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From Transformation Hangover to Detox: Is There a Good Time to Pause?

Lionel Grealou Digital PLM Strategy 3 minutes

an artist s illustration of artificial intelligence ai this image depicts how ai could help understand ecosystems and identify species it was created by nidia dias as part of the visua
Photo by Google DeepMind on Pexels.com

Digital detox refers to intentionally stepping away from digital devices—smartphones, computers, social media—to reduce stress, regain focus, and reconnect with purpose. In our personal lives, it is a conscious reset that clears mental clutter and restores clarity. Most of us have tried it—and it works, at least for a while.

In business, we are now seeing a parallel need: the digital transformation detox. After years of accelerated change—ERP upgrades, PLM integrations, AI pilots, IoT expansions—many organizations are feeling the weight of accumulated complexity. They are asking a timely question: Is it time to pause, reflect, and recalibrate before pushing ahead further?

From Acceleration to Saturation

Digital transformation has dominated enterprise roadmaps for over a decade—and with good reason. It promises efficiency, insight, automation, and resilience. But ambition comes with a cost—especially when transformation becomes a constant state, rather than a series of focused, value-driven steps.

Today, many mid-sized and large organizations are showing signs of transformation fatigue. Multiple parallel initiatives—across PLM, MES, ERP, AI, and more—have led to bloated tech stacks, fragile integrations, and user confusion. New tools are layered on before older ones are stabilized. Tactical remediation projects overlap without architectural or functional alignment. Data becomes abundant but fragmented. There is now a frenetic rush to experiment with AI—regardless of cost or consequences.

This results in what might be called a transformation hangover. Instead of empowering teams, technology starts to slow them down. Decision-making is delayed by disconnected systems. Adoption drops as users grow tired of constant change. Technical debt builds up, creating invisible barriers to progress.

The original promise of transformation—agility, insight, innovation—is getting lost in the noise.

What a Detox Really Looks Like

A digital transformation detox is not about halting progress or abandoning innovation. It is a purposeful pause—a time to reassess what is working, what is not, and what needs to change. This goes beyond the tech stack. It can include organizational design, leadership alignment, and governance structure.

In practice, a detox may involve:

  • System rationalization: Mapping your architecture (ERP, PLM, MES, AI, etc.) to identify redundancies, fragile integrations, or conflicting data sources.
  • Technical debt scoring: Assessing legacy customizations, unsupported code, and brittle interfaces to prioritize cleanup.
  • Value stream alignment: Ensuring tech flows match business processes—and enable rather than block outcomes.
  • Usage analytics: Identifying where adoption drops, workarounds persist, or systems are underutilized.
  • Governance reset: Shifting transformation governance to be cross-functional and business-aligned, not siloed in IT.

The goal is not to undo what has been built—but to fully absorb it. To ensure that transformation efforts are sustainable, coherent, and tied to business value.

Much like in health, a detox is not a retreat—it is a reset. A moment to recover clarity and build a stronger foundation for the next wave of transformation.

But Can You Pause When AI Is Moving This Fast?

It is a fair concern. With generative AI, predictive analytics, and intelligent automation evolving rapidly, many leaders fear falling behind if they slow down—even momentarily.

But the reality is this: scaling AI or any emerging tech without a solid foundation is a bigger risk than waiting. Furthermore, waiting does not mean stopping experimentation and learning.

Simply put, AI is only as powerful as the data and context it is built on. If enterprise systems are disconnected, data is siloed, and processes inconsistent, AI will amplify noise—not insight. In complex environments—where PLM, LIMS, MES, and ERP already interact—AI adds pressure to systems that may already be stretched.

A successful digital detox involves a positive and more sustainable phase of recovery. In business terms, it means making space to stabilization and adoption, integrating new technologies thoughtfully. For example, it includes ensuring your digital foundation is strong enough to support the next layer of advancement.

Think of it as a strategic pit stop—not to rest, but to refuel, realign, and reenter the race with renewed focus and precision.


There are moments in any strategic journey where a deliberate pause is not just warranted—it is essential. The organizations that emerge strongest from transformation are not necessarily those that moved fastest, but those that moved with the greatest clarity and coherence.

If your digital initiatives are outpacing value realization, if adoption is stagnating, or if transformation feels more exhausting than energizing, consider whether now is the time to recalibrate.

Because transformation is not about doing more. It is about doing what matters, with alignment, sustainability, and purpose.

What are your thoughts?

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Disclaimer: articles and thoughts published on v+d do not necessarily represent the views of the company, but solely the views or interpretations of the author(s); reviews, insights and mentions of publications, products, or services do neither constitute endorsement, nor recommendations for purchase or adoption. 

About the Author

Lionel Grealou

Lionel Grealou, a.k.a. Lio, helps original equipment manufacturers transform, develop, and implement their digital transformation strategies—driving organizational change, data continuity, operational efficiency and effectiveness, managing the lifecycle of things across enterprise platforms, from PDM to PLM, ERP, MES, PIM, CRM, or BIM. Beyond consulting roles, Lio held leadership positions across industries, with both established OEMs and start-ups, covering the extended innovation lifecycle scope, from research and development, to engineering, discrete and process manufacturing, procurement, finance, supply chain, operations, program management, quality, compliance, marketing, etc.

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