Artwork
iconShare
 
Manage episode 514532421 series 2794254
Content provided by ReThink Productivity. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ReThink Productivity or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Send us a text

We strip away the jargon and show how to use AI as an assist that lifts productivity, trust, and measurable outcomes. From data readiness to culture, governance to first use cases, we focus on steps that turn hype into results.

  • Clear definition of AI and human‑in‑the‑loop
  • Where AI adds value across knowledge work
  • Culture over tech as the main blocker
  • Data readiness and training data basics
  • Governance to reduce shadow AI risks
  • Leaders modelling tools and setting objectives
  • Selecting first three use cases aligned to KPIs
  • Measuring adherence to AI recommendations
  • Balancing efficiency vs productivity for trust and ROI
  • Practical rollout: owners, feedback loops, training

#theproductivityexperts
Register for the 2026 Productivity Forum
Find us in the Top 50 Productivity Podcasts
Connect to Simon on LinkedIn
Follow ReThink on LinkedIn

  continue reading

Chapters

1. Mission: Demystify AI (00:00:00)

2. Meet the CEOs and the brief (00:00:25)

3. What AI actually is (00:01:47)

4. AI at work: assist, not replace (00:02:34)

5. Culture beats tech: why projects stall (00:05:43)

6. Data readiness and training data basics (00:07:23)

7. Human-in-the-loop and trust (00:09:16)

8. Shadow AI and governance (00:10:59)

9. Picking first use cases and KPIs (00:12:06)

10. Efficiency vs productivity: finding ROI (00:14:28)

11. Leader actions and adoption mechanics (00:24:44)

12. Key takeaways and next steps (00:25:03)

297 episodes