Technology that truly accelerates business
Fujitsu / April 16, 2026
In today’s digital economy, acceleration is everything—but it’s often misunderstood. Accelerating a business doesn’t mean simply running IT systems faster. True acceleration comes from reducing friction, lowering operational effort, preventing errors, and shortening the time it takes to deliver value. It’s about freeing up capacity so organizations can continuously adapt and evolve.
Contents
- The reality: balancing between today and future demands
- The hidden trap: a negative feedback loop
- Maintenance: how to make it more efficient
- Projects: how to increase effectiveness and add more value
- The overlooked priority: preparing for what’s next
- How AI can help?
- Breaking the cycle
- Accelerate with confidence
The reality: balancing between today and future demands
Most organizations struggle to accelerate, now and in the future. Not because they lack ambition, but because their IT resources are split across three competing areas:
- Maintenance – keeping existing systems available, secure and compliant
- Projects – delivering new capabilities to create value and enable growth
- Future preparation – addressing what’s coming next, these topics ask for preparation before urgency takes over.
These aren’t optional—they’re structural realities. And they all compete for the same limited time, budget, and talent. The result? A constant balancing act where urgent operational work often wins, and strategic progress slows.
The hidden trap: a negative feedback loop
Over time, a predictable pattern emerges. Maintenance consumes an increasing share of capacity, forcing projects to be delayed or scaled back. As modernization slows, technical debt continues to build, while every new project adds to the systems that must eventually be maintained. This growing operational burden pushes future-focused initiatives aside until they become urgent—and far more costly to address. Ultimately, acceleration stalls—not for lack of ideas, but because the system itself becomes the constraint.
I will explore these dependencies in this blog with you, but you can also find all insights into our interactive e-book >>.
Maintenance: how to make it more efficient
Maintenance is the backbone of IT. It keeps the business running. But it comes at a cost:
- It often consumes more than half of IT budgets
- It is continuous and unavoidable
- It prioritizes urgency over innovation
When maintenance becomes inefficient, it doesn’t just cost more—it limits everything else. Therefore it’s important to reduce the operational burden. There are two ways how to do this. First, is to reduce the workload itself, for example by decommissioning legacy systems. Second, by standardizing processes and using AI and automation organizations can also make maintenance more efficient. The key insight: efficiency alone isn’t enough. If the workload keeps growing, gains will be temporary. Real relief comes from reducing complexity at the source.
Projects: how to increase effectiveness and add more value
Projects are where transformation happens. They introduce new capabilities, enable growth, and unlock innovation. But they come with a trade-off. Every successful project requires ongoing support and maintenance and competes for the same resources as operations. Therefore it’s important to plan for the full lifecycle—including how systems will be operated and eventually retired. In addition, standardized platforms and the use of AI can help to reduce errors and accelerate development.
The overlooked priority: preparing for what’s next
Future-focused initiatives—such as AI adoption, regulatory change, or digital sovereignty—rarely feel urgent in the moment, which is precisely why they are often delayed. However, postponing them comes at a cost. It can lead to reactive, less well-considered infrastructure decisions, where critical elements like security are treated as an afterthought. Effective preparation doesn’t require large upfront investment. It starts with assigning ownership, running small proofs of concepts, adding topics to the roadmap early and creating visibility across teams. This creates space for informed, deliberate decisions—before urgency takes over.
How AI can help?
AI doesn’t sit outside this system—it operates within it. Used correctly, AI can reduce maintenance effort through automation, improve project outcomes by minimizing errors, and enable faster insight and support decision-making. But without strong governance, AI can also increase complexity and risk. The goal isn’t to deploy AI everywhere—it’s to apply it where it reduces friction and improves control. This applies to how IT can help in breaking the negative feedback loop between these priorities. When cloud, platform engineering, security and AI reinforce one another, they unlock the conditions for sustained progress.
Breaking the cycle
Where maintenance is about efficiency, projects is about effectiveness and future topics are about relevance. IT can help in all three areas to achieve these goals. That’s how successful organizations are able to find a way to balance day-to-day demands with future requirements. That means:
- Decommission deliberately – remove what no longer adds value
- Simplify platforms – reduce fragmentation and duplication
- Design for lifecycle – include ownership and end-of-life planning
- Protect future capacity – keep preparation on the roadmap
Accelerate with confidence
Sustainable acceleration isn’t about pushing teams harder or moving faster at all costs. It’s about making smarter trade-offs. With proven experience in complex modernization and deep platform expertise, Fujitsu supports organizations in this journey through a holistic approach that brings together consulting, delivery, and ongoing operations. Organizations that get this right don’t just move faster—they move with confidence.
Discover more insights in our e-book: https://indd.adobe.com/view/e8ff3364-baad-435d-822f-060586ff2832
Jan van der Torn | LinkedIn
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