Scrum Masters Must Learn by Experimenting When AI Joins the Agile Team | Sheik Meeajaun

Sheik Meeajaun: Scrum Masters Must Learn by Experimenting When AI Joins the Agile Team

Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes .

 

"Never be afraid to admit you don't know something." - Sheik Meeajaun

 

Sheik brings a current challenge that goes beyond one team: the gap between Scrum theory and real work when the context changes faster than the playbook. His example is AI. Scrum Masters are now asked to help teams where AI agents contribute to delivery, but no certification course can fully prepare us for that. Sheik's starting point is humility: say "I don't know," learn the domain, run small experiments, and reflect quickly. In one team, two human developers worked alongside several AI agents. They could not run a normal standup with Claude, so the team created a status report and reviewed it with the human team members. Sheik framed the agents as junior developers: useful, fast, and still requiring clear instructions, review, and guardrails. That framing helped experienced developers see AI collaboration as coaching and oversight, not as magic productivity. The key lesson is practical empiricism: try, inspect, adapt, and keep learning as the work changes.

 

In this episode, we refer to Scrumling's AI Product Owner course and the need to adapt Scrum practice to AI-enabled work.

 

Self-reflection Question: What new reality is your team facing where the honest Scrum Master answer should start with "I don't know yet"?

 

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