AI’s set to revolutionize Agile, according to Omeyer. Just don’t forget: collaboration, adaptability, and human judgment still run the show.
Forget the thought leadership clickbait for a second. Let’s actually look at how AI might shake up Agile and what we risk if we let it run the place without a leash.
Link: How I Think AI Will Change Agile Project Management
In a recent article, Alexandre Omeyer lays out how AI could supercharge three Agile hot spots:
- Agile Planning
- Collaboration
- Continuous Improvement
It’s worth a read. But as someone who’s lived in the trenches of Agile transformations, I couldn’t resist pulling out the highlighter, and the red pen.
1. Agile Planning
AI as the all-knowing backlog whisperer? Sure, the idea of better estimates and sprint plans practically writes itself. But let’s not pretend an algorithm can handle nuance, risk, or stakeholder chaos. AI helps. It doesn’t replace.
Real Agile planning still needs human judgment, alignment, and tradeoffs. A roadmap isn’t a spreadsheet, it’s a conversation.
2. Collaboration
Omeyer’s vision here is sleek: AI agents coordinating comms, updating boards, nudging teams. Enter CollabGPT.
Here’s the catch: collaboration isn’t about keeping your Jira board up to date. It’s about trust. Psychological safety. Vulnerability. AI can assist, but it doesn’t build relationships or repair dysfunction. That’s leadership work. People work.
3. Continuous Improvement
Now we’re talking. AI-assisted retros? Code review summaries? Performance diagnostics? I’m all for it. But don’t confuse more data with better outcomes.
The heart of Agile improvement isn’t insight, it’s action. AI can point to a problem, but it takes a team with guts and humility to fix it.
Final Thought:
This isn’t a call to block AI from your Agile workflows. It’s a call to lead them. AI is here, and it’s not going anywhere. But as the hype rolls in, stay grounded. Agile isn’t just a method. It’s a mindset.
Let AI sharpen your tools, but don’t let it replace your thinking.
