TL;DR: AI hallucinations in customer service create real risks for customer trust, compliance, and customer experience. Preventing them requires verified knowledge sources, clear guardrails, and human oversight for sensitive or complex cases. Continuous monitoring also helps ensure AI responses remain accurate, reliable, and accountable over time. Imagine a customer asking a simple question: “Am I […]
TL;DR: Microsoft Build 2026 marks a clear shift from AI copilots that assist humans to agentic AI systems that execute tasks. These systems can resolve tickets, automate workflows, and act proactively, transforming customer support into a faster, scalable, and more autonomous function. Microsoft Build 2026 confirmed what many support leaders are already seeing: AI in […]
TL;DR: Microsoft Build 2026 highlighted a major shift in enterprise AI: from tools that assist users to agents that execute work. Key themes included AI agents, multi-agent systems, Copilot’s evolution, Microsoft Foundry (formerly Azure AI Foundry), hybrid AI, interoperability, and enterprise governance. If recent Microsoft Build events introduced copilots and accelerated enterprise AI experimentation, Microsoft […]
TL;DR: AI in customer success helps teams scale by turning customer data into actionable insights. This guide highlights practical AI use cases, including health scoring, onboarding automation, sentiment analysis, and early risk detection, that show how teams can improve decision-making, reduce churn, and drive better customer success outcomes. Customer success teams don’t lose customers because […]
