AI organisation and governance

AI organisation and governance

AI transformation is about an application that works. This area of expertise is about the organisation around it. Which tasks shift between people and systems? Who decides on use and limits? And how do you comply with the rules without the work getting stuck in them?

Do you recognise this?

Dozens of AI applications are already running in our organisation. Nobody has the overview.

We know the AI Act sets requirements. We do not know what that means for how we are organised.

AI is taking over tasks, but roles, processes and responsibilities are still the same.

AI is not a stand-alone application. It redistributes work, information and decisions throughout the organisation. That is why AI belongs in the design of the organisation itself: in its processes, its structure and its governance.

Dividing tasks between people and AI

We map which tasks AI takes over, which it supports and which it must not touch. That has consequences for roles, for how work is grouped and for craftsmanship. We take those consequences into account deliberately, instead of discovering them afterwards.

Decision rights, oversight and responsibility

Who owns an AI application? Who monitors how it works, who intervenes when it goes wrong, and where does human judgement remain decisive? We set this out in roles, mandates and procedures that connect with your existing governance.

Complying with the AI Act

The EU AI Act sets requirements for AI literacy and transparency, and for oversight and documentation of high-risk applications, such as AI used in recruitment and selection. For most applications, those latter requirements take effect in December 2027. That is closer than it seems. We translate the requirements into your organisation, so that compliance becomes part of how you work.

Psychodynamic. With AI there is a temptation to place responsibility with the system. Good organisational design makes that temptation visible and keeps responsibility with people.

Systemic. AI governance only works if it connects with existing governance. A separate AI regime alongside the line becomes a paper reality.

Human-AI. People and AI strengthen each other as long as the division of roles is clear. I design that division explicitly, per process and per decision.

Plan an exploratory conversation

You know where AI works in your processes and where human judgement decides. Data, oversight and responsibility are clearly assigned. You comply with the rules without the work getting stuck in them.