The agentic era: Transforming CX with AI

Customers don’t remember the ticket. They remember whether their problem got solved.

That’s why leading customer experience teams are moving beyond traditional support metrics like first response time and ticket closure. Those numbers still matter, but they don’t tell the full story. A fast reply means little if the customer has to follow up again, repeat context, or wait for another handoff.

The new standard is resolution-first service: support built around solving the customer’s issue completely, accurately, and with less effort.

Why resolution matters more than ticket speed

For years, support teams optimized around speed: shorter queues, faster responses, and more closed tickets. But customers don’t measure service that way. They care about the outcome.

Agentic AI is changing what teams can solve at scale. AI agents can handle more complex requests, ask clarifying questions, connect to knowledge, and route customers to a human agent when the issue needs empathy or expertise.

Human agents also gain the context and tools to resolve higher-value issues faster. Instead of searching through ticket history or repeating questions, they can focus on the moments where judgment, creativity, and human connection matter most.

What leading CX teams are doing differently

In our ebook, The Agentic Era: Transforming CX with AI, we look at how three companies are putting this model into practice:

• Vimeo scaled personalized support for a global creative community, achieving a 30–40 percent automation rate and an 18–20 percent increase in self-service score.
• Siemens Financial Services built a more unified global customer journey across roughly 60 countries, improving visibility, consistency, and productivity.
• JobAdder turned resolution speed into a competitive advantage, with a 96 percent average CSAT and 15-minute response time for high-priority tickets.

Their industries are different, but the pattern is consistent: unify your platform, strengthen your knowledge foundation, deploy AI thoughtfully, empower agents, and measure what actually matters to customers.

The ebook also outlines practical next steps for CX leaders at different stages of AI maturity, from auditing top contact drivers and improving knowledge quality to measuring automated resolution rate, first contact resolution, and customer effort.

Because the future of CX isn’t about handling more tickets faster. It’s about solving more problems completely.