The outcome

Keep an AI feature available without silently weakening its privacy or quality guarantees.

Step by step

A workflow you can repeat.

  1. 01

    Classify request data and define allowed providers, regions, retention, training, latency, and price boundaries.

  2. 02

    Set account privacy controls and enforce Zero Data Retention per request where the workload requires it.

  3. 03

    Configure provider order or performance preferences and a small compatible fallback model list.

  4. 04

    Test unavailable providers, rate limits, timeouts, malformed output, and privacy-policy mismatch failures.

  5. 05

    Log model, provider, latency, usage, and error metadata without storing sensitive prompt content.

Working standard

What good use looks like.

  • Make privacy constraints fail closed.
  • Keep fallbacks capability-compatible.
  • Monitor the provider actually used.

Official references

Check the current product documentation.