Sprint planning has always involved balancing priorities, team capacity, dependencies, and deadlines.
AI agents add a new dimension to that process.
Instead of planning only around human availability, project teams may increasingly have agents handling research, documentation, development, testing, or other repetitive work within the sprint.
That raises an interesting question: should sprint planning tools start treating AI agents as part of the team's capacity?
I’ve been exploring Sharkly.ai around this idea. Its planning and sprint workflow brings task organization and execution into the same workspace, with AI agents able to participate alongside human team members.
For project managers, I think the interesting challenge is not simply adding AI to sprint planning, but figuring out how to plan work when humans and AI agents can both contribute to the sprint.
How would you account for AI agents when planning your next sprint?
