Your team has 40 AI ideas and zero AI adoption strategy. Here’s the fix.

This week’s Good Read is a guest post by Datentreiber Benjamin Di Lorenzo on the Miro blog, with a clear message: Stop experimenting with AI. Start employing AI. With the Catalyst, he presents a free-, easy- & ready‑to‑use AI tool that helps you identify, prioritize and evaluate AI use cases.

Here’s what you’ll learn from his post:

💡 Why most companies get stuck between “we should use AI” and actually doing it

💡 How design thinking, not more data science, solves the AI adoption problem

💡 A walkthrough of the Catalyst, the Miro sidekick that turns business context into ranked AI use cases

💡 An AI use case prioritization framework you can run with your own documents

💡 Why we built this on a visual, collaborative canvas instead of a plain chatbot

Read the full article “Your team has 40 AI ideas and zero AI adoption strategy. Here’s the fix.“:

👉 https://miro.com/ai/ai-adoption-strategy/

Related Articles

A Love Story: Miro+Lovable

I saw it for the first time in New York at Miro’s Canvas 25 conference: a Miro board was instantly turned into an app in Lovable—impressive! Last week, Miro asked me if I would like to test the MCP integration Miro+Lovable myself—as one of ten community members worldwide! Of course, I said yes. In this blog post, I’ll share my journey, my learnings, and, of course, the result: a ski race app. ⛷️

Responses