Agent-native project ops
Attention appears to be shifting from human coordination tools to agent-native execution layers, but the workflow still breaks at permissions, APIs, and other bottlenecks that force human intervention.
The strongest evidence says AI agents are taking on more admin work in project management, yet adoption remains constrained by API, permissions, and workflow bottlenecks.
Limitation: This is directional, not definitive; the evidence does not show full end-to-end automation.
Questions worth asking
Question: What changed in project management workflows?
Answer: The available signals point toward agents handling more admin work, while humans still step in where systems, permissions, or workflows do not connect cleanly.
Question: What is still holding adoption back?
Answer: The evidence points to API, permissions, and workflow bottlenecks that keep projects from moving fully to autonomous execution.
