CX Strategy Is Changing: Why Frontline Teams and AI Can’t Be an Afterthought

Customer expectations have changed faster than most CX strategies have adapted.

Customers move between channels without thinking about it. They expect context to follow them. They assume the person on the other end already knows who they are and what just happened.

Most organizations aren’t built that way. That disconnect between what customers expect and how companies are structured is where experience breaks down.

Recently, our own Global VP of Product Management, Design & Operations Dhwani Soni met with Founder and Principal Analyst at ZK Research Zeus Kerravala to discuss, in practical terms, what this shift means for IT Leaders, CX executives, and frontline teams.

If you’re responsible for CX strategy across the contact center and beyond, these are the takeaways that matter.

CX Is Now a Company-Wide Strategylink to this section

For years, customer support (and most of the experience) lived inside the contact center. It had its own metrics, tools, and leadership. That model no longer holds.

Today, marketing shapes expectations. Product shapes usability. IT shapes performance. And every employee who touches a customer shapes perception. As Kerravala put it during the session, CX performance has become brand performance.

The numbers are hard to ignore:

• 90% of brands now compete primarily on customer experience, up from 28% five years ago.
• Half of consumers will switch brands after a single poor experience.

One broken interaction is both a revenue and a service issue.

Customer experience transformation today means extending customer support beyond the contact center, so conversations and context move together across the organization, not just inside the contact center.

Old Metrics Won’t Carry You Forwardlink to this section

We are all familiar with the metrics of average handle time and first-call resolution, and they still matter. But on their own, they don’t tell you whether customers are staying.

Kerravala argued for a broader view of CX health, including:

• Customer Effort Score
• Net Promoter Score (NPS)
• Customer Satisfaction (CSAT)

These metrics measure how customers feel, not just how quickly tickets close.

The challenge is visibility. As conversations spread across voice, chat, SMS, video, and messaging, insights get harder to connect. That’s where AI becomes practical.

In an AI-powered contact center, real-time transcription, topic analysis, and trend detection surface patterns that teams would otherwise miss. The goal isn’t automation for its own sake. Automation reduces employees' cognitive load, allowing them to focus on solving problems rather than searching for context.

When systems are unified and insights are accessible, decisions get faster and more consistent.

IT’s Role Has Changed, Toolink to this section

IT is responsible for uptime and infrastructure. Now it’s also responsible for enabling outcomes.

As organizations push forward with contact center modernization and broader CX transformation, IT teams are expected to integrate customer interaction data across voice, messaging, and contact center systems into a single central location.

That’s difficult when communications are scattered across point solutions. Kerravala was direct: fragmented data leads to fragmented insight. If teams can’t see the full picture, they can’t act on it. And when insights stall, customer experience suffers.

A unified CX platform integrates UCaaS and CCaaS on a single foundation, giving IT the control and visibility required to support the entire organization, not just one department.

The Frontline Blind Spotlink to this section

This was the insight that resonated most. Roughly 80% of the global workforce is frontline: retail associates, clinicians, technicians, and field teams.

Most CX strategies weren’t designed for them.

Historically, vendors focused on knowledge workers and contact center agents. Frontline employees were left juggling disconnected tools, often on mobile devices, without access to the full customer context.

That gap is one of the biggest blind spots in contact center modernization.

When a field technician can’t access the right information.When a retail associate can’t see previous interactions.When a clinician has to check multiple systems for updates.

Customers feel it immediately.

Soni emphasized that serving frontline teams requires designing around how they actually work. That means mobile-first access, streamlined workflows, and just the capabilities they need. Not a desktop contact center interface squeezed onto a phone.

By connecting employee conversations and customer engagement on a single platform, organizations can extend CX capabilities outside the contact center and into the field.

When frontline teams have context, customers stop repeating themselves. Resolution improves. Trust builds faster.

AI That Changes the Outcomelink to this section

AI came up throughout the discussion, but not as a headline. The focus was on outcomes.

Kerravala shared examples where AI-driven automation reduced resolution times by 50–75%. That impact comes from combining automation with real-time insight and smarter routing, not from replacing human agents.

Soni offered a practical example. One customer centralized sales communications within 8x8 Engage rather than relying on personal messaging apps. When salespeople left the company, the knowledge stayed. Customer history stayed. Relationships stayed intact.

That’s operational resilience.

In a modern AI-powered contact center, automation works best when it protects continuity and frees employees to focus on judgment, empathy, and complex problem-solving.

AI amplifies people. It doesn’t replace them.

The Bottom Linelink to this section

If there is one thing to take away from the conversation between Kerravala and Soni, it is that this shift in CX is already underway.

CX now spans the entire organization. Frontline teams need the same context and intelligence as the contact center. IT has to unify the foundation. And AI has to prove its value in measurable outcomes.

The next phase of CX strategy isn’t about adding more tools. It’s about building a unified CX platform that connects frontline teams, contact centers, and IT under one foundation.

Organizations that adjust will see it in loyalty, retention, and efficiency. Those who don’t will feel the gaps first at the edges, and then in their numbers.

If you missed the webinar, it’s worth a watch. Because when the people closest to your customers have the right tools and context, customer experience improves in ways that metrics alone can’t capture.

And that’s where growth starts.

View the Full Fireside Chat