The Operator’s Workbench
A lab where senior operators redesign the workflows AI is changing. You already use AI individually. Your team does too. But the work itself hasn’t changed yet: reporting is still manual, coordination is still painful, handoffs are still messy. That gap is what we work on.
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The five sessions
Five live online sessions of two hours, over five weeks. Each session builds one thing to be run and tested inside your company.
Every operator in the room has reporting, decision-making and people to manage. Within each theme you pick the workflow that matters in your role. During peer-sharing and team work, you see how the rest of the room solved similar processes.
Build your AI personal stack
We all dream of an EA who keeps us focused, a leadership coach on demand, and walking into every meeting already briefed. This session is where you build your personal AI stack. You’ll build one of three: a meeting prep agent that researches your next meeting and sends you a digest, a week-ahead EA that summarises what’s still open and what will need your attention, or a leadership coach that reviews how you come across in meetings and gives you feedback.
You leave with: one agent running on your real calendar or inbox.
Redesign people management
Your conversations get more human when AI takes the admin and prep around them. This session covers the processes around how you manage your team, support your boss and handle relationships from the board to clients: onboarding, performance conversations, and how your people learn. Think of a prep agent that briefs you before every 1:1 with the last month of context, open commitments and what’s still unresolved. Or a personal L&D tool that uses internal and external material to build training for each person in your team.
You leave with: one of them, built and running against your real team.
Build AI-enabled reporting and decision-making
Most of the time you spend on reporting goes into assembly, not analysis. Remember all the times you postponed a decision to gather more information, or the board deck that answered only the questions you had anticipated. When you have better ways of querying data, the time goes on the decision itself rather than the information behind it. This session is about how your company reports OKRs, how the board pack gets assembled, and how financial information is presented. Past cohorts have built weekly update assistants trained on their own leadership updates, agents that surface blockers older than 48 hours, and decision logs that update themselves from call transcripts.
You leave with: a dashboard you can question live, ready to take to your leadership team.
Redesign where your knowledge lives
Documentation stopped being someone else’s chore the moment your agents needed it to work. Your AI is only as good as what it can reach, and most of what it needs is in someone’s head, someone’s DMs, or a folder only one person can find. You’ll learn what AI needs to perform at the standard you expect, what good looks like at company level, and what’s worth taking to IT.
You leave with: your own documentation stack that your agents read from, and the context files that tell them how you work.
Redesign how your team works with agents
You now have agents running and workflows that didn’t exist five weeks ago. The question your CEO asks next is what your team looks like. This session is about the operating model underneath: who owns a workflow when an agent runs it, what to review from costs to judgement calls, what happens when AI fails, and how hand-offs work.
You leave with: an operating model for one of your workflows. Named owner, what the agent decides, where the human reviews, what happens when it breaks, and where this goes next in your function.
A company doesn’t change in five weeks.
We won’t pretend that an AI lab can do that. What changes is you. You’ll know where AI genuinely fits, what to ask your IT and data teams for, and how to build with AI. You leave with five things running that didn’t exist before, a method you can use again, and a group of peers on the same journey.
Inside each session
Concept material and theory live in async pre-work with articles, videos or podcasts. Live time is online, for building and peer-sharing.
Topic and pattern
A brief framing of the topic and the underlying AI pattern, then one case study discussed together to build common ground.
Your workflow
Map the work first: who’s involved, how it works today, where it breaks, and the outcome you want.
Build a first draft
Building starts with your peers, and you can use whatever tool fits: an agent, a scheduled task, an app, etc. We are tool agnostic. It doesn’t matter whether you mostly use ChatGPT, Claude, or Copilot.
Between sessions
Test the redesign workflow inside your company. Document what works, what breaks and the lessons learned.
Time commitment. Two hours live online each week for five weeks. One hour of pre-work per session. Two hours to test and document what works in between sessions.
In each session we test and explore how real business operations are changing in the AI era.
The cohort works in the open
Every operator keeps a participant page for the whole cohort to read: the workflows you’re redesigning, the experiments, what worked, what broke, etc. We build with each other, and there's something to learn from everyone. You share the build, not the data. Your company’s information stays with you.
What we ask of you
The programme runs five weeks. The membership runs a year.
Your seat includes 12 months of Workbench membership.
Peers to learn with
A private community of operators rebuilding how companies work for the AI era. Ask, compare, and share what you’re shipping.
Quarterly events
One workshop or meet-up with other cohort participants is organised each quarter.
Two guest seats
Bring two colleagues, free, to every quarterly event. Your team can build with you.
In their words
“I came in curious and left confident I could build something I could actually sell to other businesses. Seeing how operators in completely different industries solve the same problems was the real value.”
“Six weeks in, I've built my own AI agents, and more importantly the confidence to keep building. The hard part was never the tools. It was believing I could do it myself.”
“The Workbench gave me the right tools and community to guide our company's AI journey. As the person responsible for implementing AI internally, I was looking for a group of like-minded professionals navigating the same challenges.”
“Being in a room full of people, tackling similar challenges and feeling both heard and understood, was absolutely incredible, and new ideas for improving processes kept appearing, one after another. Thank you Eleonora Ferrero, this was absolutely amazing!”
“The Workbench gave me a supportive community where I could discuss real challenges, learn from peers, and test ideas. Just as importantly, it gave me the time, focus, and accountability to actually build the solutions during the sessions.”
“The Workbench walks you through rebuilding your internal ways of working from scratch: leaner, faster, and self-improving, using AI alongside tools you already run on. The cohorts are small and hands-on, so you end up learning as much from everyone else’s projects as your own while rebuilding a real workflow.”
Two things decide an invitation.
You change how work gets done
The Workbench is about redesigning workflows. If that’s within your reach, even just for your own team, these five weeks will be worth your time.
You already use AI regularly
You don’t need to be an expert, but you should be working with today’s tools, agents included. The cohort builds together instead of covering basics.
Request your invitation.
Every request is read personally, and you’ll hear back either way.
Request an invitation