Centralization in business refers to an organizational mode where decisions, data, and processes converge towards a single point, often the general management or a central IT system. This model has long structured the management of organizations, but several recent developments expose its structural flaws.
Decision Bottleneck: The Hidden Cost of Centralization in Business
In a centralized organization, every decision is funneled up to a limited number of people. This mechanism creates a decision bottleneck that slows down the entire operational chain. The larger the company grows, the tighter this bottleneck becomes.
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The problem is not limited to slowness. Managers concentrate on solving problems at all levels, including those that field teams could handle independently. This overload produces two simultaneous effects: the exhaustion of decision-makers and the passivity of collaborators, who lose the reflex to make decisions on their own.
The limits of this functioning, already documented in medium-sized structures, are exacerbated by hybrid telework. An analysis published by McKinsey in June 2024 shows that groups that maintained centralized governance after a merger-acquisition while adopting hybrid work experience significantly longer decision-making times than those that delegated some authority to local teams.
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The reasons for this observation are available on Jeune et Actif for further insight.
Resilience and Data Security in the Face of Centralized Architectures
Concentrating all critical data and processes on a single reference point exposes the company to a major risk: the single point of failure. If this system fails, all activity comes to a halt.
This risk is no longer just theoretical. The European regulation DORA (Digital Operational Resilience Act), which came into effect on January 16, 2023, and is applicable from January 2025, requires financial institutions to diversify and segment their critical systems to reduce this type of vulnerability. ESMA published its technical standards on ICT risk management on December 17, 2024, emphasizing the need for continuity plans based on scenarios of central system failures.
This regulatory pressure extends beyond the financial sector. ANSSI, in version 2 of its guide “Mastering the Digital Chain” published in October 2023, explicitly recommends avoiding all-in-one architectures and overly centralized references for critical functions. For companies that manage sensitive data or rely on cloud tools, this recommendation is a game changer.
- The DORA regulation mandates a mapping of IT dependencies and segmentation of providers, making the “one tool for everything” model difficult to comply with.
- ESMA standards require resilience testing simulating the loss of a central system, which often reveals the absence of a backup plan in centralized organizations.
- ANSSI discourages single references for critical functions, pushing towards a controlled distribution of information.
Centralized Organization and Loss of Team Agility
Centralization produces a less visible but equally problematic effect: the gradual loss of collective intelligence. When every initiative must be escalated for validation, teams stop proposing solutions. Field expertise fades behind procedure.
This phenomenon particularly affects companies that centralize not only decision-making but also tools and processes. A marketing department that must wait for approval from the central IT service to modify a workflow, or a sales team that cannot adapt its pitch without hierarchical green light, loses responsiveness against the competition.
The current context amplifies this problem. Market cycles are shortening, customer expectations are changing rapidly, and geographically distributed hybrid teams need local leeway. A centralized organization makes slow decisions in an accelerating environment.
Alternatives to Centralization: Controlled Decentralization and Subsidiarity
Moving away from centralization does not mean descending into chaos. The most coherent path rests on the principle of subsidiarity: each decision is made at the level closest to its impact and escalated only when local competence or authority is insufficient.
In practice, this involves several structural adjustments:
- Defining clear autonomous decision-making scopes for each team, with thresholds beyond which arbitration escalates.
- Distributing data and management tools across multiple interoperable solutions rather than concentrating everything on a single platform.
- Training managers to be facilitators rather than validators, accepting that some local decisions may not be optimal but will be made in time.
- Establishing feedback mechanisms that replace ex-ante control with ex-post learning.
This approach also addresses the regulatory constraints mentioned earlier. A distributed architecture, with segmented systems and decentralized processes, more easily complies with the operational resilience requirements set forth by DORA or the recommendations from ANSSI.
Centralization in business has worked in a context of stability and linear growth. Recent regulatory constraints, the widespread adoption of hybrid work, and the acceleration of market cycles render this model structurally fragile. Organizations that delay distributing their decisions and systems expose themselves to both compliance risks and an erosion of their adaptability.