Given the demand for a remote and shorter version, we’ve redesigned the format to keep the hands-on, practical spirit while making it work beautifully online—turning our full-day in-person workshop into a two-module digital experience, guided by partners and AI experts Yulya Besplemennova and Roberta Tassi.
First edition: 17 & 19 November, 15:00–17:00 CET (Zoom)
Just like the offline Bootcamp, we’ll share our approach to conscious and responsible AI design and help you ideate opportunities for your processes and services using our toolkit. Splitting it into two sessions helps online focus and gives you prep time to get the most from the practical part.
We’ll share our tested framework, distilled from years of AI-related projects: a way to think about AI with purpose and awareness, from opportunity definition to impact measurement.
Topics we’ll discuss together:
Human–AI cooperation today (beyond classic HMI; the GenAI shift)
What AI can do: patterns across automation / assistance / augmentation
How AI appears in services: not only chatbots, from invisible presences to the entities
How it affects services & processes: value chain examples end-to-end
How we design & evaluate: our Triple-O framework, scoping → orchestrating → measuring impacts
You’ll leave with our canvas + card decks to prepare for Module 2.
We’ll guide you through the AI Opportunity Landscape to map your value chain/workflow and identify & prioritize your most valuable AI opportunities. We’ll use our AI functionality cards (public) and a GenAI add-on set as building blocks to shape concrete use cases. Expect an intense, collaborative session: deep work on your case, plus learning from others.
What you’ll get
Your AI Opportunity Landscape (mapped value chain + ideas of AI application)
A prioritized backlog of use cases to take forward
A concise playbook, our canvas, and cards for future internal sessions
Newsletter perk: as a thank-you for reading, use code PROMO10 for 10% off.
Questions or team bundle? Reply to this email—we’ll help you pick the right option.
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