What NIST’s framework provides
The National Institute of Standards and Technology describes its AI Risk Management Framework as a voluntary resource to help organizations manage risks associated with AI systems.
The framework organizes activity around governing, mapping, measuring, and managing risk. It is not a CRM implementation recipe, nor does using it guarantee that an AI system is safe or fair.
Apply the framework to customer workflows
A CRM may use AI-assisted scoring, classification, drafting, or routing. Teams should identify the data involved, the people affected, the decision’s consequence, and how an incorrect output can be detected.
Define what a human must review, when a user can override the recommendation, and how errors are reported. Keep ordinary automation distinct from AI so governance matches the actual capability.
Make accountability part of configuration
Roaring Media’s interpretation is to assess the workflow before enabling a feature: establish purpose, access, validation, exception handling, and an owner who can pause or revise it.
NIST’s framework offers a structured starting point for risk conversations. Organizations still need controls suited to their data, legal obligations, customer expectations, and particular CRM use case.
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