Should you use AI - or should you pause?
In this episode of In Good Company, AI transformation leader Paulina Bartoszek from Lingaro Group challenges the “move fast” mindset and shows leaders how to experiment responsibly without eroding human capabilities.
What’s inside:
✅ Can vs. should: why reframing the core AI question changes decisions and risk.
✅ SUP model (Speed • Utilisation • Proficiency)—why it helped early on, and why it’s not enough now.
✅ Experimentation beats restriction: making testing your guiding principle for adoption at scale.
✅ No finish line: defining success on an AI journey that keeps evolving.
✅ Protecting the human edge: avoiding cognitive skill erosion as generative tools proliferate.
✅ Data you can trust: why quality, structure, and governance are non‑negotiable for good AI.Listen / watch now to find out more.
🔔 If you like this... why not subscribe to our YouTube and Spotify channels so you never miss an episode of In Good Company?
Whether this is the first time you’ve found us or you’re a long-time listener, there's always something new to discover about human-centred organisations, leadership and learning. Join the conversation and let us know your thoughts in the comments.
To learn more about Impact, please visit: https://www.impactinternational.com
Linkedin: https://www.linkedin.com/company/impact-international_2
In Good Company on Spotify: https://open.spotify.com/show/52pryH8Tden6lJcJ2rPlPj
Dan Jones on LinkedIn: https://www.linkedin.com/in/danjones87/
Paulina Bartoszek on LinkedIn: https://www.linkedin.com/in/paulinabartoszek/
Lingaro Group on LinkedIn: https://www.linkedin.com/company/lingaro
Lingaro's article on AI adoption: LINK