
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 MoreAs businesses get serious about AI customer service, they’re asking: How should we be paying for this? And more importantly: What are we actually paying for?
It’s not about adding AI to your team, it’s about building your team around it. Here’s how.
See how leading support teams are redesigning their org charts to scale automation with structure, clarity, and impact.
Performance doesn’t come from AI alone. It comes from AI integration.
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