Analysts from theCUBE Research and ZK Research concluded that the next phase of contact center AI focuses on end-to-end resolution quality rather than traditional metrics like deflection. The shift requires organizations to prioritize integrated data and context to avoid scaling flawed processes.
Experts Bob Laliberte and Zeus Kerravala suggest that companies should start by selecting a single high-value customer journey to establish baseline metrics. This controlled approach allows businesses to measure improvements in productivity and customer satisfaction before expanding AI deployments.
Governance is now viewed as an ongoing operational practice involving continuous testing and policy enforcement. Proper governance is expected to accelerate AI adoption rather than hinder it, ensuring that digital agents and human employees work together effectively.
The role of human agents will evolve to focus on complex, emotionally sensitive tasks and judgment-based interactions. Meanwhile, AI will handle standardized processes, requiring supervisors to develop new management strategies for this blended workforce.
