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SAP, Braze, Cisco Webex, and Lola are pushing AI from recommendations into customer actions, campaign decisions, and client conversations. But Walmart’s stance on personalized pricing shows why the next engagement battle will be fought over trust, control, and consent.
AI has dominated customer experience conversations this year, but the interviews that stood out pointed to a tougher reality. Better CX will depend on governance, context, trust, employee confidence, and whether automation actually helps customers reach a meaningful outcome.
SAP launches Autonomous CX assistants to connect marketing, commerce, sales, and service workflows with business data and customer context, designed to reduce CX friction. The launch comes as an index reveals 35% of consumers prefer AI recommendations to advice from friends and family.
As AI agents begin to retrieve, interpret and act on customer information, the CRM and CDP market is shifting from data unification to governed decision-making. Oracle, Microsoft, Braze, SAP and Iterable are competing to control how customer intelligence is used.
Thames Valley Police and Hampshire and Isle of Wight Constabulary say their AI agent, Bobbi, now automates around 75% of public contacts, but the real test is making sure the right 25%, the vulnerable and high-harm cases, reach a human operator on the 24/7 digital desk
Bluecrest moved beyond sampled calls and manual dispositions to analyze every customer interaction. Its experience shows how contact centers can use AI to uncover customer intent, challenge internal assumptions, improve service journeys, and build a stronger foundation for automation.
OpenAI just bet big on always-on AI agents capable of running entire projects without supervision. Gartner says most enterprises deploying agentic AI this way will abandon it within two years. We explore these contrasting visions for the future of enterprise agentic AI.
This week’s developments show why workforce planning must connect automation, employee capacity, governance, and customer service outcomes. CX organizations need to understand which work disappears, which moves to AI, and which still requires human judgment.
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