Categorize business requests into supervised, unsupervised, or not-actually-ML-yet.
Place each request in the bucket that best matches its real ML framing. Supervised learning Unsupervised learning Not ML-ready yet Predict which invoices will be paid more than 30 days late using historical late-payment outcomes. Group support chats into recurring themes when no issue-type labels exist. Use AI to make account management better somehow. Forecast whether a shipment will miss SLA using prior miss versus hit records. Find natural usage patterns among new users before inventing onboarding segments. Apply a fixed compliance rule that blocks transactions above a regulated threshold.
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