Consumer frustration with AI-driven customer service has reached a tipping point, according to the Better Business Bureau, signalling a critical gap between vendor capability and customer expectation. This sentiment emerges precisely as enterprise platforms—Salesforce, HubSpot, Genesys, and others—are embedding agentic AI deeper into their contact centre infrastructure. The disconnect is instructive: organisations investing heavily in AI automation are encountering resistance not because the technology fails to resolve issues, but because implementation often prioritises deflection over experience. When customers encounter poorly configured chatbots, inadequate handoff protocols, or AI systems that lack sufficient context to handle nuance, they don't blame the technology—they blame the brand. This raises an immediate question for teams already running Agentforce or similar platforms: are you measuring success by resolution rates or by the quality of the customer journey when AI is involved?
The BBB's warning reflects a maturation problem in the CX technology stack. Early adopters treated AI as a cost-reduction lever; the market is now learning that approach generates backlash. Organisations deploying AI agents without corresponding investment in knowledge management, escalation design, or human-AI handoff workflows are creating friction points that erode trust. The related announcements around Salesforce's human-AI contact centre management and Klaviyo's context-sharing agents suggest vendors recognise this problem—but implementation lags behind product capability. For support leaders, the implication is clear: deploying an AI agent without orchestrating the entire support ecosystem around it will amplify customer dissatisfaction rather than reduce it. The question becomes not whether to use AI, but whether your operational readiness matches your technological ambition.
Better Business Bureau says consumers growing frustrated with artificial intelligence in customer service DiscoverAirdrie