After years of anticipation, Salesforce CNX 2025 made one thing clear: we’re no longer in the AI hype phase. We’re in the execution era.

This year’s event shifted the conversation from what AI could do to what AI is doing—right now, in live orgs, inside mission-critical processes. It’s not just about automation anymore. It’s about precision, context, and business value.

At CriticalRiver, we’ve been tracking this shift closely, especially in how AI is becoming highly nuanced in the Salesforce ecosystem.

Take Copado. What started as a DevOps tool has become a smart partner in delivery. AI now helps teams write smarter user stories, predict test gaps, and surface regression risks—all in the flow of work. This isn’t just convenience. It’s accelerating time-to-value in Salesforce programs.

Or look at Agentforce in Field Service. AI isn’t just routing tickets faster—it’s considering technician skills, geolocation, availability, and even customer sentiment to optimize dispatch. It’s contextual intelligence applied at scale—and the ROI is real.

What stood out most at CNX wasn’t just the tech. It was the maturity of the conversation. AI success now demands governance, trust, and domain specificity. Salesforce’s Einstein Trust Layer 2.0 is a strong step in that direction—giving leaders the control and transparency they need to scale responsibly.

The takeaway? AI in Salesforce is no longer a moonshot. It’s a toolkit. But to unlock its value, we have to implement it with care—rooted in workflows, designed with intention, and aligned to outcomes.

Curious how we’re turning AI from potential into impact for Salesforce customers? Let’s connect.