{
  "id": 6780154,
  "title": "Contact center AI faces its resolution test as metrics fall out of step",
  "url": "https://urgent.news/2026/09/11/contact-center-ai-faces-its-resolution-test-as-metrics-fall-out-of",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-11T17:29:17.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/09/11/knowledge-management-contact-center-ai-contactcentersummit/"
  },
  "original_language": "en",
  "account": "Contact center artificial intelligence is undergoing its first major test as metrics fall out of step, according to industry analysts. Contact centers present an ideal environment for evaluating AI performance, given their high interaction volumes, substantial labor costs, and direct moments of truth with customers. Bob Laliberte, principal analyst for networking and observability at theCUBE Research, explains that when AI fails in these environments, the consequences are highly visible, potentially reducing customer satisfaction and damaging the brand's reputation. Zeus Kerravala, principal analyst and founder of ZK Research, highlights that traditional measurement frameworks, such as average handle time and first call resolution, are becoming less relevant as the focus shifts towards outcome-based scoring. These outcome-based metrics are crucial as organizations move from basic AI assistants to more autonomous agents, requiring robust data foundations, high-quality data, and improved knowledge management. Laliberte emphasizes that organizations must redesign their processes, integrate systems, and address knowledge management gaps to ensure AI delivers better, more consistent outcomes. Ultimately, successful AI implementation in contact centers hinges on turning AI into a tool that earns trust from both employees and customers.",
  "summary": "Artificial intelligence is moving out of the pilot phase in customer service, and knowledge management is emerging as the constraint that decides whether the investment pays off. Contact centers combine high interaction volumes, heavy labor costs and visible moments of truth with customers, which makes them the clearest test of where the technology delivers measurable […] The post Contact center…",
  "key_points": [
    "Contact center AI metrics falling out of step in evaluations",
    "Traditional metrics like average handle time losing relevance",
    "Shift to outcome-based scoring for autonomous AI agents"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}