The technology industry has pushed cloud-first narrative too much in enterprise communications and contact centers, Avaya’s CEO claims.
The on-prem vs cloud debate in CX technology has been frequently debated on in the past few years, with many notable vendors having promoted cloud as the long-term solution, while many point out that organizations continue to rely on on-prem infrastructure or hybrid models.
The discussion reflects a wider industry shift as enterprises balance innovation in cloud platforms with existing infrastructure, regulatory requirements, and long-term technology investments.
On LinkedIn, Patrick Dennis, CEO of Avaya, claims that the industry has oversold cloud-only CX platforms, and that the strategy is failing in the AI era.
“For years, the industry narrative has been shoved down our throats: Move every contact center seat to the public cloud or get left behind,” he explained.
“While the world rushed toward multi-tenant CCaaS, a massive number of enterprise seats stayed put. Why? Because performance guardrails, latency, and proprietary data privacy aren’t “legacy concerns”—they’re competitive moats.”
Cloud-Only Contact Centers Face Data and Performance Limits
Dennis argues that the technology industry is expected to see a “hybrid resurgence” by combining both cloud services with on-prem infrastructure rather than relying entirely on multi-tenant cloud platforms.
This stems from several practical limitations in cloud-only architectures, with data and property risks becoming more significant in the AI era, feeding enterprise data into public cloud models can expose sensitive information for companies that depend on proprietary data.
“There’s literally nothing you can do about that metadata leakage. For a serious enterprise, that’s a non-starter,” he wrote.
He further highlights the latency and performance issues in cloud platforms, particularly with contact centers that use voiced-based AI systems in their operations.
Due to the high-performance nature of AI voice systems, they demand near-instantaneous processing, and voice traffic routed through multiple public cloud services can create severe delays, making private or on-prem infrastructure necessary to keep them close to the data.
“Voice AI demands near-zero latency. If you’re routing a voice stream through three different public cloud hops, the conversation falls apart,” Dennis continued.
“High-performance AI requires getting the compute as close to the data as possible. You can’t cheat physics with a SaaS subscription.”
This argument reveals that the industry will likely see a combined cloud service with on-prem infrastructure, arguing that analysts who predict a fully cloud-based future are overlooking these technical and security restraints.
In fact, new demands from AI, voice processing, and enterprise data security may strengthen the popularity of these hybrid architectures.
Why the Technology Industry Promoted Cloud-First CX Strategies
Having promoted cloud adoption in enterprise communications and contact centers for more than a decade, the technology industry has solved several limitations of traditional on-prem systems and created new opportunities for vendors.
These included lower upfront costs, faster deployment, and easier scalability compared with traditional on-prem infrastructure, as enterprises began switching to platforms such as CCaaS and UCaaS to avoid large hardware investments and continuous software updates.
For features like analytics, automation, and AI, the model enabled faster innovation and supported remote agents and distributed workforces during the COVID-19 pandemic, which on-prem systems found difficult to do.
As a result, many vendors and analysts have begun promoting cloud-first strategies as a long-term direction for enterprise communications.
Why Enterprises Are Reconsidering On-Prem and Hybrid Architectures
However, enterprises are now considering private, on-prem, or hybrid architecture because they offer advantages in competitive areas such as data control, performance, compliance, and long-term system flexibility that cloud-only systems cannot.
On-prem deployments allow organizations to keep sensitive data within their own infrastructure, allowing enterprises to gain a tighter control over where it is stored and how it is accessed as AI systems process larger volumes of customer data.
This is beneficial for industries that require data to remain within specific environments or boundaries, a hybrid approach can allow these organizations to meet these requirements whilst still integrating cloud capabilities.
Many large companies have been operating on complex systems that have been built and altered over many years, meaning on-prem infrastructure can allow for deeper integration with internal applications and workflows compared to a standardized cloud platform.
As a result, many enterprises may prefer a gradual transition rather than a full cloud replacement, allowing companies to extend the life of existing systems while continuously adding cloud capabilities.
This allows organizations to balance innovation in cloud technologies with standard requirements around security, performance, compliance, and existing infrastructure.
The Wider On-Prem vs Cloud Debate in CX Technology
With the debate having strongly favored cloud architectures, this shift has not been universal.
In an era of increased cloud outages and data breaches, the cloud-only approach is not always reliable.
A global customer experience survey revealed that in 2023, fewer than 30% of contact centers have switched to cloud despite a decade of promotion.
This highlights a global hesitancy amongst enterprises to switch, with 54.5% of respondents have made plans to eventually return to an on-premises solution due to its security offerings.
On the other hand, many experts note that AI is significantly easier to embed within a cloud platform due to the necessary computing power, leading to lower capital expenditure and reduced IT costs.
Michael McCloskey, CEO of Bright Pattern, recommends that enterprises deploy a single codebase that can be deployed anywhere, allowing an organization to have its major facilities on-premise while using the cloud for less sensitive data.
“The second thing is a single code base where you know your cloud is the exact same as your Prem … we can deploy in your environment or private cloud, ” he explained.
“That’s why I think having both innovative software and a single code base is really critical as you’re looking for vendors in this space.”
The ongoing on-prem vs cloud debate in enterprise communications reflects differing views on infrastructure strategy.
With the industry’s strong push toward cloud, this has overlooked the continued importance of on-prem and hybrid environments for enterprises managing data control, performance, and complex existing systems.
