The contact center is undergoing one of the most significant transformations in its history. Advances in Generative AI (GenAI) and cloud-based Contact Center as a Service (CCaaS) are forcing organizations to rethink how customer engagement is designed, delivered and optimized. Agentic AI further expands these possibilities by enabling systems to coordinate tasks, retrieve information across systems and autonomously execute predefined actions. However, greater autonomy requires stronger governance, oversight, observability and accountability.
Figure 1 — Generative AI powers intelligence. Agentic AI takes action. CCaaS delivers experience—at scale.
While AI has significant potential, value comes from applying it to the right problems. Rather than asking where AI can be deployed, organizations should focus on which customer and business challenges have the greatest impact when solved. Achieving those outcomes requires a thoughtful balance of automation, human expertise and analytics-led optimization.
Gartner research found that 91% of customer service and support leaders are under pressure to implement AI, with improving customer satisfaction, operational efficiency and self-service success among their top priorities for 2026. Yet human expertise remains critical: separate Gartner research found that 87% of customers believe companies using GenAI for customer service must provide an option to reach a human agent.
Recent Qualtrics research reinforces the importance of resolution over automation. Its 2026 study of more than 7,000 consumers found that understanding is the factor most closely associated with issue resolution, while AI agents scored lowest on this measure. The implication is that AI needs sufficient context to resolve an issue effectively, with a smooth handoff to human support when it cannot.
Success depends on effective collaboration between AI and human expertise, supported by strong governance, actionable insights and an operating model that continuously evolves with customer needs.
GenAI has transformed how chatbots and voice assistants are designed and improved. Modern assistants can support more natural conversations, more flexible responses, multilingual interactions, accessibility requirements and faster iteration cycles.
Figure 2 — From rigid rules to intelligent conversations.
These capabilities deliver value when grounded in a deep understanding of user behavior, regulatory constraints and operational objectives. Enterprises still need the right strategy, data foundation, experience design, governance and integration to unlock value.
Human expertise remains essential throughout the AI-enabled contact center operating model. During the design phase, it ensures business rules, escalation paths, brand standards, compliance requirements and customer expectations are accurately reflected.
In that hybrid model, AI also plays an important role behind the scenes. During live operations, skilled representatives remain critical for managing complex, sensitive and high-value interactions, supported by AI-driven tools for summarization, knowledge retrieval, next-best-action guidance and real-time insights that can help representatives respond faster and more consistently. These capabilities reduce cognitive load and allow representatives to focus on the work where human judgment matters most: empathy, exception handling and problem-solving.
AI also strengthens continuous improvement by turning operational data into actionable insight. By connecting conversational data, escalation trends, repeat contact analysis, customer effort signals and resolution outcomes across channels, organizations can identify where automation is working, where human support remains essential and where journeys need to be redesigned.
For organizations pursuing this shift, we provide bring together expertise across CCaaS, conversational AI and analytics to turn AI ambitions into measurable results. We help organizations increase resolution, lower customer effort, empower agents and establish a contact center model that continuously improves over time.
Figure 3 — Driving measurable CX outcomes with HCLTech
At a time when the contact center serves as a key gateway to the enterprise, lasting success depends on human-centered automation, strong governance and continuous improvement across the operating model.
The contact centers that define the next decade will be built on intelligent automation, human expertise and continuous optimization. Bringing these three elements together will deliver lasting value for customers, employees and the enterprise.
