Staging environment

From company objectives to AI execution plan

Hosted by Eleonora Ferrero and Ro Mascia

62 students

In this video

What you'll learn

A framework linking business objectives to AI work

Four stages to cascade your company's goals into executable AI work.

Ranked AI priorities for your company

You will identify goals, bottlenecks, and use cases, then score and order them before the hour ends.

Instructions to build your own AI analyst

Rebuild the analytic tool inside your own enterprise walls (in ChatGPT, Claude or Copilot) to use real names and numbers

A dashboard for the internal conversation

A lovable dashboard that's interactive and shareable.

Why this topic matters

We are bringing this hands-on workshop to our network because boards are asking leadership teams to build AI-first organisations. This session covers the steps between a list of tools and a real AI plan. We'll guide you to connect your company goals to an executable AI strategy. You will spend most of the session vibecoding and building with AI, and leave with a framework and a dashboard to present to your board and company.

You'll learn from

Eleonora Ferrero

Ops & Strategy in tech. Founder The Operator's Workbench. Ex. Deloitte

Eleonora is the founder of The Operator's Workbench, a lab where senior operators redesign the workflows AI is changing.
She started her career in consulting (ex Deloitte), and spent 10 years in tech companies (Seed to Series B).
Former Chief of Staff at Lokalise and Director of Operations at Evolution AI, she implements concrete fixes to the operating model that combine structure, behaviours, and AI-enabled workflows so teams can execute on the strategy and run lean.

Ro Mascia

Founder & Strategic Advisor at Realign. AI Business Analyst

Ro Mascia helps businesses turn AI interest into practical investments. Through Realign, Ro works with leaders and teams to identify where AI can improve operations, reduce friction, and support better decision-making. Ro brings strong technical capability across data, AI strategy, agentic workflows, and business modelisation translating complex possibilities into clear, actionable starting points for operational teams.

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