AI in the Contact Center: From Cost Center to Efficiency Engine

By John Cognata, Managing Director at SOFTEL Communications GmbH

For a long time, contact centers have been viewed as a necessary but burdensome aspect of business operations. You invest in them, you maintain them, you try to optimize them, but in the end, they remain one of the most complex and costly parts of the organization. Not because people are inefficient, but because the systems are!

What we’re seeing now with AI is not just another wave of optimization. It’s the first real opportunity to fix some of the structural problems that have been there all along.

The Problem Was Never the People

If you look closely at most contact center environments, the inefficiency is obvious. (Human) agents jump between tools. Customer data sits in different systems. Processes are manual where they shouldn’t be. And even simple requests often take longer than they should. Over time, this creates friction everywhere. It slows teams down, increases handling times, and quietly drives up costs.

And for years, the response was to add more tools. Which, in hindsight, only made things worse.

There’s a lot of noise around AI in customer service. Chatbots, voice assistants, automation layers. But the real value shows up when AI is not treated as an add-on. It works when it’s part of a more unified setup.

This is why approaches like extending hyperscaler environments such as Azure or AWS into the contact center, such as Microsoft Dynamics 365 or Amazon Connect, are gaining traction. Instead of introducing yet another system, companies are starting to build on what they already have and connect everything into one coherent flow.

When that happens, something quite simple, but powerful, occurs: things start to feel less complicated, and that’s where efficiency begins.

Once AI is embedded into the flow of work, the improvements are surprisingly tangible. For instance, requests get routed more intelligently. Simple issues are handled before they ever reach an agent. During conversations, agents don’t have to think about where to find information; it’s already there, in context, when they need it.

Even the small things matter. Not having to write summaries after every call. Not having to switch between five systems. Individually, these are minor improvements, but together, they fundamentally change how a contact center operates.

And that’s where cost efficiency starts to show, not as a one-off saving, but as a continuous effect.

The Hidden Win: AI Doesn’t Replace Agents. It Removes the Friction Around Them

One of the biggest misconceptions is that AI is about replacing people. In reality, it’s about making their work smoother.

Good agents are not expensive because of their salaries. They’re expensive when their time is wasted on tasks that shouldn’t exist in the first place. When AI takes over repetitive steps, surfaces the right information, and guides the interaction in real time, agents can focus on what they’re actually good at: solving problems and building trust. The result is not just higher productivity, but also better conversations.

When communication and contact center capabilities are brought together into one environment, there are fewer things to manage. And customers notice that.

In many cases, companies don’t need to rebuild everything from scratch. They can extend platforms they already use, which makes the transition faster and far more practical.

Cost reduction, in this sense, becomes a byproduct of doing things in a cleaner, more structured way.

So What’s Actually Changing? From Responding to Anticipating

Another shift happens more quietly. As AI starts to understand patterns, such as customer behavior, recurring issues, and sentiment, contact centers move from reacting to anticipating. Problems can be identified earlier. Some interactions never need to happen. Others become shorter and more focused.

"The contact center was never meant to be this complicated. We just got used to it."

AI is not magically fixing contact centers. What it’s doing is giving companies the tools to rethink how these operations are structured in the first place.

Those who approach it as just another feature will see limited impact. Those who use it to simplify, connect, and redesign their setup will see something very different: lower costs, smoother operations, and a system that actually scales.

After all, the contact center was never meant to be this complicated. We just got used to it. AI is now giving us a chance to rethink that complexity, and, finally, remove a good part of it.

Final Note: Don’t Forget  Governance

In Europe, the contact center shift is happening against a fast‑moving backdrop of Igovernance and regulation that is reshaping how AI can be used in customer interactions. As the EU AI Act moves from text to enforcement, AI systems that route, guide, or assist conversations will need clear risk management, transparent decision‑making, and demonstrable human oversight built in from day one.

At the same time, GDPR and sector‑specific rules for financial services continue to set a high bar for how customer data is captured, stored, and analysed across voice, chat, and digital channels, with fines that can easily outweigh any short‑term efficiency gains. For financial institutions and other highly regulated organisations, the real opportunity is to treat governance as a design principle, not an afterthought: to build AI‑enabled contact centers that are not only faster and more intuitive, but also auditable, explainable, and ready for scrutiny from regulators and customers alike.

About SOFTEL

SOFTEL is a global provider of AI-enhanced communication solutions, helping organizations reduce costs, streamline operations, and navigate complex regulatory environments. Now active in Germany and already working with leading financial institutions, we bring proven expertise to one of Europe’s most demanding markets.

We help transform contact centers into efficient, scalable operations through targeted AI advisory, governance, and audit services.