Digital transformation is holding firm as a top priority for CIOs today. Over 80% of CIOs surveyed by Gartner say they increased investments in foundational capabilities that support digital transformation objectives in 2025. Yet despite those investments, many organizations are still struggling to turn transformation efforts into lasting business impact.
CIOs are under pressure to deliver continuous improvement in an environment shaped by legacy systems, accelerating digital technologies, and rising expectations around resilience, efficiency, and innovation. Transformation initiatives that rely on one-off projects or static roadmaps create flashes of progress, but do nothing to alter the broader current.
As our Banking Industry Principal explains, “an effective transformation isn’t about getting to a specific end point. It’s about being able to adapt to change faster, more easily, and more effectively. On a continuous basis.” For CIOs, this kind of sustainable transformation starts with building the foundations for ongoing change.
The challenges CIOs face in transformation projects
No two digital transformation journeys look the same, but the challenges faced by CIOs across different industries are remarkably similar. The most common obstacles they encounter include:
Stakeholder fatigue
After years of overlapping transformation programs and digital technology rollouts, who can blame many stakeholders for feeling disengaged? Teams are often asked to retrain and adapt to new tools and processes without visibility of how these changes will actually improve their everyday outcomes. When digital transformation efforts have been more disruptive than productive in the past, CIOs can struggle to get buy-in or maintain momentum.
Disconnected systems and data silos
Enterprise processes span several core systems, from ERPs and CRMs to more industry-specific platforms. Each system has its own data repository, usually inaccessible to and disconnected from the others. These silos hamper visibility, collaboration, and data-driven decision-making. And this issue is widespread: more than 4 in 5 (81%) IT decision-makers surveyed by MuleSoft say data silos are hindering digital transformation efforts.
Aligning IT with business strategy
When investments in digitalization don’t correspond with the wider business strategy, technical improvements are delivered without a direct line to business priorities or objectives. Only 48% of digital initiatives meet or exceed intended business outcome targets, according to Gartner research – clearly indicating the gap between strategy and execution. This misalignment makes it harder for CIOs to demonstrate enterprise value and secure ongoing support.
Managing costs & ROI
Today’s CIOs are overseeing a growing portfolio of initiatives, spanning cloud computing, data platforms, automation, Enterprise AI, and emerging technologies. The cumulative cost of tools, pilots, and programs makes it tricky to track where value is actually being created. On top of this, CIOs are expected to show sustained, enterprise-wide impact from digital transformation. Rather than traditional cost and efficiency metrics, digital transformation investments must be linked to operational performance and business outcomes.
But many solutions – particularly those driven by AI – struggle to realize meaningful returns if they’re forced to operate without a clear understanding of how the business operates. In fact, 82% of business leaders agree that AI solutions can only deliver ROI if they have the context of how the business runs.
Scaling challenges
Scaling from early success to enterprise-wide impact is one of the most persistent challenges for CIOs. Enterprise environments are rife with inconsistencies in processes, data definitions, and governance models across different departments. As transformation initiatives start to scale, these differences quickly become points of friction, slowing adoption and diluting results.
When CIOs lack a holistic view of how work actually gets done, they end up managing rising complexity without a clear roadmap from pilot to roll-out. They also miss the potential ripple effects of scaling, such as increased cybersecurity risks. This barrier to modernization is impacting 79% of IT leaders, who say their current observability and analytics tools don't provide the real-time process visibility they need.
Project-based transformation models
Many organizations still approach digital transformation as a series of finite projects with fixed scopes and timelines. A project-based model like this creates a “stop-start” dynamic that can’t accommodate the reality of modern transformation – where change is continuous, cross-functional, and must cater to constantly shifting market conditions.
This model also reinforces silos, as projects are typically owned by individual functions or regions, making it hard to coordinate change across processes that span multiple teams and systems. Once a project is “complete”, teams move on to the next initiative without extending new capabilities across the business, or measuring whether the expected outcomes have a sustainable future.
What is sustainable transformation?
Sustainable transformation is the opposite of that project-based approach. Instead of aiming for a single technological advancement, the goal of sustainable transformation is ongoing improvement. It gives an organization the agility to adapt, optimize, and evolve alongside the changing priorities of the organization and the demands of the market.
At its core, sustainable transformation should be continuous, composable, and data-led, and connected:
- Continuous, because transformation doesn’t end once a system goes live or a project closes
- Composable, because it’s vital that capabilities can be flexibly combined, adapted, and reused
- Data-led, because decisions about where to invest, the best use cases for digital tools, and how to scale have to be grounded in real-time operational visibility, not anecdotal evidence or static snapshots
- Connected, because transformation only works when IT, business teams, and AI systems operate from a shared understanding of how the business actually runs.
How CIOs can achieve sustainable transformation: from initiative to operating model
So how can CIOs drive sustainable digital transformation? The key is moving away from individual modernization initiatives, and embedding the concept of transformation into how the business operates every day. In practice, this means:
- Giving teams continuous visibility into process performance – not just within their function but across the business
- Aligning IT and other business leaders around shared outcomes, objectives, and business needs
- Using real-time insights to guide decisions, as and when market conditions and enterprise priorities change
By making performance gaps visible and measurable to every team across the enterprise, CIOs can build a culture where continuous improvement is the norm – reducing rework, and avoiding the need to launch new initiatives to fix recurring problems.
Such an approach helps CIOs do something that often feels impossible: deliver on two mandates at the same time. With operational visibility from the Celonis Platform, IT can optimize existing systems for efficiency (running the business) while identifying high-impact modernization and AI opportunities (transforming the business) – without having to choose between stability and innovation.
How Celonis supports the CIO’s vision
If you’re a CIO working towards sustainable digital transformation, Celonis can support you every step of the way. First, the Celonis Platform creates the Celonis Context Model – a living digital twin of your operations. It extracts structured and unstructured data across your systems and devices, then enriches it with your unique business context – everything from rules and KPIs to models and enterprise architecture. The Context Model provides continuous hindsight, insight, and foresight, giving IT and AI the operational understanding they need to drive sustainable transformation. This is the operational context layer that connects fragmented systems and teams into a unified view."
Celonis enables CIOs to analyze how processes actually run, so they can:
- Analyze where transformation efforts are needed most
- Design new processes that drive impactful, sustainable change
- Operate those new processes, orchestrating AI alongside your teams and existing systems to facilitate continuous improvement.
Lastly, Celonis makes it possible for CIOs to practice composability, so they can adapt and reuse modular solutions and processes in the most cost- and resource-efficient way.
Ultimately, Celonis empowers CIOs to close the knowledge gap that prevents alignment between transformation efforts and business goals, blocks effective scaling, and hinders RoAI (Return on Artificial Intelligence).
Find out more about how Celonis powers IT transformation.