Not a lecture series. A 30-day transformation. Your team leaves with a working AI infrastructure — not a slide deck.
Most AI workshops leave teams with a notebook full of prompts and no idea how to integrate any of it into actual work. The tools change faster than the training can keep up. The ROI is invisible.
The real bottleneck isn't knowledge. It's the system. Teams need a working AI infrastructure built for their specific workflows — not a generic course about the latest AI tools.
Learning about AI is easy. Using AI to change how you actually work is the hard part. That's what this programme solves.
Over 30 days, your team doesn't attend a course — they build a system. Each participant maps their highest-leverage workflows, identifies where AI creates real time savings, and builds the automation themselves.
"The shift isn't about learning new tools. It's about changing how people think about what's possible in a workday." — Enzo Duit, UNHCR AI Training Programme
Not every team needs 30 days. Here are the entry points:
This approach was developed through real work — not theory. Enzo Duit delivered keynote and AI training programmes for UNHCR (the UN's refugee agency), where the constraint was: real impact, limited resources, high accountability.
If the framework works in humanitarian operations under resource pressure, it works in a commercial team with a budget.
The same infrastructure runs 3 companies from a single phone, across 4 countries, during 2 ultramarathons. That's not a claim — it's the documented experiment at agentic-living.com.
The 1-week sprint works best with 5–25 participants. The 30-day programme scales to larger teams with cohort structure. Keynote format has no size limit. Contact to discuss what fits your team.
Role-specific and evolving. The programme doesn't prescribe a fixed stack — it teaches evaluation criteria so teams can adopt whatever emerges. Current coverage includes LLM interfaces, workflow automation platforms, agent frameworks, and integration with common business systems.
No. The programme is designed for non-technical teams. The focus is on applying AI tools to real work, not building AI systems from scratch. If your team can use a laptop and a browser, they can participate.
By output. The target is 10x improvement on specific, measurable tasks — not a vague productivity claim. We define 3 measurable tasks per participant at the start, measure them at the end. If the system doesn't produce measurable improvement, the programme isn't complete.
Tell me about your team. I'll respond personally.