Overcoming transformation fatigue

In the modern corporate landscape, "digital transformation" is a phrase that routinely populates executive boardrooms and glossy marketing pitch decks. Yet, mention it to the employees on the front lines of daily operations, and you are more likely to encounter groans of exhaustion than enthusiasm.

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Rutger van Gennep, Practice Lead for Business & IT Transformation at Gen25, unpacks the root causes of what has officially become a corporate epidemic: transformation fatigue. In this article, insights gathered from real-world projects reveal that the path to a successful digital evolution is paved not with a singular tech tool, but with human connection, meticulous phasing and strict operational realism.

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The disconnect between strategy and execution

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The primary point of failure in major corporate overhauls is a glaring disconnect in perspective. Executive management frequently defines a transformation by its high-level vision, such as expanding into a new continent or cutting broad operational costs. Conversely, tech vendors often define it purely by the deployment of their platform.

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The transformation a company goes through cannot just be focused on the IT platforms being introduced. Ideally, we are involved early enough to map out a company's strategic goals, how those will be impacting their business architecture, and then assess which IT solutions can facilitate achieving those goals. If you only join when the contracts of the IT vendors and solutions are already signed, your ability to truly help that company evolve is limited.

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True transformation requires an explicit bridge between high-level strategy and everyday workflows. Without a translation mechanism that turns general corporate goals into practical tools for daily operations, employees quickly lose sight of why they are being asked to change their habits.

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The anatomy of transformation fatigue

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When corporate changes stretch on for years without producing tangible benefits, organisations succumb to transformation fatigue. This fatigue stems from two distinct frustrations in daily operations:

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• Lack of context: employees do not see how the new system directly improves their individual and daily processes.
• Perpetual delayed gratification: employees are asked to change their workflows under the promise of a future reward, but after months or years, they see no concrete output.

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To combat this, transformation teams must design projects around an iterative, phased approach that guarantees quick wins. Rather than attempting a massive, all-at-once deployment, successful organisations secure incremental value on a bi-weekly or monthly basis, proving to the end-users that the disruption to their schedule is worthwhile.

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The underestimated role of the key user

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A common mistake made by transitioning enterprises is treating adoption as an afterthought or a light task to be managed passively. Organisations regularly draft a handful of operational employees into an ongoing IT project on top of their full workloads.

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In reality, cultivating adoption and defining low-level requirements is practically a full-time job. These internal team members, known as key users, act as the vital connective tissue between outside technical consultants and internal staff.

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What can we learn from this? Well, it is incredibly powerful when a peer who was intimately involved in the development process demos a new system to their colleagues. It carries vastly more credibility than an external partner presenting it from an ivory tower.

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Moving past the AI hype: foundation first

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The transformation fatigue many organisations are experiencing has only intensified with the rapid rise of AI. While AI is often presented as the solution to every business challenge, the reality is more nuanced. Despite the excitement, many enterprise AI initiatives fail to deliver measurable business value. This is not because the technology falls short, but because the foundations underneath it are not yet in place.

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Organisations often make the mistake of over-promising what AI can achieve based on theoretical concepts rather than focusing on technically feasible and high-impact use cases. Others deploy AI as a standalone technology initiative, without first aligning it with the business processes and data structures it depends on. Some even expect AI to clean up fragmented data and undocumented ways of working on its own. In reality, successful AI adoption starts by structuring institutional knowledge, documenting processes and creating reliable data foundations before introducing automation. This also helps prevent another rising phenomenon: shadow AI, employees not adopting corporate AI tooling but rather using a separate selection of AI tooling on the side, with lots of risks involved. Learn more about how business architecture can help organisations move beyond shadow AI by clicking here.

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As van Gennep explains: "AI is not a silver bullet that you drop into place to magically solve all your problems. Too often, corporate knowledge isn't organised into searchable processes or procedures. It still lives inside the heads of individual employees. Without that foundation, AI simply cannot deliver the value promised in the boardroom."

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To build an adaptable, future-proof organization, leaders must abandon the pursuit of short-lived AI trends and focus on sustainable value delivery. By establishing Business Architecture as a permanent anchor, all initiatives, business or technology, AI-driven or operational, remain explicitly tied to an organization’s strategic goals. Paired with early investment in cross-functional key users who own and drive change, organizations create the conditions for long-term capability ownership. Introducing AI through targeted, high-impact use cases ensures transformation yields clear, measurable business value rather than fragmented experiments. Want to explore the Gen25 approach to accelerating businesses with AI? Click here.