European conversational AI provider GetVocal has announced the launch of its Control Center, a human-AI operations interface designed to help enterprises scale customer experience automation whilst maintaining trust, compliance, and full human oversight.

As organisations expand AI from simple requests to complex customer journeys, they face a dual operational challenge where AI acting alone increases risk, but human review of everything prevents automation scaling, with GetVocal's Control Center solving this through introducing governance layer for real-time two-way human-AI collaboration, enhancing customer experience through balanced automation and human oversight according to a Business Wire announcement.

Human operators work alongside AI as decision-makers and coaches. AI can request validation for sensitive actions, seek guidance on edge cases, or escalate high-value moments whilst maintaining full context. Meanwhile, supervisors gain complete visibility into both AI and human performance, including escalations, sentiment shifts, and emerging operational risk signals.

Through seamless integration with Zendesk and other customer experience tools, the Control Center enables customer service teams to instruct AI agents, take over conversations, and approve their requests without leaving existing workflows. Underpinning the platform are GetVocal's deterministic context graphs, which ensure every AI decision is visible, structured, and traceable.

Roy Moussa, co-founder and CEO of GetVocal, stated, "While many organizations are investing in AI agents, most existing tools can only automate the first five to 10 percent of customer journeys. This is because they were built either for human-only teams or for black-box decision-making. Our capabilities create a governed hybrid workforce platform where human oversight scales alongside automation, enabling brands to expand automation safely across over 90 percent of customer experience use cases."

Discover how conversational AI platforms are advancing customer experience governance through human-AI collaboration in the complete announcement.