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Opinion: Business must close the AI trust gap, says Zendesk chief legal officer

Zendesk

Zendesk's chief legal officer has positioned trust as the critical differentiator in enterprise AI adoption, arguing that businesses deploying AI in customer experience workflows must actively close the gap between AI capability and stakeholder confidence. This framing reflects a broader industry tension: vendors are shipping AI-powered features at pace—from agent assistance to autonomous routing—yet customers remain cautious about transparency, bias, and accountability. The argument centres on a straightforward premise: technical competence alone is insufficient. Organisations deploying AI in support environments must demonstrate governance, explainability, and clear ownership of outcomes, particularly where AI influences customer-facing decisions or agent recommendations. For CX teams already embedded in Zendesk or competing platforms, this signals that vendor credibility now hinges on more than feature velocity.

The implications cut across three operational layers. First, support leaders implementing AI-assisted ticketing or knowledge management must anticipate internal friction—agents and supervisors will demand visibility into how AI ranks, routes, or suggests responses, and teams without clear governance frameworks will struggle to gain adoption. Second, the trust gap creates competitive pressure on mid-market vendors; if Zendesk, Salesforce, and similar incumbents can articulate robust AI governance narratives whilst smaller platforms cannot, procurement decisions will increasingly favour transparency over feature parity. Third, and more subtly, this positions AI governance as a compliance and risk function rather than purely a product function, which means CX teams should expect their legal and compliance counterparts to have stronger input into AI rollout decisions. The question becomes whether your organisation's AI governance maturity matches the pace at which your vendor is shipping features—and whether that mismatch creates liability or merely operational friction.