A one-day, in-person workshop in the first AI-native venture studio in Italy. Morning for context, afternoon for building.
From the people building real AI products in Italy, not the ones writing about it.
The AI Transformation Workshop is a one-day session at KVA’s studio in Turin for companies that want their team serious about AI. The morning covers where this technology is and how it got there, with honest coverage of what’s real and what’s still hype. The afternoon puts everyone in front of the tools, with our team on hand to pair through practical exercises.
We built this workshop because KVA is Italy’s first AI-native venture studio, for two years we’ve been shipping AI products for our own portfolio, and we found that most of what’s offered elsewhere stops at theory or at case study slides. What we bring into the room is what we actually use every week: the tools, the patterns, and the failure modes we’ve lived through.
Eighteen seats per edition. We run the day in English or in Italian, depending on who’s in the room.
Not “awareness”, not “exposure to AI”. Three capabilities verifiable the Monday after.
By the end of the morning you'll be able to look at a new AI announcement, model, or product and locate it honestly, what it actually does, what's still brochure, what's worth your attention. The map we give you works against anything launched in the next twelve months.
Block three teaches the loop, prompt, compile, deploy, look at it, not a tool. By 16:30 you'll have used Claude Code on real problems, deployed to Vercel, and seen where the workflow breaks down and where it holds. The habit transfers to whatever comes next.
By block four you'll have the questions to ask before any serious commitment: evaluation frameworks that actually catch failure, adoption patterns that work inside real orgs, commercial models that don't lock you in. Enough to push back on bad proposals from vendors, consultants, and your own team.
Morning to think, afternoon to build, with enough of us in the room to pair with everyone during the second half. We keep the timings honest: if a block runs long, the next one shortens. Coffee throughout, long lunch, one short break mid-afternoon. Four people we trust join in from outside the room, at the points where their perspective matters most.
A working history of the last decade, from ImageNet through transformers, scaling laws, and whatever landed in the weeks before the workshop. We start here because most people are carrying around a mental model from 2022 and it shows. Opens with a contribution from Giancarlo Ruffo, who has been researching data science and complex networks at the University of Turin since before most of us knew the word "algorithm".
Evals, agents, long-context retrieval, the gap between benchmark and product. We'll show you the specific failure modes we've run into shipping our own ventures. Midway through, a contribution from Pierfrancesco Beneventano, postdoctoral researcher at MIT, on agents, ML theory, and what the research edge actually looks like from the inside.
Catered, no laptops. Nobody gets pitched.
You bring a laptop and an idea of what you want to build. We set up your environment, we pair with you, and you leave with a deployed URL and a repo that is actually yours. The point is the loop, prompt, compile, deploy, look at it, not the finished product.
What happens when the prototype has to survive a real org, a real customer, a real P&L. Two contributions frame the conversation: Valter Pasinato, CRO at Interlogica with a decade at Google Cloud, AWS and Microsoft behind him, on enterprise adoption. Leonardo Mercanti, Client Partner at Spotify, on commercial models and platforms. Then open questions until 18:00 sharp.
Federico, Carlo and Alberto run the day in person. Five video contributors appear in the blocks where their experience is the one worth hearing, and nowhere else.
Managing Director, KVA · Faculty, ITS Torino
Runs the day from start to finish. Has been the one actually shipping the ventures we talk about, the person you want in the room when the deploy fails at 16:22.
KVA · Build & production
Pairs with you through the afternoon build and stays on through the production block, setting up environments, unblocking deploys, and answering the awkward questions about what survives contact with a real P&L.
KVA · Context & state of the field
Co-leads the morning. Brings the long view on where the tech has actually been, and a low tolerance for the mental model most people are still carrying around from 2022.
Computer Science, University of Turin
Opens the morning with a working history of the field, data science and complex networks, from before most of us knew the word “algorithm”.
MIT · ex-Princeton (PhD)
Joins mid-morning with the research view, what models are actually doing under the hood, in language that doesn’t flatter the audience.
GraphAware · Manning co-author · PhD, Politecnico di Torino
Works on the technical layer most AI talks gloss over: how to make LLMs reason on top of real, structured enterprise data.
Interlogica · ex-Google Cloud, AWS, Microsoft
Frames the afternoon on enterprise AI adoption, procurement, pilots, the part where someone asks about the bill.
Spotify · ex-TikTok
On commercial models, partnerships, and the difference between a platform relationship and a vendor one.
The Workshop runs as a series. The format stays the same , morning for context, afternoon for building , but the examples, the outside contributors and the conversations are tuned to the people in the room.
The broadest edition, one working day on the tools, patterns and trade-offs that show up in any organisation starting to ship AI seriously. Product, operations and engineering leads welcome.
Same format, tuned for banks and insurance carriers. We look at what makes AI rollout credible to a risk committee, data lineage, eval regimes, and the distance between a prompt that works and a control that survives audit.
Tuned for family-owned and mid-market operators. Pragmatic, lightly technical, more about what to delegate to AI, what to keep in human hands, and how to staff a small internal capability without bloating headcount.
Two recent examples, in the words of the people who shipped them.
I joined KVA from a more traditional consulting background, expecting to keep doing what I’d done before, running strategy projects, writing reports, presenting findings. Instead I ended up building things I would have outsourced in any other job: prototypes for clients, internal tools the team actually uses, a dashboard I shipped in an afternoon to track our portfolio. What surprised me most was how quickly the gap closed between having an idea and having a working version of it. I still write strategy when it’s needed, but now I can also build the thing the strategy is about.
I joined KVA as a writer, and before long I found myself doing things I never thought I’d be able to do: building websites, working with CMSs, shaping brands, handling deploys. What surprised me most was how naturally I picked up tools like Claude Code, GitHub, and Vercel by working directly on real projects. To me, vibe coding is about speeding up your work by learning as you go, where the real limits are less and less about technical specialisation and more and more about vision, taste, and your ability to be surprised by what you can build.
The Workshop also runs as a small-team format, with progressive discounts from two seats up, and as a private edition dedicated to your company. One combined invoice, shared onboarding call, priority seating during the hands-on block.
If yours isn’t here, write to us, we answer in a day, usually the same afternoon.
Eighteen seats, one room, the tools we actually use. If that sounds like the kind of Friday you’d want to give up, the rest is paperwork.
14 of 18 seats remaining · Full refund until 01 May · Transferable after
