Developing AI Employee Management Dashboard
Dashboard for AI workforce management — single interface observing all AI-agents, tasks, performance, expenses. Alternative — scattered logs in multiple systems making management opaque.
Dashboard Components
Real-time Overview:
- Status each agent (active/idle/error/waiting for human)
- Current work tasks
- Queue tasks
- Alerts: agents in error status, tasks with exceeded timeout
Performance Dashboard: Metrics by period (day/week/month): tasks completed, acceptance rate, escalation rate, average task time. Agent comparison and historical baseline.
Cost Tracking: LLM expenses per agent. Trend. Cost per task type. Top-N most expensive tasks. Monthly expense forecast.
Task Feed: Latest tasks feed with status, agent, time. Filters by agent, type, status. Drilldown into specific task — full trace with steps.
Human Approval Queue: Tasks awaiting human approval. Context for decision. Approve/Reject/Modify from dashboard.
Technical Stack
Backend: FastAPI + PostgreSQL + TimescaleDB (time-series metrics) + Redis
Frontend: React + Recharts / Nivo for visualization + WebSocket for real-time updates
Data Pipeline: agents write metrics to PostgreSQL via API, dashboard reads