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Artificial Intelligence · Playbook

AI guardrails & evaluation

Prompt injection protection, output validation, PII controls, and evaluation so AI stays safe as it iterates.

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Structured output validation and redaction

Specify the output contract and the information a workflow is allowed to expose. Validate responses before they reach another system and handle rejected outputs explicitly.

Conversation audit trails

Record enough context to understand what the assistant received, decided, and attempted. Agree on access and retention so operators can investigate issues without unnecessary data exposure.

Evaluation harnesses for reliability over time

Collect representative tasks, difficult inputs, and known failures into a repeatable review set. Compare changes against that baseline before promoting a new prompt or model configuration.

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