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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.

Brands collect more customer feedback and behavioral data than ever, yet customers still encounter disjointed journeys. Nissan’s Coralie Musy explains why the answer is not more insight, but one view of the journey, clearer ownership, and action that customers can see.

Rob Scott previews Microsoft Ignite 2026, where Microsoft must show how Dynamics 365 Contact Center, Contact Center Intelligence, voice agents, Agent 365, MCP, and consumption pricing fit together. The key question: can the strategy simplify enterprise CX, or add another layer of complexity?
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