
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 MoreIf 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.
AI coaching transforms your AI agent into a proactive support expert. Learn how to train AI for better, faster, and smarter service.
Worried about the influx of inquiries during tax season? Let’s talk about how you can be better prepared for the 2025 tax season.
In Ada’s most recent ACX framework webinar, we discuss what it takes to build a customer-centric AI strategy with monday.com.