are made.

Be wary of anyone who proposes a specific tool before understanding your business.

Yes, as long as the European legal framework is respected. Two regulations must be taken into account: the GDPR, which regulates the use of personal data, and the European AI Regulation (AI Act), which sets obligations according to the risk level of each system.

A good consultancy ensures that the project complies with both: what data can be used, where it is processed and with what guarantees of transparency and security.