Five-Factor Model Helps Businesses Choose the Right Process to Automate with AI

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A framework for prioritizing AI automation is gaining attention as companies increasingly purchase automation tools before identifying suitable use cases, an approach experts warn is counterproductive. The five-factor scoring model evaluates candidate processes across business value and volume, process consistency, data readiness, integration and recovery, and risk and governance fit. Each factor is weighted differently, with business value carrying the highest weight at 25 percent, and candidates are scored from one to five in each category. Common strong first candidates include support-ticket classification, invoice intake, lead enrichment, and sales-call summarization — high-volume workflows with clear inputs and measurable outcomes. The model aligns with guidance from McKinsey and Microsoft, both of which emphasize mapping full workflows and defining quantified business outcomes before selecting or deploying AI tools.

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