AI Automation Command Center

Operations decision-support dashboard for collecting, scoring, and prioritizing workflow-automation opportunities.

Live demo: https://ai-automation-command-center.streamlit.app/

What It Implements

• Streamlit roadmap and KPI dashboard
• Shared, tested priority-scoring function
• Department and roadmap-status filters
• Opportunity ranking and estimated time-saving analysis
• Idea-intake scoring form
• CSV export
• Importable n8n workflow concept for request-routing discussion

Evidence Boundary

This repository implements automation-opportunity analysis and a demonstration n8n JSON workflow. It does not currently call an n8n webhook, persist approvals, or execute business-system actions.

The priority score is a transparent first-pass heuristic:

impact * 2 + confidence * 1.5 + estimated monthly hours saved / 6 - effort

It supports consistent discovery conversations; it is not a financial-return guarantee.

Architecture

flowchart LR
    A[Sample opportunity CSV] --> B[Validated scoring function]
    B --> C[Roadmap and KPI dashboard]
    C --> D[Human discovery and prioritization]
    E[n8n workflow concept] -. future integration path .-> D

Loading

Run Locally

python -m pip install -r requirements.txt
streamlit run app.py

Verify

python -m pip install pytest
pytest -q
python -m compileall app.py src tests

For executable AI-agent orchestration, tools, RAG, tracing, evaluation, and approval controls, see AI Ops Workflow Automation Platform.