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AI Product Scorecard

Built a leadership scorecard that connects AI adoption, model spend, infrastructure cost, and modeled value so leaders can decide where to invest.

AI Product Scorecard workflow: AI usage + costs → Cost + usage analytics → Product scorecard. AI observability · Cost attribution · Evidence labels.

See where AI earns its investment · Role: Architect & Engineer

Architecture

  • Normalizes product analytics and Azure Cost Management data.
  • Each metric carries a status such as measured, estimated, or insufficient data.
  • Cost attribution separates model usage from retrieval and hosting.

Technology stack

  • Python
  • React
  • Azure Cost Management
  • Recharts

My contribution

Original analytics ingestion, cost attribution, and dashboard implementation.

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