Digital transformation is not a singular leap but rather the cumulative outcome of numerous small, targeted interventions. It represents a continuous journey without a definitive endpoint. To navigate this journey effectively, organizations must begin by digitizing individual processes incrementally and subsequently integrate these processes to establish a connected and intelligent system architecture. This staged approach fosters coherence, scalability, and adaptability in building a robust digital ecosystem.
A common misstep in digital transformation efforts is the premature focus on selecting specific technologies. In reality, technology is merely an enabler—not the point of departure. The transformation should be problem-driven, beginning with a clear articulation of the process inefficiencies or challenges that require resolution. Fundamental questions must guide this phase: What specific problem are we addressing? What inefficiency are we seeking to eliminate? What outcome are we aiming to enhance?
The ultimate objective may be a comprehensive digital integration that spans customer relationship management (CRM), product development, manufacturing, logistics, and customer experience. However, this vision should be pursued through incremental and interrelated interventions, not a single disruptive overhaul. Accordingly, digital transformation is best understood as a “snowball effect,” whereby small, early-stage improvements build momentum, leading to increasingly impactful changes over time.
Consider a SME with limited digital maturity. While such an organization might operate an ERP system, its production processes may still rely heavily on manual workflows. Work orders may be issued in paper format, production data collected through handwritten operator logs, and decisions made based on outdated or incomplete information. In such a context, deploying advanced technologies like AI or generative AI (GenAI) would be premature. The immediate priority should instead be to establish digital communication between planning and production, automate data collection, and enable decision-making through real-time analytics. Integrating the ERP system with a Manufacturing Execution System (MES) can facilitate this transition, enabling more connected and dynamic operations.
This step-by-step strategy is critical to ensuring the sustainability of digital transformation. By focusing on manageable, sequential improvements, organizations can minimize resistance to change while gradually building the foundation necessary for more sophisticated technological adoption. The true challenge is not in choosing or implementing digital tools, but in reshaping operational mindsets and organizational culture.
To transform effectively, organizations must first define where to begin, clarify the problem to be solved, and digitize relevant processes in a straightforward, practical manner. Once core processes have been digitized and interconnected, it becomes possible to establish a Cyber-Physical System (CPS)—an integrated environment driven by core process automation and connected, adaptive operations. Only after this foundation is in place should organizations consider leveraging AI or GenAI for advanced, data-driven decision-making.
