AI pilots can look successful while the business case quietly deteriorates through review, correction, exceptions, leadership burden, knowledge maintenance, or unrealized capacity. AI Value Assurance provides a framework for determining whether AI-enabled work creates enough credible, durable value to justify continued investment.
AI productivity calculations usually begin with the work automation removes. They often miss the work created around the system: human review, corrections, escalations, leadership decisions, knowledge maintenance, change, and recovery. Those costs can change both the economics and the operating design.
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