Digital Adoption: The last mile of cloud transformation

Working in the age of constant change

In today's cloud environment, a best-of-breed approach has become the norm. Each business domain is equipped with the solution that best meets its specific needs. For employees, this means that work no longer takes place within a single system, but across a connected landscape of applications. As a result, two key challenges emerge:

• Feature overload: Every solution comes with a wide range of capabilities that are difficult for users to fully understand and leverage.
• Process complexity: In integrated application landscapes, there are often multiple ways to complete the same task, but not all of them comply with company standards. It becomes increasingly difficult to know which process is the approved one, which shortcuts are not permitted, and why certain steps are mandatory, especially in environments where compliance, auditability, and data quality are critical.

At the same time, the release cycles of many cloud solutions add another layer of complexity. Regular updates continuously change user interfaces, process steps, and available features throughout the year. As a result, the traditional approach of "train once and you're done" is no longer effective. Organizations responsible for transformation and operations must therefore treat enablement not as a one-time project phase, but as an ongoing organizational capability.

Transformation reality 2026

The 2026 IT Transformation Study is based on a survey of 1,115 business leaders across 15 countries. The results show that the share of organizations that fully achieved their transformation goals has increased to 71%, a significant improvement compared to 51% in 2022.

Despite this progress, key challenges remain, and they are often not primarily technological. One of the clearest findings relates to communication. According to the study, communication between departments is frequently underestimated, with 29% of respondents identifying it as a challenge. Looking back, 32.2% said that improving communication across business functions is the single most important thing they would do differently in their next transformation.

These findings are highly relevant for Digital Adoption. They demonstrate that successful transformation is not driven by documentation or training alone. Instead, employees need clear standards, effective communication, and contextual guidance embedded into their daily work.

The Digital Adoption Gap describes the difference between the value an organization purchases through software investments and the value that is actually realized in day-to-day operations.

• In modern cloud environments, potential continues to grow through new releases, new features, additional integrations, and expanding AI capabilities.
• Realized business value also grows, but often at a much slower pace because processes, skills, governance, and user adoption do not evolve as quickly.

Digital Adoption addresses exactly this gap. It is not a nice-to-have, but a critical mechanism for turning technology investments into measurable business value during transformation.

Skill gaps: why enablement needs to move closer to the flow of work

As system complexity continues to increase, the challenge of developing the right skills becomes even more critical. Analyses based on Gartner research paint a clear picture. Many employees have not yet fully mastered the requirements of modern roles, while those requirements continue to evolve at an accelerating pace. Digital work demands continuous learning, yet today's application landscapes change faster than traditional training models can keep up.

This fundamentally changes the role of training management. Not because training is becoming less important, but because it is often too far removed from the moment of need. When employees have to perform an infrequent but business-critical task, such as following an approval workflow, maintaining master data, or processing compliance-related transactions, they need guidance exactly when the task arises.

In cloud environments with frequent updates and changing user interfaces, enablement increasingly becomes a flow-of-work capability. Learning and guidance must be embedded directly into daily work, ensuring that knowledge is not only acquired but also applied when it matters most.

WalkMe as a Digital Adoption approach: understanding the core principles

In practice, Digital Adoption is often enabled through a Digital Adoption Platform (DAP). WalkMe is one of the leading solutions in this category. SAP's acquisition of WalkMe, completed in September 2024, highlights the strategic importance of this type of platform. For organizations, however, the acquisition itself is less significant than what it represents. Digital Adoption is increasingly recognized as a dedicated capability for realizing the full value of transformation initiatives in everyday operations.

Its core principles can be grouped into four key dimensions:

• Contextual guidance within applications: Providing in-the-moment support directly within the workflow, especially where business processes are complex or compliance and best practices must be followed.
• Usage and behavioral insights: Creating visibility into where users struggle, take inefficient paths, or abandon processes, enabling organizations to continuously improve the user experience.
• Real-time validation and quality assurance: Preventing errors, improving data quality, and increasing process compliance through guidance and validation during task execution.
• Self-service to reduce support effort: Shifting recurring "how-to" questions closer to the application itself, helping users solve problems independently while reducing the burden on support teams.

These principles are particularly valuable in best-of-breed environments, where the challenge is no longer optimizing individual applications, but ensuring stable, seamless end-to-end business journeys across multiple systems. 

Digital Adoption in practice

Although organizations today have access to more powerful technology than ever before, a widely cited McKinsey assessment suggests that around 70% of digital transformation initiatives fail to achieve their expected ROI. Digital Adoption addresses exactly this gap between technical potential and realized business value by supporting users within the flow of work, reinforcing standardized processes, and enabling continuous change management.

At the same time, skill gaps continue to widen. Many organizations estimate that around 70% of employees do not yet fully possess the skills required for their current roles. In dynamic cloud environments, this challenge becomes even greater. Digital Adoption acts as a force multiplier for enablement by delivering learning and guidance at the exact moment when users make decisions and perform tasks.

Another key area of application is improving data quality and ensuring process adherence. Especially in ERP-driven business processes, accurate data entry and standardized workflows have a direct impact on downstream reporting, audit readiness, financial processing, and operational execution.

Data quality

Real-world implementations have demonstrated several measurable outcomes:

• 70% improvement in data accuracy (Smith+Nephew): An indicator that contextual guidance and real-time validation can reduce user errors and minimize rework.

  2.5x higher process adoption (Flight Centre): Demonstrating that standard processes are adopted more quickly when the correct workflow is also the easiest one to follow.

  70% reduction in inaccurate SAP submissions (NEC): Showing how quality assurance mechanisms at the point of execution can prevent errors before they occur.

• Estimated cost avoidance of USD 1.5 million (EDF Renewables): Illustrating how improved process compliance and higher data quality can translate into measurable business value.

The key takeaway is not the individual metrics themselves, but the underlying principle. The more organizations standardize and guide user inputs and process steps within the flow of work, the lower the downstream costs associated with corrections, rework, escalations, and support.

Digital Adoption aims to reduce process cycle times, shorten time-to-competency, and free employees from repetitive tasks and recurring support requests.

Time savings

Real-world examples demonstrate the measurable impact of Digital Adoption:

• 80,000 hours saved per year (Co-op): An example of the scalability achieved when recurring processes become more standardized and efficient.

• More than 1.5 million hours returned to the business (Nestlé): Showing how efficiency gains can quickly translate into substantial business value across large organizations.

• 25,000 productivity hours unlocked per month (Accenture): Demonstrating measurable, ongoing improvements across recurring business processes.

• More than 3,200 hours saved through automation (Robert Half): Highlighting the value of not only guiding standard tasks but also partially automating them.  

The primary benefit comes not from adding more features, but from reducing friction in everyday work. Less time spent searching for information, less uncertainty, fewer abandoned processes, fewer support tickets, and less rework. This is especially important in best-of-breed environments, where employees frequently move between applications and complete processes across multiple systems.

KPIs that measure digital adoption

Organizations can assess Digital Adoption through a range of measurable indicators, including:

• Time-to-Proficiency: The time it takes employees to perform processes confidently and independently.

• Task Completion Rate / Abandonment Rate: Success rates for completing critical user journeys.

• First-Time-Right / Error Rate: The percentage of processes completed correctly without requiring rework.

• Support Ticket Volume and Mix: The ratio of "how-to" questions versus technical incidents.

• Cycle Times: The duration of key end-to-end business processes.

• Data Quality Metrics: Mandatory field completion, duplicate records, validation compliance, and correction rates.

• Feature Adoption: The use of new capabilities, such as automation, compared to manual workarounds.

• User Experience Metrics: Indicators such as Net Promoter Score (NPS), user surveys, and usage analytics.

   

When innovation accelerates, adoption must move even faster

The 2026 IT Transformation Study shows that organizations are increasingly launching transformation initiatives to accelerate innovation, particularly in the field of AI. At the same time, the study highlights that communication across business functions is often underestimated, even though it is one of the most important success factors. This reality further widens the Digital Adoption Gap. The potential of new technologies grows rapidly, but realizing business value requires guidance, standardized processes, and continuous enablement.

Digital Adoption addresses this "last mile" in a practical and measurable way. It embeds process guidance, quality assurance, and usage insights directly into the flow of work, making adoption manageable while enabling organizations to continuously adapt in cloud environments characterized by frequent releases and ongoing change. WalkMe is a leading example of this approach, combining in-app guidance, data-driven transparency, and self-service capabilities.

Ultimately, the success of a cloud transformation should not be measured by whether a system has gone live, but by whether the organization uses it in a way that drives efficiency, enables innovation, and ensures reliable business processes.