Operations command center
Real AIDemo Mode · Synthetic DataHuman approved
AI Operations Agent
An autonomous operations system that ingests messy operational updates, pulls project and task data, investigates blockers, proposes tasks with owners and priorities, and executes updates — every action approved by a human before it runs.
OPERATIONAL UPDATE
AI Workflow
0/7Ingest operational update
Pull workflow & tasks
Investigate blockers
Propose tasks & actions
Human approval
Execute updates
Verify state
Run a scenario
One-tap inputs that exercise different real-world outcomes — including the edge paths.
Run the workflow to see the AI work.
The agent reads the update, checks project state, identifies blockers, proposes tasks and asks you to approve before anything happens.
Activity Timeline
Run the operations workflow to see the full audit trail
System controls
Production readiness — the controls behind this system
- Business KPI
- Project health score and delivery risk — how quickly operational chaos becomes an ordered, owned plan.
- Data & retention
- Run against a synthetic project system. Production deployments retain every decision, tool call and state change for audit.
- Permissions & action boundaries
- Reads project state and task data freely; every write — task creation, reassignment, deadline update — requires human approval.
- Model & provider strategy
- OpenWeights Groq models with structured output; fallback + rate-limit handling if the provider is busy.
- Human approval
- No task is created, reassigned or escalated without a human reviewing and approving the proposed action.
- Monitoring & audit
- Full activity timeline records every AI decision, tool call and approval for compliance and review.
- Cost / workflow
- One model run per operational update with a bounded tool loop; workflow is cost-traceable per request.