Why AI Sales Can't Stop at the Close
AI products are won after signature, not at the close, because revenue follows consumption that depends on customer data, workflows and adoption, so vendors must replace the sales funnel with an evidence-driven flywheel.
Summary
Revenue from AI products is driven by consumption, and value is co-produced with customers who must change processes and data, so a bookings-oriented funnel misses accounts that stall after signing. Shifts include demand for customized proof of value (51% of CROs), the need to pick the right use case, competition for AI budget, a preference for bounded pilots, and heavier post-sale engagement. BCG proposes a flywheel from proof to pilot, deployment and expansion, with the account executive as value architect and consumption signals driving forecasts and incentives.
Editor's opinion
A relabeling of the familiar usage-based-pricing and customer-success shift already underway in SaaS, dressed as an AI-specific insight without new evidence.
Key concepts
Funnel-to-flywheel · Consumption-driven revenue · Proof of value · Value architect · Post-sales as revenue function