Project risks often hide in the details: someone is already over capacity, a deadline leaves too little time to finish the remaining work, or a team member’s vacation changes the plan.
Planyway AI Risk Agent, our first AI agent for Rovo, helps you catch these issues earlier.
Our AI Risk Agent analyzes your Jira and Planyway planning data to assess whether your project, sprint, or team is on track. It looks beyond issue dates and takes factors such as capacity, working schedules, time off, remaining estimates, workload across projects, and sprint timelines into account.
Use Planyway's Risk Agent to:
- Find overloaded team members and potential bottlenecks
- Check whether available capacity is enough to deliver planned work
- Identify projects, sprints, or milestones that may be at risk
- Understand what is contributing to a potential delivery problem
- Prepare for project health checks and status meetings
- Get recommendations on what risks need attention first
For example, a task might appear to fit within its deadline based on its dates alone. But if the assignee has planned time off or is already committed to other projects, there may not be enough actual capacity to complete it. Risk Detector can surface that context and explain why the work may be at risk.
Instead of manually checking timelines, workloads, estimates, and calendars, you can simply ask Risk Detector questions such as “Is our project on track?”, “Who is overloaded this week?”, or “Which milestones are at risk?”
The result is a faster way to move from spotting risks to understanding and addressing them — before they turn into delivery problems.
