Andrew Fawcett
Client Devices Professional Services Manager
July 9, 2026
AI is rapidly moving from experimentation to everyday business use. From Microsoft Copilot and AI-enabled productivity tools to sector-specific applications and automation platforms, organisations that we speak to are investing heavily in capabilities designed to save time, improve decision-making and support employees in their day-to-day work. However, AI will only deliver true value when it is built on a strong digital employee experience.
A successful DEX solution gives IT teams the visibility and control needed to understand how employees experience their technology. It helps identify issues across devices, applications and services, reduce the friction that affects productivity, and create a more reliable foundation for employees to adopt new tools with confidence.
This matters because the success of an AI strategy is rarely determined by the tool alone. Employees need to be able to access it easily, trust it, understand how it supports their role and incorporate it into their workflows. IT teams, meanwhile, need the insight to spot barriers to adoption, provide proactive support and demonstrate where AI investment is creating meaningful value.
Without that visibility, organisations risk introducing powerful new tools into an environment where poor device performance, application issues or inconsistent support prevent employees from getting the best from them.
Digital employee experience is therefore not separate from AI strategy. It is the operational foundation that determines whether AI becomes a genuinely adopted, trusted and productive part of everyday work, or remains an underused investment.
When employees experience slow devices, unreliable applications, repeated login issues, poor connectivity or inconsistent support, even the most capable AI tool can struggle to deliver its intended value. But the challenge here is not only technical – friction changes behaviour.
Employees may avoid new tools and revert to familiar ways of working or seek out unapproved alternatives that feel easier to use. Meanwhile, IT teams can be left guessing, trying to understand whether low adoption is caused by training, technology performance, unclear use cases or a lack of confidence in the tool itself.
For organisations investing in AI, this creates a simple but important question:
Are we making it easy for people to use these tools effectively?
A strong DEX solution helps answer that question with evidence rather than assumption. It gives IT teams a clearer view of how devices, applications and services are performing for employees, allowing them to identify the barriers that may be affecting adoption before they become a wider business issue.
Issuing licences or enabling a new AI service is only the first stage of the journey. The real value comes when employees use AI consistently in ways that improve productivity, reduce effort or help them make better decisions. That requires organisations to understand where adoption is progressing, where it is slowing down and which teams may need additional support. Rather than relying solely on anecdotal feedback or service desk tickets, organisations need visibility into the employee experience surrounding AI-enabled work.
This can help IT leaders answer practical questions such as:
The aim is not to monitor employees. It is to understand the conditions that allow people to work effectively and ensure AI investment is supported by a reliable, intuitive digital environment.
As AI use grows, governance is becoming a greater priority for IT, security and business leaders. Organisations need to manage data protection, compliance, approved applications and emerging risks. However, governance that is overly restrictive can create unintended consequences. Employees may turn to unapproved tools if the approved route is difficult to access, slow to use or poorly understood.
The more effective approach is to combine appropriate controls with a positive employee experience. This means making approved tools easy to find, easy to use and clearly linked to relevant business tasks. It means identifying where employees may be encountering friction and addressing it before workarounds become embedded.
Digital experience insight can support this approach by helping organisations understand where technology, process and user behaviour are not aligned. It gives teams the opportunity to guide people towards the right tools, rather than relying solely on restriction after the fact.
AI adoption also creates an opportunity to rethink the role of IT support.
Traditionally, service desks have been measured by ticket volumes, response times and resolution rates. These measures remain important, but they do not always reflect whether employees are able to work without disruption. A more proactive approach focuses on preventing issues before employees need to raise them.
By identifying patterns across devices, applications and user experience, IT teams can spot recurring problems, automate routine fixes and reduce the volume of avoidable demand reaching the service desk.
For AI-enabled workplaces, this is particularly important. Employees are less likely to build confidence in new tools when their wider technology experience feels unreliable or difficult. Proactive support helps create the stable foundation needed for adoption to grow.
AI has enormous potential to support employees and transform the way organisations work. However, successful adoption depends on more than selecting the right technology. It requires a digital workplace where employees can access tools reliably, work without unnecessary friction and receive support before small issues become major barriers.
As digital workplace specialists, DTP Group help organisations take a practical, outcome-led approach to digital employee experience. By improving visibility across devices, applications and employee journeys, we help IT teams move from reactive support towards more proactive, efficient and employee-focused operations.
For organisations investing in AI, this provides an important foundation: a clearer understanding of what employees experience today, where friction is holding them back and how technology can better support the way people work. AI adoption may begin with a platform decision. Its long-term value is realised through the employee experience that surrounds it.