Who runs the workshop
Adoption is the hard part. That's the part I've done for 20 years.
Jonathan Malkin has spent two decades getting enterprise teams to actually use new technology, not just buy it. The workshops teach the AI workflows he already runs every day.
Where the credibility comes from
Eight years inside the last big automation wave
From 2017 to 2025, Jonathan watched RPA move from one-off departmental wins to governed, federated programs. The tools are newer now. The hard questions, adoption, ownership, exceptions, and governance, are very familiar.
That work crossed functions and borders: banking, airlines, and telecommunications; teams in the United States, Germany, and Brazil. Jonathan lived in Sao Paulo for five months in 2012, so working across cultures and time zones is practical experience, not a slide-deck abstraction.
What that means for your workshop
The workshop teaches what already works in production
Jonathan runs his own AI operating system across research, content, coding, scheduling, review, and memory. The consulting point of view comes from systems he actually uses, not slides.
Understand the real work
Sit with operators and map the actual workflow before touching a tool. Most AI projects skip this and fail here.
Decide what AI should touch
Automate, govern, delegate, or leave human. Make ownership explicit and keep a person in the review path.
Build the smallest useful thing
Ship a working build that proves the pattern and survives after the demo, not a throwaway proof of concept.
Proof, not theory
Built in public, demoed live
In April 2026, Jonathan gave an AI Tinkerers demo of Jules, his AI collaborator system. AI Tinkerers is a builder-first room: live systems and technical scrutiny over polished positioning.
Let's talk
Want your team building with AI, not just talking about it?
Tell me about your team and what's slowing you down. I'll help shape the right session, on your real work, in your industry.