Client demand is shifting from isolated AI use cases to end-to-end workflows, yet only 15-16% of Accenture’s approximately 20,000 advanced AI projects have scaled. One ten-store retail pilot reportedly generated $5 million in unexpected cloud spending, illustrating how experimentation can drive production-scale costs before controls are in place. This uncertainty limits simple pay-for-outcome contracts. Providers need a portfolio of commercial models, underpinned by an assurance system that makes risk measurable, attributable, and shareable.
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