On June 25, 2025, Genesys®, a frontrunner in AI-Powered Experience Orchestration, unveiled its groundbreaking Genesys Cloud™ AI Studio. This innovative platform is designed to facilitate the transition towards more autonomous AI-driven customer engagement. Aimed at creating transformational experiences for users, Genesys Cloud AI Studio serves as a centralized hub for rapid AI development, management, and scaling.
Empowering Non-Technical Users with AI Guides
The first feature released under Genesys Cloud AI Studio is the AI Guides. This capability allows businesses to design, deploy, and govern AI agents without the need for coding skills. Organizations can now create virtual agents that operate autonomously across intricate, enterprise-wide customer journeys, ensuring a smoother and more efficient customer experience.
As AI technology continues to evolve, the necessity for robust governance frameworks becomes increasingly important. According to a study by the IBM Institute for Business Value Research, 80% of business leaders identify concerns regarding explainability, ethics, bias, and trust as major roadblocks to AI adoption. Furthermore, half of these leaders concede that their organizations lack the governance required to mitigate these risks effectively.
Agentic AI: A Step Towards Greater Autonomy
Current virtual agents often require extensive technical expertise to develop and follow predetermined scripts that may falter in complex, real-world scenarios. In contrast, the introduction of agentic AI promises a significant advancement in customer engagement by allowing these virtual agents to make decisions and adapt in real-time. This autonomy can lead to improved customer experiences but also introduces heightened governance risks, as the actions of these agents can significantly impact customer loyalty and brand reputation.
With AI Guides, Genesys aims to empower organizations to embrace this future confidently. The no-code interface enables users to construct and deploy intelligent virtual agents that can reason and act within customizable safety parameters established by the business. These virtual agents are capable of handling complex, multi-step customer interactions, moving beyond basic transactional tasks to initiate enterprise-wide workflows, collaborate with both human and AI teams, and act on behalf of brands during critical moments.
Key Features of AI Guides
AI Guides is meticulously crafted to help organizations scale semi-autonomous customer experiences by providing clear guidelines that govern the behaviour of language model-driven agents, thereby reducing inaccuracies and aligning outputs with core business goals. Key features include:
- Natural Language, No Code Required: Users can easily create or refine virtual agents using straightforward language or existing documentation, eliminating the need for coding skills.
- Build Once, Deploy Anywhere: Design experiences once and roll them out across various platforms such as Virtual Agents and Agent Copilot for consistency and efficiency.
- Enterprise-Grade Collaboration: AI Guides enable seamless connections between front, middle, and back-office systems to execute tasks, automate workflows, and deliver measurable business outcomes.
- Guardrails Built-In: Implement configurable safety controls to enhance accuracy, ensure appropriate tone, and maintain policy compliance for the responsible adoption of agentic AI.
Flexibility and Future-Proofing AI Engagement
Central to AI Guides is its flexible architecture, which is model-agnostic and supports continuous A/B testing and iterative improvements as new language models emerge. This adaptability allows Genesys to select and evolve the optimal AI model over time, ensuring organizations can achieve the best possible outcomes. The Genesys Cloud platform seamlessly integrates with a variety of models, including proprietary and open-source options, enabling businesses to leverage the AI that best aligns with their unique goals without compromising safety, governance, or performance.
Building a Foundation for Autonomous Customer Engagement
AI Guides introduces essential agentic AI capabilities to the Genesys Cloud platform, which encompasses conversational, generative, and predictive AI functionalities. At the core of Genesys Cloud AI is the Genesys Event Data Platform. This innovative technology transforms raw interaction data into structured signals, such as intent, outcomes, and behaviour, which enrich customer profiles and enhance engagement strategies.
The launch of Genesys Cloud AI Studio and AI Guides marks a significant step towards achieving Level 4 of Experience Orchestration. This level signifies a shift towards semi-autonomous, scalable customer engagement that adheres to business-defined standards and protocols. An upcoming tool, Custom Conversation Summaries, will further enhance control, enabling organizations to generate interaction summaries that reflect their unique brand voice, formatting standards, and compliance requirements.
Changing the Landscape of AI Governance
“As we transition into an era of agentic decision-making and operation at unprecedented speed, scalable oversight of AI becomes crucial,” states Hayley Sutherland, Research Manager for Conversational AI at IDC. “For enterprises to effectively leverage agentic AI, they must evolve their governance and adoption strategies.”
Olivier Jouve, Chief Product Officer at Genesys, underscores the importance of supporting businesses that currently lack the infrastructure and governance framework for the responsible use of agentic AI. “With AI Guides, Genesys is providing an accessible and secure pathway for organizations to embrace agentic orchestration, embedded with necessary guardrails and trust, allowing them to accelerate innovation and achieve a competitive edge,” he adds.
With the general availability of Genesys Cloud AI Studio capabilities, including AI Guides and Custom Conversation Summaries, anticipated in the second quarter of the company’s fiscal year 2026 (from May 1 to July 31, 2025), organizations are poised to revolutionize their customer engagement strategies.
For more information, visit genesys.com.
About the Author
Mechelle Gindra
Mechelle Gindra is the managing editor and lead content strategist at Telecoms-Channel, South Africa's dedicated intelligence platform for telecoms resellers, ICT distributors, and channel partners. She oversees the editorial team's AI-assisted content production pipeline, ensuring vendor news, market analysis, and regulatory updates are accurate, timely, and actionable for the SA telecoms channel community. With deep expertise in the South African telecoms reseller ecosystem, Mechelle directs coverage of vendor partner programmes, ICASA regulatory developments, wholesale market dynamics, and channel business strategy. She is responsible for maintaining Telecoms-Channel's editorial standards, fact-checking processes, and corrections policy.