European organisations are under intense pressure to expand their use of AI in customer experience. According to new research from CallMiner, almost all organisations surveyed say they are being pushed to scale AI initiatives, driven by rising customer expectations and competitive pressures. Yet the research suggests many organisations are moving faster than their governance frameworks can support. As AI shifts from experimentation into live customer interactions, the challenge is whether organisations can deploy AI with sufficient oversight, trust and control.
AI is Scaling Faster than Governance
The headline numbers from CallMiner’s research reveal a significant divide between ambition and readiness. While 59% of organisations say they are scaling AI quickly, only 39% say compliance is keeping pace. More starkly, just 38% have a clear and well-defined AI governance framework in place.
These figures point to a widening disconnect between AI deployment and organisational readiness. Many companies appear eager to capture efficiency gains and meet growing customer expectations, but governance structures are still catching up. Gartner has warned that a one-size-fits-all approach to AI agent governance is a primary cause of enterprise failure, predicting that 40% of enterprises will demote or decommission autonomous agents following production incidents caused by governance gaps identified too late. The global research and advisory firm recommends a proportional framework that classifies agents by autonomy level before deciding which controls to apply.
CallMiner’s report, which draws on insights from 200 senior decision-makers across CX, contact centre, compliance, risk, governance, security and data protection roles in Western and Central Europe, captures organisations at a pivotal moment. AI is being deployed in live customer environments before the structures needed to govern it responsibly have fully matured. Recent research by Sinch found that 73% of organisations have already shut down or rolled back live AI customer agents due to a “governance failure”.
Trust has Become the Real Constraint
The research also points to trust as a defining factor in how far and how fast AI can be scaled. Some 72% of respondents say employee confidence accelerates AI adoption, while 71% say customer willingness to engage with AI-driven interactions does the same. Both figures underline that technology capability alone is not sufficient.
Organisations increasingly recognise that AI must be accurate, explainable and accountable if customers and employees are going to embrace it. Accuracy and reliability of AI outputs are cited as the leading driver of both customer and employee trust. But the research goes further, suggesting that transparency, the ability to challenge AI outputs and clarity around accountability matter just as much as performance in practice.
Successful AI scaling therefore depends as much on confidence and transparency as on technological capability. Organisations that deploy AI without establishing those foundations risk eroding the very trust that would allow them to go further.
CX and Compliance Teams See the Situation Differently
One of the more revealing findings in the research is the degree to which CX and compliance teams hold divergent views of the same situation. Compliance teams are more likely than their CX counterparts to recognise high pressure to scale AI, at 61% versus 43%. Yet CX teams are significantly more likely to believe governance frameworks are already well defined, with 44% saying so compared to just 27% of compliance professionals.
The regulatory picture adds another layer of complexity. Over half of organisations (54%) say AI regulation creates more confusion than clarity, a view held more strongly by compliance teams at 66%, compared to 47% of CX teams. Meanwhile, 53% say they struggle to keep up with evolving regulations and differences in interpretation across markets, including understanding what the EU AI Act requires of customer experience leaders.
These differing perspectives create real risk for AI initiatives. If CX teams believe governance is further along than compliance teams do, AI may be extended into customer-facing applications before the two functions have agreed how it should be governed, reviewed or challenged. Closer collaboration between CX, compliance and risk teams is likely to become a prerequisite in order to scale AI responsibly.
The Next Phase of AI is About Confidence
European organisations have largely moved beyond debating whether to adopt AI. The focus is now on scaling it responsibly. The CallMiner research suggests the organisations that see the strongest returns will be those that can balance innovation with governance, maintain customer trust and provide the visibility needed to manage risk at scale.
In European CX, the next stage of AI adoption may become increasingly defined by confidence: the confidence of customers to engage with it, of employees to use it and of governance teams to stand behind it.