What Digital Maturity Really Means and Why It’s So Hard to Achieve

Digital maturity is an organization’s ability to create value through digital technologies, supported by the right people, processes, culture, and customer‑experience capabilities. Mature organizations don’t just “use” digital tools, they operate with digital as a core competency, enabling them to adapt quickly, personalize experiences, and innovate at scale.

According to Prosci and Kissflow, digital maturity models help organizations assess readiness, benchmark against competitors, and identify the capabilities required to progress through increasingly sophisticated stages of transformation.

Most frameworks converge around four tiers of digital maturity, each defined by the sophistication of customer experience (CX), user experience (UX) and digital experience (DX) capabilities.

Crawl phase organizations have begun adopting digital tools but lack a cohesive strategy, governance or customer centric design. Digital efforts are fragmented and often driven by individual teams rather than an enterprise vision.

Characteristics

• CX: Basic customer touchpoints, inconsistent experiences across channels
• UX: Limited usability standards, interfaces vary widely by product or team
• DX: Legacy systems dominate and lack automation while facing challenges with data silos

Challenges

• Lack of unified digital strategy
• Fragmented data and no single customer view
• Difficulty securing executive buy‑in for transformation
• Overreliance on manual processes

Types of Companies Typically Found Here

These are often traditional industries early in transformation, regional banks, local retailers, or mid‑market B2B firms. Many companies begin here before adopting structured maturity models like Cognizant's Value Realization Framework. Walk phase organizations begin formalizing digital initiatives, investing in platforms and begin building cross‑functional teams. They adopt structured maturity assessments and start aligning digital efforts with business goals.

Characteristics

• CX: Defined customer journeys, early omnichannel consistency and basic personalization
• UX: Introduction of design systems while usability testing becomes more common
• DX: Cloud adoption accelerates, data pipelines begin to unify and workflow automation emerges

Common Challenges

• Scaling digital capabilities beyond pilot programs
• Integrating legacy systems with modern platforms
• Building cross functional collaboration between marketing, IT, and product
• Managing change across people, processes, tools and culture (a key barrier highlighted by Prosci)

Companies Typically Found Here

Mid‑sized retailers modernizing omnichannel experiences are common at this level of maturity, along with emerging healthcare providers moving into the digital age, behind digitizing patient records. Manufacturers, large and small, are growing in this tier of maturity as they chase automation and IoT. These organizations show momentum but haven’t yet operationalized digital as a core competency.

In the run phase, digital becomes embedded in the operating model. Organizations leverage data across the enterprise, automation becomes pervasive, and the goal becomes to deliver consistent, personalized experiences that are measurable across channels.

Characteristics

• CX: Customer‑centric strategy across the enterprise, advanced segmentation, omnichannel orchestration
• UX: Mature design operations, research‑driven product development, accessibility standards
• DX: Integrated platforms, real‑time data flows, scalable content and workflow systems

Companies at this level excel across six CX dimensions, including strategy, data landscape, and operating model.

Common Challenges

• Scaling personalization without compromising privacy
• Maintaining agility as teams and platforms grow
• Measuring ROI across complex digital ecosystems
• Recruiting and retaining digital talent

Companies Typically Found Here

Some strong examples of companies that are excelling in the run phase of digital maturity are Starbucks, who have mastered personalized loyalty and omnichannel commerce, Nike's D2C enterprise is a case study in how to own their product from supply chain to consumer and Target's omnichannel retail is a strong example of how to deliver omnichannel retail. Companies like these three demonstrate strong digital execution but are still evolving toward full enterprise‑wide intelligence.

Sprint phase digital organizations operate with real time intelligence, predictive analytics and AI driven decisioning which allow them to acheive the holy grail of digital operations. They've evolved digital from being a function into the operating system of the business.

 Characteristics

• CX: Hyper‑personalized, predictive experiences; real‑time journey orchestration; proactive service
• UX: Continuous experimentation; AI‑assisted design; adaptive interfaces
• DX: Fully integrated data ecosystems; automation at scale; AI‑powered optimization across the enterprise

Kissflow notes that digitally mature companies report significantly higher profit margins and outperform competitors due to their ability to leverage people, processes, and culture in tandem with technology.

Common Challenges

• Ethical AI governance
• Maintaining trust while using advanced personalization
• Scaling global digital operations
• Constantly evolving platforms to stay ahead of competitors

Companies Typically Found Here

Amazon's real time personalization and logistics intelligence are the envy of retailers everywhere. Netflix's ability to execute predictive content algorithms and adaptive UX pushes them into the sprint phase of digital maturity. These organizations set the benchmark for digital maturity across industries.

Many organizations embark on digital transformation with optimism, only to discover that achieving true digital maturity is far more complex than adopting new technologies. The real friction emerges in the foundational capabilities that determine whether digital investments translate into measurable business value. Across industries, companies consistently struggle in five critical areas: aligning culture & leadership around a unified digital vision, integrating fragmented data &legacy systems, building the talent & skills required for modern digital operations, establishing clear strategies & governance frameworks and managing the sheer complexity of scaling digital experiences across channels. These challenges don’t just slow progress, they create structural barriers that prevent organizations from moving beyond incremental improvements toward the adaptive, customer‑centric models that define digital leaders.

Cultural resistance happens when people inside an organization hold on to familiar habits and ways of working, even as new digital tools and processes are introduced. It often shows up as hesitation, skepticism or fear that change will disrupt roles or expose skill gaps. For companies trying to advance their digital maturity, this resistance slows momentum and prevents transformation from taking root across the business.

Fragmented data and legacy systems create one of the most persistent barriers to digital maturity because they prevent organizations from forming a unified view of the customer or scaling modern digital experiences. When data lives in disconnected platforms, outdated databases or departmental silos, teams struggle to orchestrate journeys, automate workflows, or personalize interactions in meaningful ways.  Legacy systems also slow innovation, since every new capability requires complex integrations, custom workarounds or costly modernization efforts. As a result, even well funded digital initiatives stall because the underlying infrastructure cannot support real‑time intelligence or cross‑channel consistency. The resulting disconnects are highly impactful to customer acquisition and retention. 

Research shows that companies without a cohesive vision struggle to scale digital initiatives. Many organizations believe they have a digital strategy simply because they’ve documented goals, purchased new platforms or launched a handful of transformation initiatives. In reality, what they often have is a collection of disconnected projects rather than a coherent strategy that ties technology, customer experience, data and operations together. A true strategy defines the outcomes the business is trying to achieve, the capabilities required to get there and the sequencing needed to make progress measurable. Without that clarity, teams interpret priorities differently, investments become scattered and digital efforts fail to build on one another. Leaders may feel confident that a strategy exists, but the day to day work reveals misalignment, competing roadmaps and a lack of shared definitions for success. This gap between perceived strategy and actual strategic clarity is one of the biggest reasons digital maturity stalls inside otherwise capable organizations.

When digital execution is not a core priority for the C‑suite, transformation efforts lose the authority, funding and cross‑functional alignment needed to succeed. Without visible executive sponsorship, teams treat digital initiatives as optional side projects rather than essential drivers of growth, which leads to inconsistent adoption and fragmented progress. Leaders set the tone for culture, accountability and resource allocation, so when they are not actively championing digital change, the organization defaults to legacy habits. As a result, even strong strategies and capable teams struggle to gain traction because the enterprise lacks the top down commitment required to turn digital ambition into operational reality.

Advanced digital capabilities require specialized skills in AI, design, data engineering, and journey orchestration. Many companies lack the digital talent they need because their existing workforce was built around legacy processes, not the data, design and engineering skills required for modern digital operations. Competition for specialized roles like AI engineers, martech practitioners, product designers and data scientists is intense, which makes it difficult and expensive for organizations to attract and retain talent. Even when companies hire strong talent, they often struggle to create the culture, career paths and operating models that allow these digital specialists to maximize their skills and thrive, leading to turnover and stalled transformation efforts

70% of digital transformations fail to meet their goals, often due to misalignment between technology, people and processes decision makers. Digital integration is complex because modern platforms, legacy systems, customer data and operational workflows all need to connect in ways they were never originally designed to. Each new tool adds dependencies, data flows and governance requirements, which makes even simple changes ripple across the entire ecosystem. As a result, organizations often struggle to move quickly, since every integration decision carries technical, operational and customer experience implications.

Conclusion

Digital maturity is not a destination, it’s a continuous evolution. Organizations progress through tiers by aligning strategy, customer experience, design, data and culture. The companies that succeed are those that treat digital as a core enterprise capability, not a project. Digital needs to become a part of an organization's DNA.