NiCE Cognigy Unveils Breakthrough Agentic AI Innovations at Nexus 2026
New capabilities help brands generate, test, and scale AI Agents from engagement data, deliver seamless voice and digital journeys, and securely connect with the growing AI ecosystem through MCP.
“Agentic AI is becoming the operating layer of the enterprise,” said Philipp Heltewig, General Manager, NiCE Cognigy and Chief
Breakthrough Innovations Unveiled
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Automation Opportunity: From Noise to Strategy to AI Agents
NiCE Cognigy introduced an automation discovery capability that analyzes engagement data—chats, voice, routing signals, and performance metrics—to identify automation opportunities and generate AI Agents from high-impact use cases. The result is a closed loop from engagement data to deployable AI Agents, accelerating time to value and aligning AI investment with measurable business outcomes. -
Embedded Multivariate Testing: Evidence-Based AI Agent Evals
Embedded Multivariate Testing enables controlled side-by-side comparisons across prompts, guardrails, routing logic, fulfillment strategies, and foundation models. By simulating large-scale interactions before release, enterprises can assess containment, compliance, and experience impact in advance—shifting AI evaluation from static QA to continuous performance engineering. -
Multimodal, Proactive, Hybrid Journeys: One Coherent Experience Layer
NiCE Cognigy unifies voice, visual interfaces, structured forms, and backend workflows into one synchronized journey with shared context. AI Agents can initiate proactive interactions and transition seamlessly into live conversations. Integrated human handover and asynchronous “agent unblocking” enable AI and human experts to collaborate without disrupting the customer experience—supporting a scalable hybrid workforce model. -
Advanced Conversation Analytics: From Quantitative KPIs to Qualitative Intelligence
NiCE Cognigy announced enhanced Conversation Analyzer capabilities that apply LLM-based evaluation to production transcripts, moving beyond traditional KPI dashboards. Enterprises can assess interactions against configurable quality parameters, detect anomalies, surface root causes, and track performance trends—transforming conversation data into qualitative insight for continuous, data-driven AI performance management. -
Advancing MCP Integration: From
AI Customers to AI-Run Operations
NiCE Cognigy expanded its integration with the Model Context Protocol (MCP), enabling secure interoperability with external AI tools and development environments while making Cognigy capabilities available as governed services for enterprise AI ecosystems.
AI Leaders Share Real-World Execution
Nexus 2026 convenes AI and transformation leaders from global brands including Allianz,
“We are at the beginning of a structural shift in how enterprises operate,” said
About NiCE
NiCE
(NASDAQ: NICE) is transforming the world with AI that puts people first. Our purpose-built AI-powered platforms automate engagements into proactive, safe, intelligent actions, empowering individuals and organizations to innovate and act, from interaction to resolution. Trusted by organizations throughout 150+ countries worldwide, NiCE’s platforms are widely adopted across industries connecting people, systems, and workflows to work smarter at scale, elevating performance across the organization, delivering proven measurable outcomes.
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Forward-Looking Statements
This press release contains forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Such forward-looking statements, including the statements by Mr. Heltewig and
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