Set the working context
Choose the business, project goal, relevant knowledge, and the people responsible for reviewing the result.
Team assignment
Give the people responsible for the outcome one shared AI workspace.
Bring team members into eligible Scale and Enterprise workspaces so projects, agent runs, questions, approvals, and deliverables have a visible place to be reviewed.
No code · review gates · work organized by business
druidx — team-management
druidx run team-management. loading business context. workspace-membership, assign eligible team members to the workspace where the business work lives. plan-aware-limits, support up to 5 team members on scale and up to 25 on enterprise under current entitlements. shared-agent-projects, keep project status and specialist work visible in the same operating surface. questions-and-approvals, surface decisions where the responsible person can review them. findings-and-metrics, keep useful run observations connected to the shared project context. 5 steps complete · output saved to Library.
review gates on, outputs keptSee plans →
Keep collaboration attached to the business work instead of forwarding outputs from private AI chats.
Teams lose context when AI work happens in individual accounts and the result is copied into another system. DruidX team assignment keeps eligible members closer to the shared workspace and its project history.
Everything the run needs, built in.
6 capabilitiesWorkspace membership
Assign eligible team members to the workspace where the business work lives.
Plan-aware limits
Support up to 5 team members on Scale and up to 25 on Enterprise under current entitlements.
Shared agent projects
Keep project status and specialist work visible in the same operating surface.
Questions and approvals
Surface decisions where the responsible person can review them.
Findings and metrics
Keep useful run observations connected to the shared project context.
Deliverables access
Collect finished work in the workspace Library for later use and handoff.
From business context to finished work.
The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.
Configure the capability
Select the appropriate agents, models, tools, connectors, and boundaries for the work.
Run, review, and retain
Inspect progress and outputs, answer questions or approvals, and keep the useful result in the workspace.
What you walk away with.
Useful outputs your team can open, share, and build on — not another stream of chat.
- Shared visibility into AI-assisted business work.
- Plan limits stated clearly.
- Questions and approvals closer to the responsible team.
- Less forwarding of disconnected chat output.
- Projects and deliverables retained in a common workspace.
Where teams point it first.
Focused project work
Apply the capability to a concrete business outcome with visible context and a defined deliverable.
Reusable team workflow
Configure the approach once, then bring it into future projects without rebuilding every instruction.
Governed automation
Use the capability inside a larger workflow with explicit logic, timing, and human review where required.
Your next move
Give your next business goal a place to get done.
Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.