Genesys has announced the launch of the industry’s first agentic virtual agent specifically designed for the enterprise CX sector.
Powered by Large Action Models (LAMs), the new Genesys Cloud Agentic Virtual Agent is designed to move beyond simple conversation, enabling autonomous, end-to-end resolution of complex customer requests.
The move signals a significant pivot in the CCaaS market, shifting the focus from reactive, LLM-based self-service to outcome-driven, autonomous engagement. By leveraging LAMs, the virtual agent can understand customer goals, determine necessary steps, and execute actions across both front- and back-office systems.
Closing the “Action Gap” in Self-Service
While the industry has seen a surge in LLM-powered bots to improve conversational quality, the actual success rate of self-service remains a challenge. Genesys points to a Gartner report indicating that the average self-service success rate sits at just 22%, even as 46% of leaders rank it as a top priority for 2026.
The limitation of current LLM-based bots is their inability to handle multi-step workflows or adapt to changing needs across disparate enterprise systems. The Genesys Cloud Agentic Virtual Agent addresses this by pairing LAMs with robust orchestration and governance.
Early adopters of the technology already include major names such as M&T Bank, Banco Pichincha, and several Fortune 50 organizations across the healthcare and retail sectors.
Olivier Jouve, Chief Product Officer at Genesys, commented:
“Autonomy in customer experience only works when it’s built on trust, transparency and control. With our LAM-powered Agentic Virtual Agent, we’re enabling AI to reason, plan and safely take action across systems. This gives organizations a responsible way to move beyond conversations and deliver consistent outcomes customers can rely on.”
The Power of Large Action Models (LAMs)
The technical backbone of this launch is strengthened by a partnership between Genesys and Scaled Cognition. The platform now utilizes the Scaled Cognition APT-1 LAM, a model purpose-built for deterministic, action-grounded execution rather than just text generation.
This allows the AI to act across CRM, billing, and service operations systems while maintaining “explainable” decision paths. This approach aims to eliminate the “hallucinations” often associated with generative AI and restore enterprise confidence in automated resolution.
Dan Roth, Co-founder and CEO of Scaled Cognition, stated:
“In the enterprise, 80% accurate is 100% useless for automation. LLMs are mainly designed to generate text, not execute tasks—and in the real world, that gap leads to hallucinations and policy drift. The foundation of trustworthy automation is super-reliability, not super-intelligence. By combining our Large Action Models with the governance of Genesys Cloud, we will deliver a more reliable AI stack for enterprises around the world.”
Governance and Future-Proofing
To ensure these autonomous agents operate within corporate boundaries, Genesys is integrating the capability into Genesys Cloud AI Studio. This allows CX leaders to define guardrails, permissions, and specific behaviors, providing a clear audit trail of how the AI makes decisions.
Furthermore, Genesys plans to support open standards like Agent-to-Agent (A2A) and Model Context Protocol (MCP). This will enable the Agentic Virtual Agent to collaborate securely with other AI agents across the enterprise ecosystem.
Hayley Sutherland, Research Manager, Conversational AI at IDC, noted:
“As enterprises push self-service further, the limits of scripted, turn-based interactions that can only support information exchange are becoming more apparent. Resolving complex customer requests requires AI that can plan and execute multistep actions across systems, while remaining predictable and auditable. The focus of Genesys on combining autonomous execution with experience orchestration and governance reflects the direction the market needs to move to make self-service both more effective and trustworthy.”
Industry Reaction
The shift toward agentic AI is being welcomed by major financial institutions looking to modernize their service delivery without sacrificing reliability.
Trond Prestø, Head of Customer Care at DNB, added:
“At DNB, delivering seamless, trustworthy customer experiences at scale is a strategic priority. We see agentic AI as an important next step in self-service by allowing us to resolve customer needs at scale. The way Genesys Cloud approaches autonomous virtual agents, with built-in controls and governance, aligns with how we think about responsibly modernizing services while improving efficiency and consistency.”
Availability
The Genesys Cloud Agentic Virtual Agent is expected to reach general availability in the first quarter of the company’s fiscal year 2027 (February 1, 2026 – April 30, 2026).