What Does an AI Consultant Do Day to Day?

The AI consultant role covers a wide range of work, from feasibility audits to deployment support. An overview of the daily job.

The artificial intelligence consultant is an increasingly sought-after profile among businesses that want to explore AI use cases without having the necessary skills in-house. But what does their day-to-day work actually look like?

Auditing processes and identifying opportunities

A large part of an AI consultant's work involves understanding how a business operates, its processes, and its available data, in order to identify use cases where artificial intelligence can bring real added value. This audit work always precedes the technical part of the project.

Assessing technical and economic feasibility

Once opportunities are identified, the consultant assesses their feasibility: the quality and volume of available data, the technical complexity of the envisioned solution, and the expected return on investment. This phase helps prioritize the most relevant projects rather than spreading efforts too thin.

Supporting deployment

Writing the brief for technical teams or external providers
Overseeing implementation and coordinating between stakeholders
Training and change management support for the teams that will use the solution
Measuring results after deployment

A role at the crossroads of business and technology

The AI consultant is not necessarily the one who builds the technical solution themselves: their role is often to bridge a company's business needs with the technical skills required to meet them, whether internal or external. To learn more about concrete artificial intelligence projects, read our complete guide to artificial intelligence in business and browse the projects related to artificial intelligence.