2026 Agenda

You've checked all the boxes: AI tools deployed, vendor promises secured, team adoption underway. Yet your gross margin remains stubbornly flat. You're not alone—and you're not wrong to be frustrated.

The uncomfortable reality facing MSPs today is that AI adoption and AI impact are two entirely different things. Most service providers experience what we call the "AI Promise Gap,” which is the chasm between technology investment and financial return. The culprit isn't the technology itself. It's the outdated operating model you're plugging it into.

Here's what separates the winners from the disappointed: The MSPs generating measurable ROI aren't running more AI tools—they're running fundamentally different operations. They've redesigned how workflows work, how roles function, and how value gets delivered. They've stopped bolting automation onto legacy processes and started building automation-first service delivery models.

In this hard-hitting, operations-focused session, Jason Hilling exposes exactly why your AI investments aren't appearing in your P&L—and he delivers the tactical blueprint to fix it. You'll discover where AI actually creates value in MSP operations (ticket triage, L1 deflection, technician augmentation) and why those gains evaporate without corresponding changes to role design, routing logic, and accountability structures.

This isn't a vendor pitch or theoretical framework. It's a practical roadmap for transitioning from labor-heavy support models to automation-first delivery that measurably reduces cost per endpoint, increases throughput, and expands gross margin—while simultaneously improving service quality. If you're tired of AI hype and ready for AI results that show up in your financials, this session will show you exactly what needs to change—and how to change it.

Attendees will walk away with: The operational redesign framework that transforms AI from expensive experiment to margin-expanding competitive advantage.