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5 articles
A practical weekly review routine for AI-assisted business workflows, covering sample outputs, exceptions, documented decisions, and whether the process still serves its original business purpose.
Before you scale an AI workflow, measure a small sample honestly. Here is what to track, how to separate observation from expectation, and a practical checklist.
A practical guide to scoping a first AI pilot: map one repetitive workflow, record a baseline, bound the inputs, name a human owner, and define an observable acceptance test.
A practical pre-flight checklist for business owners evaluating a managed AI workflow, covering outcomes, decision ownership, data, permissions, approvals, evidence, costs, and recovery.
A practical framework for business owners evaluating managed AI services: define one workflow, baseline it, run a bounded pilot, and measure before you scale.