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Liantis
Over time, Liantis – an established HR company in Belgium – had built up data islands and isolated solutions as part of their legacy system.
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We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
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2026 Global AI Report: A Playbook for AI Leaders
Why AI strategy is your business strategy: The acceleration toward an AI-native state. Explore executive insights from AI leaders.
Access the playbook -
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Not long ago, the contact center was seen as a necessary cost of doing business — something to optimize, streamline and run at a predictable cost. That view is rapidly becoming outdated. AI is turning the contact center into something far more valuable than before: a real-time intelligence hub that improves customer experience, informs business decisions and gives your organization a competitive advantage and the ability to differentiate.
Picture a typical interaction. A customer calls your company about a delayed delivery. In a traditional setup, they navigate a maze of menus to the strains of hold music, repeat their issue to multiple agents and leave the interaction frustrated.
Now consider an intelligent, integrated approach. The system already knows who the customer is and understands why they’re calling. It routes them instantly to the right system to resolve their query — sometimes without needing a human at all. If a human agent is involved, they’re equipped with context, suggested actions and even a real-time summary of the issue.
That’s an AI-powered contact center in action.
From reactive support to intelligent engagement
Customer expectations have changed dramatically. They want fast, easy and personalized interactions on any channel, at any time. Meanwhile, your organization is dealing with rising contact volumes and increasingly complex customer journeys.
Whereas legacy contact centers rely on fragmented systems, siloed data and manual processes that slow everything down, AI connects data, automates routine work and enables faster, smarter decisions.
The impact is immediate, as set out in a new NTT DATA perspective, From cost center to intelligence hub: How AI is transforming the contact center. Routine customer queries, such as checking account balances or tracking orders, can be resolved instantly through conversational AI. In fact, many organizations are seeing 60%–70% of these interactions handled without human intervention, according to NTT DATA’s own observations.
But the real value goes beyond the efficient handling of basic tasks.
Empower and elevate your agents
There’s a common misconception that AI replaces human agents. In reality, it makes them noticeably more effective. For instance, when an insurance agent is handling a complex claim, they no longer need to toggle between systems to search for information. AI surfaces relevant policies, suggests next steps and generates summaries automatically. The agent can focus on listening, empathizing with the customer and solving the problem.
This “agent-assist” model reduces query handling time and improves the consistency of interactions. It also leads to better outcomes for your customers, who get faster, more accurate responses, while you maintain the human touch.
Turn conversations into AI-powered insights
Every customer interaction contains valuable signals: frustrations, preferences, emerging issues, even product feedback. Historically, most of this data was lost or underused. AI changes that by analyzing customer interactions at scale. It can detect the overarching customer sentiment, identify recurring problems and highlight trends in real time.
Imagine a retail company noticing a spike in complaints about a specific product feature. Instead of discovering the issue weeks later through surveys or returns, they can act immediately by fixing the problem, updating messaging or adjusting inventory.
In this way, your contact center is transformed from a service function into a listening engine for the entire organization.
Smarter journeys, not just faster call handling
AI also enables a shift from reactive service to proactive engagement.
For example, a telecom provider can detect network issues affecting a group of customers and send notifications before complaints start rolling in. A bank can identify unusual account activity and guide customers through resolution steps instantly to prevent fraud.
These kinds of interventions reduce the inbound demand for assistance while improving customer trust. They also create a fundamentally different experience — one where the organization feels responsive and in tune with their customers.
Build the foundation for continuous improvement
An AI-powered contact center isn’t a one-time intervention. The technology learns and improves continuously, with every interaction feeding back into the system to refine routing and improve automation and recommendations.
However, this level of ongoing innovation requires the right foundation. Cloud-based platforms, consolidated data and strong governance are essential to ensure AI is used responsibly and effectively. Solutions like Amazon Connect by Amazon Web Services (AWS) — now being expanded into a set of four purpose-built agentic AI solutions — provide flexible, composable architectures that support more consistent and responsive customer experiences.
Human oversight also remains critical, especially in areas such as compliance, fairness and customer trust.
Treating AI as a bolt-on tool will lead only to incremental gains, but rethinking the role of your contact center entirely will build a foundational, intelligent and connected ecosystem that delivers a world-class customer experience.