Over the past decade, “digital transformation” has become a catch-all label for almost any organisational change involving technology. New systems. Automation. Analytics platforms. Collaboration tools. If it plugs in or logs on, it gets called a digital transformation.

The term has outlived its usefulness.

Introducing or upgrading technology is not the problem. Organisations must continue investing to remain competitive, productive, and secure. The rise of documented technology-driven change started early 2010s, as cloud computing, mobile platforms, data analytics, and collaboration tools reshaped work across industries (Westerman et al., MIT Sloan, 2014).

Technology is embedded in daily life. Embedding it effectively in organisations remains inconsistent.

Large-scale studies show that 60 to 70 per cent of technology-led initiatives fail to deliver their intended value (McKinsey, 2018; BCG, 2020). These failures are rarely attributed to technical defects. Research instead points to leadership alignment, organisational culture, capability, and ways of working as the primary drivers of underperformance (MIT Sloan & Capgemini, 2017).

The problem is not the technology. The problem is how we frame to start with. 

When we label complex organisational redesign as “digital transformation”, we centre the technology and marginalise everything else.

When the Language Shapes the Work

Language shapes behaviour. The way organisations describe change influences how it is scoped, funded, governed, and experienced.

When change is framed primarily as a technology initiative, ownership typically defaults to IT. Delivery milestones become proof of progress. Timelines follow implementation schedules rather than organisational readiness. Success becomes a go-live date rather than a shift in how work is actually done.

Leadership disengages. Culture becomes secondary. When results disappoint, we blame “resistance”.

But these initiative involve far more than technology. Processes shift. Roles evolve. Decision making moves. Performance expectations change. Ways of working are renegotiated. Outcomes depend on the interaction between people, organisational structures, and technology, not technology alone (Vial, 2019). When these elements are misaligned, new systems can be introduced, but meaningful change does not follow.

When Tech Takes Over

When technology dominates the stage, critical questions are pushed aside.

Are people ready to work differently? Do they understand what is expected after implementation? Do existing structures support the new way of working? Most importantly, how will the day-to-day work actually change?

When it is not addressed upfront, the consequences surface later and we’ve all seen it before. Processes are unclear. Workarounds emerge. Temporary fixes become permanent. Roles blur. Uncertainty increases. Time to competency extends far beyond the plan. Post-implementation outcomes shows that these issues, not technical defects, are the primary drivers of delayed benefits and change fatigue (Markus & Benjamin, 1997; Prosci, 2020).

Technology is implemented on schedule. The organisation is not ready to operate differently.

Technology Is an Enabler, Not the Transformation

Most so-called digital transformations are simply changing how the organisation functions. The aim is to change how work flows, how decisions are made, and how information moves and is stored using new or improved system or platforms. The mistake is assuming a new system will automatically produce a new way of working.

Technology enables change. It does not create it.

Culture and ways of working are stronger predictors of success than technical capability alone (MIT Sloan & Capgemini, 2017). When expectations about behaviour and decision making are unclear, new technology amplifies existing problems rather than solving them.

In practice, this pattern is familiar. The system works exactly as designed, yet teams struggle to adapt around it. Processes are disrupted. People are left to interpret new expectations after implementation.

It is not a technology failure. It is a failure in the framing and messaging that leaves people and processes behind.

People are more likely to support change when they understand its purpose and relevance to their role (Kotter, 2012). Psychological safety and clarity of expectations further influence whether people experiment, adapt, and adopt new ways of working (Edmondson, 2018; Schein, 2010).

When the narrative shifts away from the technology and toward capability, clarity, and opportunity, it creates space for a coherent change story. One that makes sense and that people can connect with.

Slowing the Framing to Speed the Outcome

Speed of technology implementation often exceeds speed of organisational understanding.

Many rush to implement new technology without stepping back to consider how the change fits within the broader system they are trying to improve.

Change, technology or other, does not sit in isolation. It connects with strategy, structure, leadership, capability, and culture. When these connections are not made explicit, change efforts compete, priorities fragment, and mixed signals spread.

Organisations that examine the whole system early, including people, processes, structures, and context, reduce rework and disappointment later (Beer & Nohria, 2000).

Taking a step back is not about slowing progress. It is about ensuring the technology supports a clearly defined organisational shift and that leaders reinforce the same story. When alignment is present, implementation accelerates and outcomes are more likely to stick.

Beyond “Digital” Transformation

Technology can be a catalyst. It is often the most visible element of change and the trigger for investment. For most organisations, it is also now a business-critical capability, shaping customer experience, workforce productivity, and the ability to adapt in a fast-moving environment.

However, a tool is only useful when people know how, when, and why to use it.

The real value comes when people understand what is changing in their roles, why it matters, and how work will be done differently, supported by clear messaging and reinforcement that helps new ways of working stick.

If the only thing that changed is the technology, nothing transformed.

Stop leading with the technology. Start leading with the people using it.

References

Beer, M., & Nohria, N. (2000). Cracking the Code of Change. Harvard Business Review.
Boston Consulting Group (2020). Flipping the Odds of Digital Transformation Success.
Edmondson, A. (2018). The Fearless Organization.
Kotter, J. (2012). Leading Change.
Markus, M. L., & Benjamin, R. I. (1997). The Magic Bullet Theory in IT-Enabled Transformation. Sloan Management Review.
McKinsey & Company (2018). Unlocking Success in Digital Transformations.
MIT Sloan & Capgemini (2017). Achieving Digital Maturity.
Prosci (2020). Best Practices in Change Management.
Schein, E. (2010). Organizational Culture and Leadership.
Vial, G. (2019). Understanding Digital Transformation: A Review and Research Agenda. Journal of Strategic Information Systems.
Westerman, G., Bonnet, D., & McAfee, A. (2014). Leading Digital. MIT Sloan Management Review.