eBook
AI Myths in B2B Support: What Leading CCOs Are Rethinking in 2026
There’s no shortage of noise around AI. For CCOs, the challenge isn’t whether to adopt AI, it’s understanding where it delivers real, measurable impact for customers and the business.
For years, Support organizations were measured on efficiency: faster resolutions, fewer tickets, lower costs. In today’s B2B environment, that’s no longer enough. CCOs are accountable for CSAT, retention (NRR), and growth (CLTV), outcomes that depend on shared context, aligned post-sale teams, and the ability to act on customer signals early.
Yet most customer signals remain fragmented across systems, limiting visibility and slowing action. What’s missing isn’t more tools, it’s a connected way to unify insight, automate the workflows that matter, and maintain control over how customer value is delivered. When applied intentionally, AI enables Support to move beyond reactive service and become a strategic driver of customer health and growth.
In this eBook, we explore The 7 Common AI Myths in B2B Support and how leading CCOs are challenging the status quo, rethinking outdated assumptions, and leading the next evolution of B2B Support to better serve their customers and the business.
What you’ll learn:
- Why “safe” incumbent AI choices often increase risk
- How AI built for B2C falls short in B2B Support
- How Support can become a driver of retention and growth
- What it really takes to scale AI without IT bottlenecks
- How to move from reactive support to predictive customer intelligence
Embrace AI is on a mission to help CCOs and Support organizations lead this transformation. Coming soon, we’ll share more best practices, including the AI Maturity Model for the B2B Customer Experience, to help teams evolve from reactive support to predictive intelligence.
Because the next era of AI in Support isn’t just about answers. It’s about action.
