Agentic AI pilots in enterprise GTM often stall not because the models are inaccurate, but because they are not trusted. The core issue is the trust gap: the distance between what an AI model tells a team and the number that team is willing to act on. When AI outputs differ from Salesforce or internal reporting, operators default to the system of record, so even accurate models fail to change behavior. Pilots fail on trust, not performance. Closing the gap requires reconciliation with existing systems and transparent, explainable logic, not just better accuracy.
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