Everything You Need in One Place!
Reports, diagrams, live analysis, and a full trace of everything an agent did — all in the same place your team already works.


2026-09-03 → 2026-09-10 142msstatus = 'Blocked' ORDER BY priority 218mslaunch|blocker|incident|escalation 94ms/Shared/Sales/pricing_q2.pptx 186msFrom request to finished work.
One orchestrator. Multiple specialists. Parallel execution. One deliverable.
Understand. Maintains context across conversations, sessions, and ongoing work.
Plan. Breaks complex objectives into tasks and determines what needs to happen.
Act. Uses connected enterprise apps to search, create, communicate, and execute.
Deliver. Returns finished work — reports, documents, messages, decisions, and actions.
Work Doesn't Start Over Every Morning.
Enterprise work spans multiple conversations, users, documents, and weeks. Persistent agent workspaces preserve the context required to continue the work — not treat every request as a blank slate.
Shared file system. Files, folders, and outputs shared across chats, projects, and people.
Continues where you left off. Pick up Monday's analysis on Thursday with all context intact.
Team-wide access. Multiple users and agents collaborating within the same workspace.
Analyze the latest sales data from our warehouse and create a summary by region.
Agent & user shared filesystem — files persist across all conversations
Built for enterprise. Designed for control.
Powerful enough for complex workflows. Observable enough for production.
AI Shouldn't Just Answer Questions.
It Should Own the Work.
Most enterprise AI is still a chatbot: ask a question, get an answer, copy the result, switch apps, take action — manually. That breaks down the moment work spans multiple systems.
The Chatbot Era
Four manual handoffs before anything is finished — and you are every one of them.
- 1 Ask a question
- 2 Copy the result
- 3 Switch apps
- 4 Take the action yourself
You are the integration layer.
The AI Workforce
One request in, finished work out. The handoffs happen without you.
- ✓ Understands the request
- ✓ Works across your systems
- ✓ Coordinates specialists in parallel
- ✓ Returns finished work
AI is the integration layer.
Frequently Asked Questions
Common questions about Agent Workspaces.






