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Structured Decision Systems for Enterprise AI

7 chapters · 32 lessons

1. 1. Structured Outputs vs Generative Responses

   4 lessons

   Understand when and why structured decision outputs outperform free-form text in enterprise systems.

2. 2. Confidence Calibration and Thresholding

   5 lessons

   Learn to produce and validate confidence scores that support automated decision-making.

3. 3. Human-in-the-Loop Routing Architecture

   4 lessons

   Design systems that escalate ambiguous or high-risk decisions to human reviewers.

4. 4. Integrating Decisions with Business Logic

   5 lessons

   Connect structured AI outputs to policy engines, workflow systems, and downstream automation.

5. 5. Monitoring Decision Quality in Production

   5 lessons

   Build observability systems to track accuracy, fairness, and drift for operational AI.

6. 6. Fairness and Compliance for Automated Decisions

   4 lessons

   Ensure decision systems meet regulatory requirements and avoid discriminatory outcomes.

7. 7. Patterns for High-Volume Decision Systems

   5 lessons

   Apply architectural patterns for fraud detection, access control, routing, and operations.