NiCE Cognigy Launches AI Ops Center, Ensuring AI Workforce Reliability at Scale
New AI command center delivers real-time control, visibility, and assurance to keep enterprise AI Agents always-on and trusted
NiCE announced the launch of AI Ops Center, the operational backbone of the NiCE Cognigy platform, designed to keep enterprise AI Agents always-on, reliable, secure and business-ready.
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As enterprises scale AI Agents across use cases, channels, and languages, they face increasingly complex CX stacks. But scale alone is no longer the benchmark – consistency is. With a network of critical dependencies on APIs, LLMs, and third-party services, a single point of failure can take systems offline and cascade into thousands of failed conversations.
The new AI Ops Center delivers the control layer that enterprises need to run AI Agents as dependable with a scalable infrastructure. It gives CX, operations, and technical teams a unified dashboard to monitor AI performance in real time, detect bottlenecks, and act before disruptions reach customers.
The NiCE Cognigy AI Ops Center represents the missing link in enterprise CX stacks: an operations command center that keeps the AI workforce resilient and ready for every customer interaction. With capabilities such as live visibility, instant error notifications, and root cause investigation, it empowers enterprises to troubleshoot smarter, prevent costly escalations, and maintain customer trust.
“CX AI plays a central role in how organizations serve customers,” said Philipp Heltewig, General Manager, NiCE Cognigy and Chief AI Officer. “With AI Ops Center, we’re delivering peace of mind for CX leaders and operations teams, giving them the control and confidence they need to run AI Agents as part of their core operations.”
Key Benefits of AI Ops Center
- Assurance & Continuity – Keep AI Agents at peak performance with proactive monitoring and alerts.
- Speed & Empowerment – Identify, isolate, and resolve issues instantly, cutting Mean Time to Recovery (MTTR), ticket volumes, and workloads on technical support teams.
- Efficiency & ROI – Maximize project success and investments in AI with seamless operations.
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