Report
The AI Maturity Model for B2B Customer Experience (CX)
Post-sale customer operations are at an inflection point. B2B Support and Customer Experience teams are being asked to do more than resolve tickets — they’re expected to support retention, surface growth signals, and contribute to measurable business impact. Yet many teams remain constrained by disconnected systems, manual processes, and limited end-to-end visibility.
At the same time, a paradigm shift is underway. As SaaS growth plateaus and AI platforms mature, Support has a new opportunity: to move beyond reactive service and play a more proactive role in delivering customer value. When Support and CX operate as a single system of action, teams can scale agent-assisted and self-service experiences, improve efficiency, and act on customer signals earlier.
What we consistently see across B2B organizations is this: expectations have risen faster than the tools teams rely on.
That’s why we created the AI Maturity Model for the B2B Customer Experience, a practical framework to help organizations assess where they are today and understand how AI’s role must evolve as Support scales. The goal is simple. We want to help CCOs and Support leaders to chart a clearer path to ROI with AI that delivers real customer value.
What you’ll learn:
- How leading B2B organizations evolve Support beyond ticket resolution
- What AI maturity looks like across three distinct phases and where most teams stall
- How GenAI-native platforms unify insight, automation, and action across Support and CX
- How customer signals surface earlier, when intervention matters
- What it takes to turn Support into a proactive driver of retention and growth
The pressure is on. Advancing the CX requires rethinking how Support operates. It is no longer just as an efficiency function, but as a strategic engine for customer value. This maturity model provides a clear path forward.