AWS Publishes a Five‑Step Playbook for Managing Amazon Bedrock Costs

AWS released a detailed guide outlining a five‑step operating model for controlling spend on Amazon Bedrock, its generative‑AI service. The framework assigns every dollar to a specific IAM identity, team, or application (attribution), logs each request with sufficient metadata for traceability (observation), enforces budgets with alerts and hard limits (enforcement), optimizes platform defaults such as model routing, caching, and token limits to reduce waste (optimization), and establishes a regular review cadence to convert data into decisions (operation). The playbook is intended for FinOps practitioners who handle attribution, chargeback, and anomaly review, and for platform engineering teams responsible for logging, request metadata, enforcement, and routing defaults. It emphasizes that cost management for generative AI is an architectural and operational discipline, not merely a matter of choosing cheaper models or shorter prompts.