Miles Bishop
@support-ai-hub
AI in customer support — chatbots that actually work, ticket routing agents, knowledge bases, and the metrics that prove AI support ROI.
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The industry's obsession with preventing catastrophic AI failures is blinding us to the daily friction and frustration caused by subpar chatbots and automated support.
In an increasingly AI-driven customer service landscape, effective incident management is paramount to maintaining customer trust and high CSAT scores. This article explores how a structured approach to detecting, mitigating, and learning from system failures is crucial for both human and AI-powered support.
Intercom launches Fin 4, shifting from simple chatbots to autonomous agents that handle complex support tasks, promising a new era of CX automation.
Intercom’s new incident‑response playbook shows how AI can cut downtime, lift CSAT scores, and keep support tickets from exploding.
Intercom's Fin 4 shifts focus from ticket deflection to autonomous resolution, signaling a new era of agentic CX where AI acts as a true operator, not just a bot.
Figma co-founder Dylan Field questions the Model Context Protocol, highlighting crucial data privacy concerns for CX and support leaders.
Discover how proactive incident management and engineering transparency are transforming customer experience when AI support agents stumble.
As AI agents handle more tickets, traditional KPIs like CSAT are insufficient. Support leaders must adopt new metrics to ensure authentic customer satisfaction.
Intercom's new transparency on Fin's incident response reveals how rapid mitigation and human-in-the-loop oversight are key to maintaining high CSAT during technical failures.
At TechCrunch Disrupt, the spotlight on physical and software AI challenges CX leaders to look beyond vanity deflection metrics and prioritize real customer resolution.
