Once AI moves from answering questions to carrying out tasks, the first thing to change is not the tooling — it is the workflow and who gets to decide.
This is an in-house seminar written for managers and technical leaders. We take the AI supply chain in its full complexity — hardware, foundation and open-source models, the application layer, physical robotics — and translate it into language a decision-maker can weigh and act on. The focus is what Agentic AI actually does to org structure, workflow and career paths, not an introduction to yet another tool.
The difference is not a smarter model. It is that the model starts occupying space that used to belong to your processes and your people.
Where that line falls decides your headcount plan and your training budget for the next cycle.
The bottleneck is rarely skills. It is data quality, undocumented processes and unclear ownership.
| 00–08 min | Why now | From AI that chats to AI that acts: what actually changed this year. |
| 08–20 min | The AI supply chain in full | Hardware, foundation models, open-source models, the application layer, physical robots — buy now or wait. |
| 20–36 min | The three things that really change | Task allocation, where decisions and accountability sit, and the capabilities a team has to add. |
| 36–48 min | A real case | Middle East financial services and urban air mobility: the hard part is rarely picking the model, it is the data and the process. |
| 48–56 min | Seven questions a decision-maker should ask | A checklist you can take back and use as it is. |
| 56–60 min | Q&A | Open floor. |
Tell us your company, who will be in the room and the slots that work. We reply within one working day and attach an agenda you can forward internally.
YUDA Consulting is registered as a management consultancy. This seminar shares industry perspective and does not constitute investment, legal or tax advice.