“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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About Sheik Meeajaun
Sheik is a seasoned product and Agile leader with over 20 years of experience scaling innovative, customer-centric digital solutions. A certified Scrum and Agile expert, he bridges strategy and execution, driving high-performance teams at enterprises like Rabobank and citizenM. As a hands-on builder, Sheik created Scrumling—a free, interactive Agile training platform—and ScrumJobs.net, a niche job board for Agile professionals. His passion lies in transforming theory into impactful, real-world results.
You can link with Sheik Meeajaun on LinkedIn.
You can also explore Scrumling, ScrumJobs.net, and Simatech.
