The customer isn’t just human anymore. Agents are already learning our preferences, comparing offers, and making choices that used to hinge on emotion and brand memory. We sat down with Ben Wiener, global head at Cognizant Moment, to unpack how this rewires the entire go-to-market stack—from data foundations to creative expression—and why marketing plus IT has effectively become the business.

We dig into the real preparation work: consolidating and governing data so AI can act responsibly and effectively. Ben breaks down how organizations can fund the future by letting AI handle code cleanup, content migration, and workflow orchestration, then reinvest those savings into agent-ready experiences. We explore the move from omnichannel to omnibuyer, where humans, agentic buyers, and AI-assisted shoppers take nonlinear paths and demand different signals of value. That triggers hard questions about personalization, privacy, and compliance, especially in finance and healthcare, where trust is the currency.

What happens to preference when machines choose? We examine whether platforms, brands, or consumers will own the agent; how pay-for-preference could influence ranking; and why transparency standards will make or break adoption. Ben makes the case for brand-consistent AI personas that carry tone, empathy, and guardrails into machine-mediated interactions—like a great salesperson who’s consistent yet adaptive. Creativity doesn’t disappear; it scales. Relevance, speed, and ethics become the competitive layers that separate resilient brands from those left behind by algorithmic selection.

If you care about data strategy, customer experience, AI governance, and the future of brand loyalty, this conversation will sharpen your roadmap. Subscribe, share with a colleague who needs to hear it, and leave a review with your take: who should own the consumer agent—platforms, brands, or users?

Forget shiny tools. The real power in customer experience comes from simple, disciplined execution that customers actually feel: reliable delivery, fast issue resolution, and clear communication. We sit down with Lee Kemp, former VP of CX at Veritiv, to unpack how a military-forged mindset translates into practical CX leadership across supply chain, sales, IT, and finance. Lee explains why technology should only amplify a solid foundation, and how asking the right “obvious” questions can reframe stubborn assumptions without triggering defensiveness.

We walk through building metrics that matter, starting with familiar signals to align executives, then tying them to operational outcomes like on-time performance, order accuracy, first-contact resolution, and proactive updates. Lee shares a playbook for change management that avoids heroics: sponsor the right projects, let stakeholders own the wins, and keep the mission visible so teams see their role in the outcome. When resistance shows up, executive sponsorship becomes the accelerant, but staying power depends on delivering growth that leadership can see and trust.

ROI often trips teams up, so we break it down to credible indirect signals: reduced churn after onboarding fixes, higher repeat order rates with better communication, lower expedite costs from reliability gains, and faster cash through cleaner processes. Show your work, quantify trends, and be honest when something misses. That integrity builds influence for the next move. If you’re building CX in a complex B2B world—or trying to defend it to a skeptical CFO—this conversation offers practical steps to simplify, measure, and lead change that sticks. Subscribe, share with your team, and leave a review with your best “measure what matters” tip.

What if doing “the right thing for this customer, right now” became the default? We sit down with Rob Walker, VP of Decisioning and Analytics at Pega, to unpack how empathy at scale, AI-driven decisioning, and strong governance can make customer engagement both more human and more effective. Rob explains why empathy isn’t charity; it’s a system for earning relevance and trust that compounds into mutual value. We dive into one-to-one decisioning that prioritizes a hierarchy of needs—solve hardship and service first, consider offers only when appropriate—and how real-time redecisioning keeps conversations useful as context shifts. The conversation gets candid on hype vs. reality: generative AI is expanding the content library needed for true personalization, even demonstrating better bedside manner in some settings. But trust requires more than sentiment; it needs policy. Rob breaks down the T‑Switch, a transparency and model-use framework that enforces explainability where stakes are high and speeds experimentation where stakes are low. Then comes the big horizon shift: customer advocacy agents. These AI agents will comparison-shop, negotiate, and handle service on our behalf, impervious to glossy ads and tuned to our preferences. That future could disintermediate brands and push competition toward price, reliability, and fit—raising the bar for authenticity and interoperability. Inside the enterprise, tools like Pega’s Customer Engagement Blueprint compress months of strategy design into hours, changing roles rather than eliminating them. Marketers and data scientists move from manual assembly to orchestration, governance, and measurement, while empathy and trust become operational standards, not slogans. If you’re ready to trade segments and batch campaigns for moment-level decisions and measurable trust, this conversation is your fast start. Subscribe, share with a teammate who needs to hear it, and tell us: what would you ask your customer advocacy agent to do first?