Project Management Agent
Schedule and risk analyst
Tracks milestones and dependencies from your plan, flags slippage early and drafts the status report with an evidence trail.
A sample-data demonstration workflow is available. Live execution needs more configuration.
What this agent is for
Turn plan and progress data into an early-warning view of schedule risk instead of a retrospective status slide.
Capabilities
- Milestone and dependency tracking
- Slippage and critical-path flagging
- Risk register drafting
- Status report generation
- Resource conflict detection
Inputs it needs from you
- Schedule export
- Progress updates
- Risk register
Outputs it produces
- Timeline with variance
- Risk register update
- Status report
- Escalation list
Industries
- Construction
- Engineering
- Technology
- Energy
- Government
How This AI Agent Works
The published process for this agent: what triggers it, what it validates, which approved tools it calls, where a human approves and what it delivers.
Schedule and risk workflow
From a project plan to approved task updates and progress monitoring.
Saved with the run so the recorded execution trail shows what was asked. Demonstration runs use sample data. They do not touch your systems.
Public visitors can preview the structure and inspect every node. Labelled demonstrations and live runs require a signed-in account with configured providers.
Workflow summary as a text list
- 1. Project plan: Input. Schedule, WBS or task export uploaded to the workspace.
- 2. Review scope: AI agent. Check deliverables, owners and missing dependencies.
- 3. Analyse schedule: Approved tool. Compute critical path, float and slippage.
- 4. Detect dependencies and risks: AI agent. Rank risks with likelihood, impact and trigger.
- 5. Recommend actions: AI agent. Propose resequencing and mitigation options.
- 6. Project manager approval: Human approval. The PM approves before any task is changed. Human approval required.
- 7. Update approved tasks: Action. Write only the approved changes back.
- 8. Status and risk report: Output. Updated schedule view, risk register and actions.
- 9. Monitor progress: Monitoring. Track the approved actions to closure.
Approval gate: Project manager approval. Deliverable: Report.
Workflow audit for this page
| Template ID | Nodes | Approval node | Output type | Preview | Demo | Live | Mobile test |
|---|---|---|---|---|---|---|---|
| project-management-agent | 9 | Yes. Policy: always | Report | Available | Available (signed in) | Available via Studio · requires ai_provider | Verified at 390px |
Demonstration runs are stored and replayed from recorded events. Live runs execute server-side in the Studio and only start when the listed integrations report healthy.
Ask this agent team a question
Ask the live agents
Describe the problem in your own words. We classify the industry, assign specialist agents, and you watch the workflow run and produce the visual deliverables — maps, dashboards, charts, tables and reports — instead of one block of text.
Demo mode uses clearly labelled sample data — never presented as verified.
Assigned specialists
Industry detected from your wording
- Requirement validation agent
- Analysis agent
- Quality and citation reviewer
Deliverables planned
Workflow the run follows
- 1. User request
- 2. Requirement validation
- 3. Industry classification
- 4. Specialist agent selection
- 5. Data and file collection
- 6. Tool authorisation
- 7. Execution plan
- 8. Multi-agent collaboration
- 9. Analysis or generation
- 10. Quality validation
- 11. Human approval
- 12. Visual deliverables
- 13. Monitoring and audit
Ready to scope your AI initiative?
Share your objective and constraints. A specialist reviews every request before any recommendation is issued.