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Adobe is moving its CX Enterprise Coworker into the AI tools employees already use, while Orange France is rebuilding fulfillment execution and both Zendesk and Oracle are leaning on Gartner recognition to frame AI-led service as a buyer evaluation issue for 2027.

Retailers have spent years building for human shoppers, but AI agents ignore the traditional marketing tactics that have become commonplace. Agentic commerce expert Saurabh Pitkar sets out four fixes businesses need to implement to prepare for shopping agents.

As AI reshapes CRM and customer engagement, vendors are focusing on the data foundations needed to make it work. This week's developments highlight growing investment in customer intelligence, identity resolution, predictive analytics and the governance needed to turn insight into action.

Our LinkedIn poll suggests the barrier to agentic commerce isn't what the technology can do – it's whether customers trust it with their money. Only 13% would hand their shopping over to an AI agent entirely. Nearly half are open to an agent, but only with guardrails.

Five9’s $325MN acquisition of Level AI adds conversation intelligence, agent assistance and automation capabilities that can be sold independently of its CCaaS platform, as major CX vendors pursue AI specialists to broaden their reach and deepen their technology stacks.

As AI takes the simple requests, advisors are left with longer, higher-value conversations. Cresta’s Devon Mychal explains why handle time is losing its grip as the measure of success, and how one customer cut inbound volume by two-thirds while its NPS rose 50 points.

Support teams are often measured on tickets closed, yet Mindvalley's Li Shin Tan sees every conversation as an early warning on churn. She explains how AI and analysis turn support data into real product fixes, and why trust must limit AI-led retention.

Businesses investing in AI-powered analytics may be overlooking the fundamental challenge around collating the data those tools need to deliver useful answers. Connecting fragmented systems and establishing consistent metrics can help businesses turn customer data into better decision-making.
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