You hired agents to talk to customers. Then you asked them to spend a large part of their time of every shift typing about it. AI has already taken over the easy parts of contact center work: routing, self-service, quick answers to simple questions.
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Transforming customer experiences
Most CX leaders aren’t short on insight. They’re short on time. When a problem takes days or weeks to move from a dashboard to a fix, every one of those days shows up in repeat contacts, escalations, and churn risk.
Maui Parton handled flight cancellations. Maui Wahlberg coached travelers on loyalty perks.
On any given day, a contact center supervisor is watching service levels, checking queues, helping agents through difficult conversations, coaching people who need support, and stepping in before customer problems get worse.
As organizations expand their use of AI in customer service, they need a clear way to determine which interactions are best suited for automation. The right choices can improve efficiency, strengthen customer experience (CX), and help focus investment on the opportunities with the greatest potential value.
When I get on an investor call, there is nothing artificial about delivering a P&L as the commitments to our shareholders, our board, and our teams remain absolute.
Too many organizations are directing one customer journey from two control towers. AI agents resolve inquiries, trigger workflows, and absorb demand that once landed on human teams.