{"id":1028,"date":"2023-09-27T11:19:24","date_gmt":"2023-09-27T09:19:24","guid":{"rendered":"https:\/\/bcmconsult.com\/wo-liegt-der-fehler-im-system-der-digitalen-transformation\/"},"modified":"2026-04-17T07:53:06","modified_gmt":"2026-04-17T05:53:06","slug":"where-is-the-fault-in-the-system-of-digital-transformation","status":"publish","type":"post","link":"https:\/\/bcmconsult.com\/en\/where-is-the-fault-in-the-system-of-digital-transformation\/","title":{"rendered":"Where is the fault in the system of digital transformation and what requirements does this give rise to for the use of artificial intelligence?"},"content":{"rendered":"\t\t
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The perspective of a key account manager in the consulting and ICT industry.<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/a>Abstract<\/strong><\/h3>

The paradox of digital transformation \u2013 <\/strong>Despite rapidly rising spending on consulting and digitization, the hoped-for effects on profitability, competitiveness, and future viability are often not materializing. On the contrary, companies are experiencing declining productivity, diminishing agility, and an erosion of innovation capabilities, accompanied by structural and cultural instability. This productivity paradox points to a fundamental design flaw: although the massive investment of resources is aimed at efficiency and securing the future, in practice it creates additional complexity, coordination effort, and friction losses \u2013 and value creation falls behind.<\/p>

Where the system error of digital transformation lies – <\/strong>The article locates the cause of this failure not so much in a \u201clack of mindset\u201d or a supposedly inadequate corporate culture, but rather in the dominant logic of externally organized automation, monitoring, and control. For decades, top-down methods have shaped transformation practice: external status quo analyses, centralized redesigns, program and tool rollouts, change campaigns. In an environment whose dynamics are constantly accelerating, these approaches paradoxically increase organizational overhead. Transformation becomes a major project in its own right, demanding a great deal of attention without increasing the ability to adapt continuously, immediately, and efficiently to new conditions.<\/p>

The participation dilemma and the \u201cadaptation gap\u201d \u2013 <\/strong>The systemic error becomes particularly apparent in the area of employee participation. If employees are fully involved in change processes, coordination and communication loops grow so large that non-value-adding effort explodes. If they are not involved, the risk of resistance, blockages, and subsequent correction loops increases \u2013 ultimately resulting in even higher costs and delays. In both cases, an \u201cadaptation gap\u201d arises: the time actually needed for transformation exceeds the time available, while the momentum for change continues to increase. The result is a loss of productivity, agility, and innovative strength \u2013 both in day-to-day operations and in strategic realignments and reorientations.<\/p>

From external control to self-organization \u2013 <\/strong>The article therefore advocates a paradigm shift: away from a Taylorist, externally organized understanding of transformation toward self-organized forms of adaptation. Nature serves as a reference: systems remain viable and capable of development if they collect information in a timely manner, communicate in a targeted manner, interact effectively \u2013 and organize themselves on this basis. Applied to companies, this means that methods and digital technologies must relieve information flows, shorten decision-making processes, and mobilize collective intelligence instead of regulating processes and multiplying levels of control.\u00a0The benchmark for any approach is therefore the extent to which it enables all employees to help shape change \u2013 while continuously reducing non-value-adding organizational and communication costs.<\/p>

The role of AI: from automation to augmentation \u2013 <\/strong>The way AI is used is at the heart of this realignment. The current focus of many initiatives on automation, monitoring, and central control exacerbates the paradox: it replaces human intelligence in specific areas, but often increases the complexity of the organization as a whole. AI only becomes effective when it enables and enhances the networking of human intelligence \u2013 in other words, when it acts as an augmentation rather than a substitute. AI should capture contexts, condense relevant information, suggest decision options, make implicit knowledge visible, and support coordination with virtually no friction. In this way, it reduces the transaction costs of collaboration, accelerates cycles of perception, decision-making, and implementation, and narrows the adaptation gap. It is not the \u201cexternally organized replacement\u201d of humans, but rather the \u201cintelligent, self-organized networking\u201d of humans by means of AI that thus becomes the actual basic innovation for economic, ecological, and social transformation.<\/p>

Requirements for investment and technology design – <\/strong>The diagnosis gives rise to clear requirements for future investment.<\/p>