What is the challenge? |
Cross-team dependencies are difficult to see and track in real time. Signals like rising work-in-progress, increasing cycle times, and scope churn are scattered across delivery tools, causing emerging dependency risks to go unnoticed until they block work. |
What is the impact? |
Late risk detection leads to delays, rework, and missed commitments. Teams get blocked without early warning, cycle time variability increases, and release predictability suffers. |
Describe your idea |
A scheduled AI-driven agent aggregates dependency data from across our account, maps relationships across epics and features, and continuously monitors leading indicators date conflicts, WIP spikes, cycle time increases, and scope churn. It flags high-risk dependencies and pushes inline alerts with recommended actions to enable earlier mitigation. |
