Despite growing pressure to modernise, progress has been limited: on average, only 31 per cent of CX infrastructure runs entirely in the cloud – exactly the same figure as in last year’s report. This means that 69 per cent of systems are still not fully cloud-based.
This is significant because many of the most advanced CX features absolutely require a modern, cloud-based platform:
CX executives certainly have ambitious plans. 91 per cent expect to be orchestrating customer experiences end-to-end within the next three years, and 86 per cent agree that agent-based or autonomous AI will increasingly drive the customer experience.
However, true orchestration goes beyond the traditional contact centre. Customer issues – from invoicing and order fulfilment to account management – often require access to middle- and back-office processes.
That is why they say:
90 percent of executives believe their CX platform will be integrated with middle- and back-office systems within three years
73 percent believe that an integrable CX platform is critical to their strategic goals
67 percent believe that linking front-office interactions with back-office processing is key to achieving these goals
The costs of delays in modernisation are clearly felt – particularly as customers are now actively using automation and have correspondingly high expectations of it. 94 per cent of chatbots deployed by CX organisations are now AI-powered, and the vast majority of executives see virtual agents as an effective gateway to self-service.
At the same time, patience is limited: 84 per cent of consumers give a virtual agent a maximum of three attempts to resolve a problem – fewer than 20 per cent are willing to tolerate more. If the handover between AI and a human fails due to a lack of context, this is precisely what triggers frustration. Almost a fifth of consumers say that having to provide the same information repeatedly makes them so angry that they would avoid a brand in future.
The report uses the data to draw up five specific recommendations for a CX operating model that connects channels, systems, data and people:
Modernize CX with a unified platform—view cloud migration and platform integration as prerequisites, not as options to be considered later.
Plan the entire customer journey, rather than optimizing individual interactions.
Build a targeted hybrid team of people and AI agents with a clear division of tasks.
Embed responsible AI as a design principle to ensure trust and governance are considered from the very beginning.
Rely on agent-based orchestration to enable experience orchestration at scale.
The data paints a clear picture: investment in AI alone is not enough if the underlying infrastructure cannot keep pace. Companies that continue to rely on isolated, on-premises systems risk not only inefficient processes but, increasingly, a loss of customer trust and loyalty.
The real question for CX leaders is therefore no longer whether to introduce AI, but whether the platform behind it is capable of connecting data, channels and teams in such a way that individual AI tools can actually be transformed into a seamlessly orchestrated customer experience.
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For years, one concern was seen as the biggest hurdle in customer service: the pace at which customer expectations are rising. The latest ‘State of Customer Experience 2026’ report from Genesys, which surveyed 5,811 consumers and 1,560 CX and business leaders worldwide, now reveals a shift: For the first time since 2023, CX leaders no longer cite rising customer expectations as their biggest operational challenge – but rather maintaining service quality on outdated infrastructure.
The problem, therefore, is no longer solely about what customers expect, but rather whether the existing technology can meet those expectations at all.