Genesys enhances Agentic Virtual Agent with new AI capabilities
- Genesys introduces Scaled Cognition APT-2 model to improve reasoning accuracy and execution reliability for Agentic Virtual Agent
- New voice capabilities include End-of-Turn Detection and Contextual Tuning for more natural conversations
- Expanded enterprise connectivity offers access to over 25,000 MCP-compatible tools and 500+ integrations
- Customer Riachuelo reported 400% productivity boost and CSAT improvement of 60 points after adoption
- ElevenLabs integration expected in Q3 FY2027; Adobe integration in Q1 FY2028

*this image is generated using AI for illustrative purposes only.
Genesys International Corp announced advancements to its Genesys Cloud Agentic Virtual Agent, introducing the Scaled Cognition APT-2 large action model, new voice innovations, and deeper enterprise connectivity to automate complex customer interactions.
The company stated that enterprise AI is shifting from isolated use cases to distributed networks of agents. Gartner predicts that by 2028, 80% of organizations will see AI agents consume the majority of their APIs, up from less than 20% in 2026.
Enhanced Intelligence and Voice Capabilities
Genesys is expanding the intelligence behind Agentic Virtual Agent through the Scaled Cognition APT-2 large action model. This model is designed to improve reasoning accuracy, factual grounding, and execution reliability. It supports richer agent specifications, longer workflows, faster response times, and improved multilingual performance.
New voice capabilities aim to enable more natural conversations. End-of-Turn Detection helps the agent understand when a customer has finished a thought, reducing awkward pauses. Contextual Tuning allows the agent to adapt its terminology, tone, and speaking style to reflect the organization’s brand and interaction context.
Integrations with ElevenLabs and Deepgram expand voice technology choices. ElevenLabs provides expressive, natural-sounding voices, while Deepgram offers real-time speech recognition built for conversational AI, helping the agent understand interruptions and changing intent.
Enterprise Connectivity and Development
Building on its acquisition of Pinkfish, Genesys is expanding Agentic Virtual Agent with more than 500 enterprise integrations and access to over 25,000 Model Context Protocol (MCP)-compatible tools. This enables secure access to CRM, ERP, IT service management, and other business applications to gather context and take action.
Agent2Agent (A2A) interoperability allows Agentic Virtual Agent to collaborate with specialized AI agents across platforms such as Salesforce and ServiceNow. This enables task delegation and coordination across multistep business processes, connecting customer conversations to the systems needed for resolution.
Development teams can use spec-driven development to describe desired customer experiences using existing materials like process documentation. AI helps translate these into deployable configurations. New AI-assisted authoring analyzes agent design to identify opportunities for improvement.
Customer Impact and Adoption
Organizations including Global Payments, MTN South Africa, Utility Warehouse, UOL, and Charles Sturt University are adopting Agentic Virtual Agent. Some customers report multimillion-dollar annualized savings and Net Promoter Score gains of more than 70 points.
Riachuelo, a major Brazilian fashion retailer, replaced its traditional chatbot with Genesys Agentic Virtual Agent. The move increased customer retention from 30% to 84%, improved CSAT by 60 points within the first year, and boosted productivity by more than 400% without adding staff.
Zeppelin Rental GmbH is using the solution to enhance digital customer experience, allowing customers to describe job site needs in natural language rather than searching product catalogs.
Timeline and Availability
More than 7,500 organizations worldwide, including ESPN, CarMax, HSBC, Nestlé, and Nationwide, rely on Genesys Cloud. Capabilities with AWS, Deepgram, Meta, Salesforce, ServiceNow, Sierra, and the Scaled Cognition APT-2 model are available today.
ElevenLabs integration is expected to be generally available by the third quarter of the Genesys fiscal year (Aug. 1–Oct. 31, 2026). Adobe integration is expected in the first quarter of the next fiscal year (Feb. 1–April 30, 2027). Additional capabilities, including native voice enhancements, A2A interoperability, and AI-assisted authoring, are expected to become generally available in the fourth quarter of the company’s fiscal year (Nov. 1, 2026–Jan. 31, 2027).
What the Numbers Show
The source data highlights a significant projected shift in API consumption patterns. The share of APIs consumed by AI agents is expected to quadruple from less than 20% in 2026 to 80% by 2028. This indicates a rapid acceleration in the adoption of autonomous AI agents across enterprises, supported by tangible operational improvements such as Riachuelo’s 400% productivity boost.
Historical Stock Returns for Genesys International Corp
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +3.71% | -1.54% | +13.31% | +18.01% | -45.41% | +132.91% |
How might Genesys' shift toward distributed agent networks impact its competitive positioning against integrated platforms like Salesforce Service Cloud?
What are the potential cybersecurity and data governance risks associated with AI agents consuming 80% of enterprise APIs by 2028?
Could the projected 400% productivity gains seen in early adopters like Riachuelo be replicated across industries with more complex regulatory compliance requirements?


































