AI Teammates
AI teammates built into real workflows.
Give recurring coordination work a consistent operator while your team keeps control of permissions, review and decisions.
Stark Intelligence
Three signals need attention
3 dependent tasks remain unfinished
Design approval historically takes 4.2 days
Sarah is above recommended capacity
Explainable by design
See what Stark used to reach a recommendation.
Recommendations can draw on deadlines, dependencies, task age, workload, recent activity and historical patterns so teams can inspect the context before acting.
Ask Stark
What could delay the September launch?
Three signals need attention.
- 1. Design approval is 3 days behind its normal cycle.
- 2. Mobile QA depends on two unfinished frontend tasks.
- 3. Sarah is assigned 126% of recommended capacity.
Recommended action
Move QA preparation to Alex and request design approval today.
Deadline context
Understand urgency relative to milestones and dependent work.
Dependency signals
Trace blockers into the tasks and projects they could affect.
Workload context
Account for team allocation when recommending priorities or dates.
Activity patterns
Use recent project behavior to summarize change and highlight anomalies.
Action suggestions
Recommend concrete next steps instead of producing generic summaries.
Human control
Keep approvals and consequential actions inside configured workflows.