
How to build a world-class AI customer service team
Templates and guidance on building a customer service team that uses both AI and human agents to their fullest potential.
Learn MoreSee how leading support teams are redesigning their org charts to scale automation with structure, clarity, and impact.
The most innovative CX leaders are building ACX teams—dedicated functions with clear roles, goals, and accountability for AI customer service.
Meet the AI Manager—the new CX role driving smarter automation, better resolutions, and a radically more efficient support team.
If your CX team wants more budget, more influence, and a stronger seat at the table, it’s time to upgrade your metric stack.
Not all metrics speak CEO. Learn how to translate AI performance into influence, buy-in, and budget.
If you want to really understand—and improve—the customer experience, you have to look at more than just satisfaction in isolation.
A high CSAT score isn’t the goal—it’s the outcome of a support strategy that actually works for your customers.
Discover how AllTrails and NinjaTrader scaled their AI agents by integrating the systems that matter most.
Coaching AI isn’t just about tweaking responses or fixing mistakes, it’s about turning data into direction
Here are the 10 most critical customer service metrics, and how AI customer service strategies can optimize them.
Discover the measurable impact AI coaching has on AI customer service.
Learn about the four biggest knowledge base challenges that prevent AI from reaching its full potential from industry experts—and how to fix them.