These are the situations in which we fill data and AI roles.
We find experts who build the data platform and the team from the ground up.
We find experts who make models and agents production-ready, monitor them and steer them.
We fill governance and leadership roles, permanent, interim or fractional.
These are the roles we fill.
Which data or AI role do you want to fill?
Six questions we ask every data and AI expert.
“Which of your projects went from pilot to production, and what did it take?”
“In your last project, how did you check whether the data was fit for the model?”
“What is your agent allowed to do without approval, and how do you notice when it does something it should not?”
Our test: We present an AI answer with a plausible but real error. Strong experts find it.
“Your model prepared a wrong decision, and it went out. What do you do?”
“What did your last use case change in the business unit, and how did you measure it?”
In the final selection, we add an EFPA-certified aptitude assessment and, on request, a placement on the Polydigital Ladder, our method for AI competence.
The method is described in our playbook →How we fill data and AI roles.
Permanent placement fits roles in a permanent data or AI team.
Example: A company is building its first data platform team.
Interim fits projects and transition phases.
Example: An AI project is about to go live, and technical leadership is missing.
Fractional fits when you need experienced data or AI leadership without a full-time role.
Example: A mid-sized company sets up its AI agenda with a Head of AI two days a week.
How AI is changing the roles in your area.
Our playbook shows which roles determine whether a transformation succeeds and how to fill them in time.
Are you a data or AI professional? Register for permanent, interim or freelance projects.
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