Beyond the prompt: governing AI behavior like you govern releases | Harness Blog

Harness argues that organizations should manage AI prompts, model selections, and settings as governed runtime “AI Configs” rather than hard-coded application changes requiring full redeployments. Citing growing enterprise adoption of agentic AI, the webinar-based post describes how configurable AI behavior can support progressive rollouts, live experiments, and immediate kill switches, enabling teams to test prompt or model changes on limited traffic before broader release. It emphasizes governance mechanisms such as policy checks, role-based access controls, lower-environment validation requirements, and audit logs to prevent untested or unauthorized production changes. The post also stresses connecting configuration exposure to real-world outcome measures, such as customer satisfaction and support resolution rates, so cost or performance improvements can be evaluated against potential quality declines.

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