{"id":72046,"date":"2025-07-04T16:34:14","date_gmt":"2025-07-04T15:34:14","guid":{"rendered":"https:\/\/www.cxtoday.com\/?p=72046"},"modified":"2025-07-07T19:56:55","modified_gmt":"2025-07-07T18:56:55","slug":"gartner-exposes-the-pressure-on-customer-service-leaders-to-deploy-limitless-automation","status":"publish","type":"post","link":"https:\/\/www.cxtoday.com\/contact-center\/gartner-exposes-the-pressure-on-customer-service-leaders-to-deploy-limitless-automation\/","title":{"rendered":"Gartner Exposes the Pressure on Customer Service Leaders to Deploy \u201cLimitless Automation\u201d"},"content":{"rendered":"

A new study from the prominent research firm Gartner has found that many customer service leaders “are feeling pressure” from business executives to implement “limitless” automation.<\/p>\n

These executives have isolated the contact center as a prime area to reduce headcounts with generative and other emerging forms of AI.<\/p>\n

Yet, their short-term expectations appear unrealistic. Last year, a study found that most contact center leaders expect generative AI (GenAI) to lower headcounts by only five percent<\/a>.<\/p>\n

Moreover, a recent Cavell report suggested that global demand for human contact center agents will actually increase<\/a> from 15.3 million in 2025 to 16.8 million by 2029.<\/p>\n

Nevertheless, Gartner isolates three fundamental automation levers that will help customer service leaders reduce pressure on their people.<\/p>\n

The first is, of course, by reducing inbound contact volumes via self-service. Yet, contact centers must be smart here. Overfocusing on metrics like containment is risky, as the measure doesn\u2019t answer whether the customer achieved what they wanted. Maybe they just gave up.<\/p>\n

The second is by proactively preventing issues. That involves isolating signals that something has gone wrong in the customer journey and intervening, typically with an automated outbound notification.<\/p>\n

However, automation shouldn’t always be the answer here. Understand the customer contact reason and see if there’s an internal or external process tweak that can prevent the issue from happening in the first instance. That could save the contact center big bucks!<\/p>\n

The third lever is using automation for internal efficiencies. That involves automating tasks like post-contact wrap-ups, knowledge creation, and desktop tasks. On the latter, robotic process automation (RPA) can still prove effective.<\/p>\n

Summing up, Brad Fager, Senior Director Analyst at the Gartner Customer Service and Support practice<\/strong>, said: “Embracing automation will become essential.<\/p>\n

Customer service leaders must respond by shifting from people management to AI leadership. By adopting an automation-first approach, but also developing human talent, leaders can drive long-term value creation.<\/p><\/blockquote>\n

To this point, Wayne Anderson, General Manager of Digital Delivery at 2degrees<\/strong>, recently sat down with CX Today to discuss the telco’s experience implementing post-contact auto-summaries.<\/p>\n

At first, the company didn\u2019t see any benefit as it scaled the AI innovation across its contact center operations. Then, after going back to the basics of engaging its human talent, results spiked.<\/p>\n

Sharing a top tip, Anderson said: “We made it clear that any summarization errors would be on us, not them, which helped ease concerns.”<\/p>\n

For the full interview with Anderson, check out the video below.<\/p>\n