From Knowing to Doing
I’ve spent the last few months in conversations with CEOs, PE partners, and operators across the healthcare landscape. There’s a pattern I keep hearing. It goes something like this: “We have the data. We have the dashboards. We know what’s broken. But we’re still losing opportunities faster than we can respond.”
This isn’t a technology problem anymore. It’s a timing problem.
2025 was the year AI moved from dashboards to decisions. We saw organizations adopt AI Revenue Intelligence platforms that could finally show them where revenue was leaking. They could see missed calls, abandoned schedules, conversion gaps. The visibility was transformative. But visibility alone doesn’t recover revenue.
From Intelligence to Activation
There’s a fundamental shift happening right now that will define the winners in 2026 and beyond. It’s the evolution from AI Revenue Intelligence to Predictive AI Revenue Activation.
Intelligence tells you what happened. Activation tells you what to do before it’s too late.
The difference is profound. One is diagnostic. The other is prescriptive and proactive. One helps you analyze the past. The other shapes the future before revenue slips away.
I’ve watched this evolution unfold with our clients. Six months ago, a multi-location DSO would review their weekly call reports, identify patterns, and schedule coaching sessions. By the time they acted, dozens of opportunities had already walked away. Today, that same organization receives predictive signals the moment a high-value caller shows signs of disengagement. Their team is alerted. The patient is re-engaged. The revenue is recovered, not just reported.
That’s the shift. From knowing to doing. From retrospective to real-time.
The Velocity Advantage
Here’s what I’m seeing across our client base. The organizations that are pulling ahead aren’t necessarily the ones with the biggest budgets or the most sophisticated tech stacks. They’re the ones that have figured out how to compress the time between insight and action.
They’ve built systems where AI doesn’t just report problems. It predicts them, activates the right response, and ensures nothing falls through the cracks. Their front office teams aren’t drowning in alerts. They’re empowered with clarity about where to focus and why it matters.
This is what predictive activation looks like in practice. It’s AI that listens to every inbound interaction, learns what separates a win from a loss, and surfaces the moments that matter before they become missed opportunities.
The Leadership Shift for 2026
If I had to distill what defines operational excellence in 2026 into one sentence, it would be this: The best-run organizations will act faster, not think harder.
Economic pressure isn’t easing. Labor constraints aren’t going away. The organizations that thrive will be the ones that combine human empathy with AI precision. They’ll use predictive intelligence not to replace their teams, but to make every interaction count.
This isn’t about automation for automation’s sake. It’s about activation. It’s about giving your people the tools to be proactive instead of reactive. To recover revenue before it’s lost. To create patient experiences that build loyalty, not just fill schedules.
We’ve learned this directly from the field. The most successful implementations of predictive AI aren’t the ones with the fanciest algorithms. They’re the ones where technology and humanity work in concert. Where AI handles the prediction and prioritization, and people handle the connection and care.
An Invitation
If you’re leading a DSO, MSO, or healthcare group into 2026, this is the moment to ask yourself: Are we still operating in intelligence mode, or have we made the leap to activation?
The market is moving fast. The organizations that figure this out early will have a decisive advantage.
If you’d like to explore what Predictive AI Revenue Activation could look like for your organization, I’d welcome the conversation.
