Artificial intelligence has been part of customer service for years, but it is only now beginning to fundamentally change how companies operate. What started with basic automation and scripted chatbots is evolving into something far more capable. This shift is being driven by agentic AI, a form of artificial intelligence that can reason through problems and take action on its own. Alongside generative AI, it is reshaping customer service and increasing pressure on businesses to adapt quickly.
Jason Rosenfeld, Chief Growth and Alliances Officer at NewRocket, has watched this evolution unfold across enterprises.
“I’ve watched the enterprise landscape shift from ‘Call-First’ to ‘Self-Service,’ but today’s customers demand something more,” Rosenfeld said. “They demand the instant gratification they experience in their daily lives with AI.”
That expectation is now setting a new baseline for customer service.
From Early AI to Generative Systems
The concept of artificial intelligence dates back to the 1950s, when researchers first explored whether machines could imitate human thinking. Early AI systems were rule-based and rigid. They could handle narrow tasks but struggled when conditions changed.
Later advances in machine learning allowed systems to learn from data rather than follow fixed instructions. This led to generative AI, which became widely known in recent years. Generative AI systems can create text, images, and code by recognizing patterns in large datasets.
In customer service, generative AI powers chatbots that answer questions, explain policies, and communicate naturally. These tools improve efficiency, but they remain reactive. They respond to requests rather than acting independently.
What Makes Agentic AI Different
Agentic AI takes this further. These systems can decide what needs to be done and carry out tasks independently. They can plan multiple steps, use software tools, access databases, and complete workflows with minimal human involvement.
In practice, a generative AI system might explain how a refund works. An agentic AI system can verify the account, approve the refund, update records, and notify the customer when the issue is resolved. This shift from answering questions to completing actions is what makes agentic AI transformative.
Technology Platforms Are Adapting
Enterprise platforms, including companies such as ServiceNow, are rethinking how software supports work. Instead of focusing solely on tickets or task management, these platforms now coordinate workflows, automate decisions, and connect systems across departments.
As agentic AI becomes more common, service platforms are evolving to support autonomous actions and real-time decision making. Software is expected not just to record work, but to help complete it.
A New Model for Customer Service
Customer service is no longer defined by queues and manual escalation paths. AI systems monitor activity, detect problems early, and resolve routine issues automatically. Human agents focus on complex situations that require judgment, empathy, and decision making. Many organizations are adopting this combined model, where AI provides scale and humans provide trust and understanding.
Why the Urgency Is Real
Customer expectations are rising. People compare every service interaction to the speed and convenience they experience in their daily lives. At the same time, businesses face growing support volumes, higher costs, and tighter margins.
Early adopters of agentic AI are already seeing faster resolutions, lower costs, and higher customer satisfaction. Those who delay risk falling behind competitors that can deliver faster, more seamless service. Companies also must set clear rules to ensure transparency, accountability, and trust.
The Shift Is Underway
Agentic AI is already being integrated into customer experience platforms and enterprise systems. What is changing is not only how service operates, but what customers expect.
For business leaders, now is the time to evaluate where autonomous systems can add real value, modernize operations, and prepare teams for a future where AI actively shapes customer experience.