Agentic AI is inarguably one of the hottest topics in the CX and contact center space right now. But most vendors are avoiding an obvious but uncomfortable conversation around the tech.
If an AI agent can take action, make decisions, and move a customer through a journey, who is accountable when it gets something wrong?
Genesys is trying to answer that question before the market forces its hand. In its latest Sustainability Report, the CCaaS vendor frames responsible AI as a core part of its experience orchestration strategy.
Indeed, in the report, Tony Bates, CEO of Genesys, says:
“We have transformed Genesys Cloud into an AI-powered platform with generative and agentic AI at its core.”
The company’s report makes clear that Genesys sees trust, governance, and transparency as central to getting enterprises comfortable with putting agentic AI into customer-facing workflows.
Governance Moves from the Back Office to the Customer Journey
Genesys describes agentic AI as technology that brings “purpose, reasoning and autonomy” to customer interactions.
In practical terms, that means AI systems that can do more than summarize a call, suggest a knowledge article, or hand off a query; they can act.
Through Genesys Cloud, the company says organizations can reduce handoffs, maintain customer context across channels, anticipate next steps, and resolve issues “end-to-end in a single customer journey.”
Yet the more autonomous those systems become, the more difficult it is for businesses to treat AI governance as an afterthought.
Genesys has earned ISO/IEC 42001:2023 certification for the Genesys Cloud platform, covering the design, development, and deployment of AI technologies. It has also launched a Genesys Cloud Trust Center, which brings together information on security, privacy, compliance, and AI governance.
Behind the scenes, the vendor has established an AI Ethics Board, an AI Ethics Roundtable led by its Chief Privacy Officer, Mario Tavares-Moyron, and an AI risk-management approach aligned with ISO 31000 and the NIST AI Risk Management Framework.
The company also says customers can access AI product cards outlining intended use cases, data use, technical model information, and risk assessments.
Genesys is betting that these guardrails will matter far more as organizations move from AI copilots that support agents to autonomous systems that handle more of the customer journey themselves.
Genesys Cloud AI Gains Momentum
The governance push comes as Genesys scales its AI portfolio.
Around 20% of Genesys Cloud new business annual contract value came from Genesys Cloud AI during FY26, according to the report. Meanwhile, AI-powered conversations increased by more than 120% year-over-year, while Agent Copilot summaries rose more than threefold.
Genesys introduced AI Studio, AI Guides, and enhanced agentic AI capabilities during the year, with the aim of helping customers build, test, manage, and scale AI experiences.
The company has also partnered with Scaled Cognition to develop more reliable agentic AI for enterprise CX workflows.
The collaboration combines Genesys experience orchestration with Scaled Cognition’s large action models, or LAMs, to help businesses deploy autonomous agents with greater accuracy, governance, and trust.
In doing so, the vendor is seemingly tackling a common AI security pain point: most CX vendors can now promise automation. The harder sell is proving that the automation is safe enough for regulated, high-value, or emotionally sensitive customer interactions.
Cloud Resilience and Sustainability Are Part of the Pitch
Genesys is also linking its AI and cloud strategy to sustainability.
The vendor reported 99.995% Genesys Cloud platform availability in FY26, equating to less than 30 minutes of downtime across the year.
Genesys also argues that cloud migration can support both resilience and environmental efficiency.
By moving customers away from on-premises contact center infrastructure, the company says organizations can reduce dedicated hardware, lower idle capacity, optimize compute usage, and improve energy efficiency.
With customer use of sold products accounted for 55% of Genesys’ reported Scope 3 emissions, the company sees cloud migration as a key lever in reducing that footprint.
It is important to note that while these are encouraging figures, Genesys is not claiming to have solved AI’s environmental problem.
Glenn Nethercutt, CTO of Genesys, said:
“Responsible innovation also means applying the right model to the right task – using tailored AI models and optimized inference to reduce unnecessary compute and energy consumption.”
The report acknowledges that Genesys is still in the early stages of quantifying the energy and emissions impact of AI workloads. That is an important admission at a time when every vendor is racing to attach AI to its customer experience proposition.
Trust Will Define the Next Phase of Agentic CX
Genesys has been clear about its direction. It wants agentic AI to sit at the heart of experience orchestration.
But the company’s report suggests it understands that autonomous AI will not win over enterprises through efficiency claims alone.
Contact center leaders will want proof that the systems are governed, explainable, resilient, and designed with clear boundaries.
As Bates and his team push Genesys Cloud further into agentic AI, the technology will need to do more than resolve customer queries faster. It will need to earn the right to act on them.
