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As enterprises scramble to govern an increasingly unruly AI agent workforce, Gartner’s inaugural Magic Quadrant for AI Agent Management Platforms puts Microsoft, IBM, and ServiceNow in the Leader quadrant, while AWS, ServiceNow, OneReach.ai, and Gravitee are named Challengers.
Amazon has reported that more than 400 million customers have used Alexa for Shopping in the past 12 months. The company sees the assistant as the future front door to its platform, but higher spend alone will not prove the customer journey is improving.
Microsoft and Barclays are linking workforce reductions to AI-led efficiency, while Zendesk is using AI to remove internal friction. For CX leaders, the issue is not simply whether work can be automated, but whether reduced teams can protect service, capacity, and customer outcomes.
As customers deploy their own AI agents, EY's Laurence Buchanan shares why CX leaders must return to basics: trust, empathy, and a distinctive value proposition. He explains why cost-led AI can backfire and what that means for customer loyalty and lifetime value.
When Black Friday arrives on November 27, customers won’t necessarily care whether they’re complaining to a contact center or posting in a brand community. They’ll want someone to sort out the missing parcel or delayed refund. There’s plenty CX teams should settle before the rush begins.
ServiceNow’s earnings, Salesforce’s UK contact-center rollout and fresh carrier incidents are putting October’s service-management promises to a practical test. For buyers, the question is what’s available, what the contract covers, and who owns the failure.
The latest earnings calls reveal growing concerns about governing AI agents, controlling permissions and protecting enterprise data. Meanwhile, the Coinbase analytics incident and other cyberattacks show why CX leaders must look beyond their own systems to safeguard customers.
AI-assisted shopping can help customers turn product discovery into a more confident purchase decision. But TikTok product designer Zhengyang Yang argues that the technology must reduce uncertainty, show its evidence, and know when to step aside and allow customers to move forward without it.
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