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The framework aims to guide businesses in successfully adopting AI automation through a structured five-stage process.

July 1, 2026Open Access

A Five-Stage Framework for AI Automation Adoption in Business

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Framework outlines effective AI automation practices in businesses with actionable steps and metrics to enhance value recovery.

The framework aims to guide businesses in successfully adopting AI automation through a structured five-stage process.
Five sequential stages of AI automation: Identify, Map, Select, Build-and-Supervise, Measure.
Distinction made between AI automation and traditional rule-based automation.
Provided a practical example demonstrating significant time reduction in manual processes.
Achieved a thirty-fold reduction in hands-on time for a monthly manual process.
Identified common reasons for failure in AI adoption, emphasizing selection and supervision.
Proposed measurement focusing on hours and money recovered rather than output metrics.

Weiner Simon (2026) studied this question.

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