The 5 strategic shifts every contact center leader must make

AI is reshaping the contact center faster than most leaders can operationalize it. In the race to reduce costs, improve efficiency, and meet rising customer expectations, many organizations have modernized individual parts of the experience, like adding channels and improving self-service. But incremental upgrades are no longer enough.

In 2026, the highest-performing contact centers won’t simply respond faster. They’ll resolve issues more intelligently, more autonomously, and with far greater context across every interaction. 

This shift is pushing the industry toward a new operating model: the agentic contact center. One where AI doesn’t just assist agents or answer basic questions, but actively orchestrates workflows, preserves context across channels, predicts customer needs, and autonomously resolves issues end to end.

To prepare for that future, contact center leaders must rethink the foundations of service delivery. These five priorities outline where forward-looking leaders should focus next:

1. Adopt fully autonomous resolution flows

Today’s contact center leaders have been hard at work addressing high operational costs by modernizing IVR and expanding conversational AI. But true cost transformation requires a careful balance of efficiency and personalization, not just smarter entry points.

To get ahead, contact center leaders must adopt fully autonomous resolution flows and/or AI-supervised escalation systems that can truly compress handle time, reduce staffing strain, and lower costs. 

At Zendesk Relate, contact center leaders shared some best practices for achieving this transformation. 

“You must work backwards from the needs of your customers,” advised Brian Remmel, WW Director - Connect CxE Sales & GTM at Amazon Web Services. “Get really granular about the use cases you want to improve, and then leverage agentic AI [in your workflows].”

Daniel Cipolla, Director, Business Operations at Vestwell, agreed: “Don’t get stuck in the edge cases. They will put you back years. Focus on your core use cases: What are your intents? Why is someone choosing to reach out? And how can we service that intent? 

“The key is to think through your flows, write out how you want the procedures to work, and document your North Star—the final outcome of where you want to be.” 

2. Embrace predictive, proactive voice and multimodal experiences 

Right now, contact center leaders are responding to rising expectations for speed and personalization with investments in real-time coaching and AI-driven knowledge. But in most cost centers, personalization remains reactive—and this is a gap leaders must close. 

To do this, leaders should shift to predictive, proactive voice and multimodal experiences that adapt based on emotion, intent, and customer history in real time. According to a recent Zendesk study, most contact center leaders believe this is the future: 86% say proactive outreach powered by AI will flip the model of support. 

Proactive, predictive support will not only resolve issues faster, but offer customers more personalization, too. 

3. Establish a unified interaction layer

For years, contact centers have been chipping away at integration complexity by upgrading routing, IVR, and knowledge layers. But in 2026, the underlying complexity of siloed systems persists.

Going forward, contact center leaders must establish a unified interaction layer to preserve context across channels, reduce friction, and create a more consistent end-to-end customer experience. 

“Leverage customer data profiles to get true personalization about customers,” said Remmel. “This goes beyond modality; look at what is truly important to your customer. Look at their every touchpoint and have that attribution inside their profile. That way, when the customer calls in, you can leverage that attribution and customer details to deliver more personalized experiences.” 

Leaders can unlock this experience with contextual intelligence: AI that references unified customer profiles, knowledge articles, policies, and historical behavior.

4. Unlock agentic workflows

While contact center leaders are focused on improving self-service capabilities with better conversational AI, the reality is AI still only resolves a portion of issues.

To level up, leaders must engage agentic workflows where AI doesn’t just answer questions, but completes actions, updates systems, and autonomously resolves the majority of inbound volume. 

Many leaders already see the benefit: 82% say customer satisfaction will be higher with AI-only interactions. 

5. Adopt a truly agentic, multimodal model 

Contact center leaders have made tremendous strides by adding new channels to meet customers where they are. But extending channels without fully unifying them risks fragmenting the experience further.

Instead, leaders should prioritize adopting a truly agentic, multimodal model where voice, chat, video, and self-service share context, sentiment, and next steps in real time so experiences feel continuous, not channel-bound.

“The most successful leaders are not constrained by what they already have,” said Remmel. “Instead, they work backwards from the optimal state, phasing how that approach would work. They’re focused on the outcome and on solving the problem, not just the tools or technologies.”

According to our research, leaders are ready for AI to make every interaction multimodal and accessible: 90% say they envision integrated text, voice, and video as a single experience. 

An agentic future starts with these five foundational shifts. But the work doesn’t stop there. In the age of AI-first experiences, great service is no longer calculated by how fast a call is answered. It’s determined by how completely, confidently, conveniently, and intelligently an issue is resolved. Contact centers that lead in 2026 will be the ones that use agentic AI to deliver faster, smarter, and more connected resolutions at every stage of the customer journey.