What is digital transformation?

Digital transformation is the process of integrating digital technologies into every area of a business. It changes how an organization operates, delivers value to customers, and interacts with internal and external stakeholders. It’s not limited to adopting a few new tools or migrating data to the cloud — it involves rethinking processes, roles, and even business models to take advantage of technology more effectively.

Some examples include automating routine customer service requests with AI chatbots, shifting in-person services to digital platforms, or using analytics dashboards to monitor performance in real-time. In IT environments, it often starts with the adoption of platforms like ITSM tools, cloud infrastructure, or data-driven monitoring.

At its core, digital transformation is both a technological and cultural shift. It requires organizations to review outdated practices, make data accessible and actionable, and encourage collaboration across teams. That’s why it often moves in phases and is closely tied to an organization's level of IT maturity.

Why is digital transformation important?

Organizations that don’t evolve tend to fall behind. Customers expect quick responses, consistent digital experiences, and transparency. Employees look for tools that make their work easier, not more complicated. Digital transformation helps companies meet those expectations by building systems that are flexible, scalable, and built to adapt.

From a business standpoint, digital transformation supports long-term efficiency. It helps organizations reduce manual workloads, improve service delivery, and gain real-time insights into how things are running. For IT teams, it also enables smarter resource planning and incident resolution. 

5 benefits of digital transformation

While each organization will experience different outcomes, several benefits tend to come up consistently.

1. Improved operational efficiency
   Automation, standardization, and better use of data lead to faster processes and reduced manual effort. Teams can focus more on strategic work instead of routine tasks.
    
2. Greater visibility and control
   With centralized data and connected systems, organizations can track performance, spot issues earlier, and make more informed decisions. This is especially valuable for IT, where visibility can prevent downtime and help plan capacity more effectively.
    
3. Better customer and employee experiences
   Digital tools allow for faster service, more personalized experiences, and self-service options. For employees, modern platforms reduce friction in their daily workflows.
    
4. More scalable and adaptable systems
   Digital environments are typically easier to adjust when business needs change. Whether it’s onboarding a new business unit or shifting to remote work, the infrastructure can grow with the organization.
    
5. Lower risk through standardization and monitoring
   When processes are digitized and repeatable, there’s less room for error. Plus, real-time monitoring and alerting help identify risks early — whether that’s a service outage or a potential security issue.

What drives enterprise digital transformation?

Organizations don’t transform just because it sounds good on paper. In most cases, several internal and external forces push them to act.

These are some of the most common drivers that push companies to rethink how they work:

• Growing operational complexity
  As companies expand, so do their systems. What worked for a 20-person team starts to break down at scale. Manual processes, disconnected tools, and legacy infrastructure create friction that holds teams back. Digital transformation helps reduce that friction with automation, integration, and standardization.
   
• Competitive pressure
  Organizations feel the need to keep up with — or get ahead of — others in their industry. When competitors start offering better online services, faster response times, or self-service options, it becomes harder to stay relevant without making similar improvements.
   
• Compliance and regulatory demands
  Industries like healthcare, finance, or government need to meet strict compliance requirements. Digital solutions — particularly those with built-in auditing, encryption, and role-based access — make it easier to meet these obligations while maintaining operational efficiency.
   
• Employee and customer expectations
  Today’s workforce expects flexible tools, faster service, and better collaboration. The same goes for customers, who are used to seamless experiences across devices and channels. Companies that lag behind risk losing both talent and business.

However, what matters is using these drivers with purpose, not just because everyone else is. Transformation becomes surface-level without strong leadership and a clear plan. 

Following every new tool or idea without structure can create more noise than value. As put in the influential book Leading Digital this is the “Fashionista” approach: chasing the latest tech without addressing core processes or setting direction. The result is often wasted investment and disconnected systems that can't scale.

Digital transformation challenges

Even with a solid roadmap and leadership support, digital transformation doesn’t come without friction. Below are some of the most common challenges organizations face: technical, cultural, and operational.

Fragmented and low-quality data

Many companies begin digital transformation without a clear picture of their data. In fact, 42% of organizations report dealing with data silos, and 47% cite data quality issues, according to a study by Broadridge. When data is scattered across tools or owned by disconnected teams, it’s hard to use it in any meaningful way. Poor-quality data makes the problem worse — automated systems, analytics, and AI all rely on clean, accurate input.

Looking ahead, data quality will be the foundation for future AI capabilities, which are still evolving. If your data is unreliable today, the gap will only grow as new tools demand more from it.

Cybersecurity concerns

Security is one of the most persistent challenges in digital transformation. Expanding digital infrastructure creates more access points, making security a key concern. As systems connect through APIs, cloud platforms, and third-party services, the attack surface grows — especially if access management or data protection isn’t well defined.

Legacy systems add another layer of risk. Many weren’t built with today’s security standards in mind and may lack basic protections like encryption or patching support. When these systems are integrated with newer tools, they often introduce hidden vulnerabilities.

Security teams need to be involved from the beginning. Treating cybersecurity as a last step leads to missed risks, higher costs, and slower response when issues surface.

Disconnect between IT and the rest of the business

One of the most overlooked challenges is the communication gap between IT and other departments. While IT teams are often well-versed in structured processes and workflows, that knowledge doesn't always get shared clearly. Other teams might not understand how ticket flows work, or why consistent categorization matters — yet those concepts are essential when scaling automation or improving service.

“IT, and the ITIL world, we've been doing this stuff for a long time. We've got really good ideas about how ticket flows work, how processes work, how categorization could work, and things like that. One thing I find very interesting when you talk to other parts of the business, they have a vague idea of how some of this stuff works, but they're not nearly as progressed as IT is…”

Kevin Clark, Episode 7 of Ticket Volume

Digital transformation is slowed down when teams operate in silos — not just technically, but in how they collaborate and speak to each other.

Delivering meaningful customer and employee experiences

Digital transformation only works when the people using your services — both customers and employees — actually feel the difference. But new technology doesn’t improve experience by default. Without understanding what users really need, even the most advanced systems can feel disconnected or frustrating.

Customers expect smooth interactions, relevant communication, and quick access to support. Employees want tools that make their work easier, not more complicated. If either side gets overlooked, service suffers.

The strategy to improve both is the same:

• Understand real behavior and pain points.
• Reduce friction in everyday tasks and interactions.
• Involve people early, communicate clearly, and offer training.

Resistance and cultural misalignment

Even with the right tools in place, digital transformation efforts often fail because people aren't ready — or willing — to adapt. Resistance can come from all levels: leadership unsure about shifting priorities, employees hesitant to trust new systems, or departments used to working in silos.

Reluctance to change often stems from poor past experiences, maybe systems that didn’t work, or workflows that didn’t match reality. If new systems feel forced or disconnected from real needs, they won’t deliver the value they were meant to.

When technology is introduced without addressing the mindset shift needed to support it, people tend to stick to outdated processes, avoid cross-functional collaboration, or simply fail to see the value of change.

As a cultural shift, digital transformation requires more than top-down mandates. You need clear communication about the “why,” visible support from leadership, and early involvement from the teams impacted.

“If you look at it, people don't jump on these frameworks thinking it's all process design, and it's all about the tools and the practices. We're really trying to get people to behave differently, but we forget how difficult it is to change behaviors.”

Paul Wilkinson, Ticket Volume - Episode 30

How to get started with digital transformation? Strategy and process

Many companies want to modernize their operations but aren't sure how to begin. A successful digital transformation doesn't start with tools — it starts with a strategy. That strategy must be grounded in how your organization works, what problems you’re solving, and who needs to be involved.

Although there’s no universal playbook, let’s explore a digital transformation roadmap that helps align your technology efforts with your business goals.

Build the foundation

Before thinking about tools or projects, organizations need to strengthen three areas:

• Digital skills: This includes the experience, technical knowledge, and digital literacy of your staff. It’s not just about hiring new roles — it’s about helping current teams learn how to use data, automation, and digital systems effectively in their day-to-day work.
• A structured digital platform: You need a stable, scalable platform to support your digital initiatives. That could mean cloud-based infrastructure, integrations between systems, or modern IT Service Management tools that help centralize requests, workflows, and asset tracking.
• A strong IT-business relationship: For years, IT was seen as a separate function, simply supporting the business. That model no longer works. Digital transformation requires both sides to collaborate continuously, share ownership of outcomes, and make decisions together.

Without these three elements in place, most transformation efforts will stall or stay siloed.

Align the digital transformation process

Once the groundwork is in place, it’s time to define a practical process. These digital transformation steps can guide your efforts:

• Assess your current state: Always start a digital transformation process with a clear understanding of how your organization currently operates. Where are the inefficiencies? Which systems don’t talk to each other? What data is missing? A full IT asset inventory or CMDB can help here.
• Set business-driven goals: Choose specific, measurable outcomes. For example, reduce incident resolution time, shorten procurement cycles, or improve remote onboarding. Make sure these goals reflect business priorities.
• Develop a digital transformation roadmap: Plan a phased approach. Outline which initiatives you’ll address first and what dependencies exist. Some companies create a dedicated unit to oversee the roadmap; others embed responsibilities into existing teams. Either way, clearly assign ownership and track progress.
• Enable cross-functional teams: Form multidisciplinary teams that combine technical experts with professionals who deeply understand the business. Ensure these teams work with shared objectives and fluid communication.
• Iterate, evaluate, and adjust: Transformation isn’t a one-time event. Build in feedback loops. Track performance through KPIs or dashboards, review outcomes regularly, and adjust priorities as needed. An ongoing evaluation process makes it easier to pivot when necessary.

“There are no quick fixes. You can’t simply implement a system or a technology and be done. Instead, success means having hundreds of technology-driven solutions working together that you continually improve to create great customer and employee experiences, lower unit costs, and generate value.”

McKinsey & Company – Rewired to outcompete

Digital Transformation Management: Putting together a team

Digital transformation needs more than good technology — it needs the right people, aligned around a shared direction. While the structure can vary across organizations, some roles almost always play a central part in driving the process forward.

At a minimum, you’ll want to engage:

• Executive leadership – especially the CEO and CFO, to sponsor initiatives and tie them to strategic business goals.
• CIO or CTO – to guide technology selection and infrastructure changes.
• Heads of business units – to define how digital changes support department-specific goals.
• IT and operations leaders – to implement and support new systems.
• Change Management and HR representatives – to support adoption and training.
• Data and analytics roles – to measure progress and inform future steps.

Everyone doesn’t need to be involved in every detail, but they must be aligned. Most importantly, that alignment must be structured, and the method will depend on company culture and leadership style. Next, we’ll list some proven models. Consider that they are not mutually exclusive, and you may find that combining elements of each approach yields the best results.

Executive-led alignment

In this model, the CEO or another senior executive directly sponsors the transformation. They make it clear that digital change is a company-wide priority. The CIO is brought into the top leadership team and works closely with other executives to bridge business and IT. This approach works best when digital transformation is tied to a broader strategy or major shifts in direction.

Main sponsor: CEO or equivalent
Best suited for: Company-wide transformation efforts driven from the top

Business process ownership

Here, transformation is distributed. Business units take ownership of their own processes, with designated process owners deciding how work should change. These owners coordinate with IT and other teams to make improvements. The CIO still plays a key role, but they act more as a partner than a central authority.

Main sponsor: Heads of business units or process owners
Best suited for: Organizations that want to empower departments and avoid centralized bottlenecks

Shared reporting under operations

Some organizations align technology and operations under the same executive, often a COO or a Chief Transformation Officer. This model reduces friction by keeping decisions and execution closer together. Teams are more likely to stay focused on outcomes rather than competing priorities.

Main sponsor: COO or shared executive sponsor
Best suited for: Projects focused on process efficiency, automation, or infrastructure modernization

Dedicated transformation teams

Another option is to create a specific team or unit to deliver digital initiatives. This group might include a mix of roles — project managers, developers, designers, analysts — either fully dedicated or partially assigned from other departments. They report to a transformation lead who acts as the sponsor and coordinator.

Main sponsor: Chief Transformation Officer, Chief Digital Officer, or program lead
Best suited for: Larger companies or those with complex, multi-phase roadmaps

Regardless of the model, alignment only works when everyone understands who owns the work and how decisions are made. The structure should match the scale of the change and the pace the organization is ready to support.

Digital transformation examples and case studies

Digital transformation can look different depending on the business function or industry — these examples illustrate how organizations apply technology to improve operations and deliver more value.

Digital transformation examples by areas

• IT: Digital transformation in IT often centers around modernizing infrastructure, automating workflows, and improving visibility into operations. Projects can involve rethinking service catalogs or adopting more proactive Service Management models. For example, organizations might shift from reactive ticket management to predictive incident prevention using AI-powered tools. 
  
  Example: Schneider Electric implemented AI-powered predictive maintenance and automated IT operations, reducing downtime and enabling a shift from reactive to proactive IT Service Management.
   
• HR: HR transformation usually focuses on giving employees more control over their own data and making processes like onboarding, feedback, and benefits enrollment more efficient. Self-service portals, centralized analytics, and automated workflows replace long email chains and manual approvals.
  
  Example: Heineken consolidated over 60 HR systems into a single digital platform, enabling employees to manage benefits, time off, and performance reviews through self-service portals, significantly improving user experience.
   
• Finance: Digital transformation in finance involves automating processes, especially for compliance in a highly regulated area. Some initiatives include adopting Enterprise Resource Planning (ERP) systems, implement robotic process automation (RPA), and utilize advanced analytics to enhance financial operations. These initiatives aim to increase efficiency, accuracy, and strategic decision-making capabilities.
  
  Example: Atlas Credit Union significantly improved its financial operations by moving its data management to a secure cloud platform and incorporating advanced data analytics tools, resulting in efficient processing of large data volumes, a 90% reduction in system downtime, and the ability to generate predictive financial insights.
   
• Procurement: In procurement, digital transformation focuses on automating supplier management, enhancing transparency, and reducing costs. Organizations implement e-procurement platforms, utilize AI for spend analysis, and adopt blockchain for secure transactions. These technologies enable more strategic sourcing, improved compliance, and better supplier relationships.
  
  Example: Siemens digitized its procurement processes to improve efficiency and supplier collaboration. By leveraging automation and data analytics, Siemens enhanced its procurement strategies, reduced manual errors, and achieved cost savings.
   
• Customer Service: Digital transformation in customer service involves leveraging digital channels and AI to provide personalized and efficient support. Organizations deploy chatbots, implement CRM systems, and utilize data analytics to understand customer behavior. These initiatives aim to enhance customer satisfaction, loyalty, and overall experience.
  
  Example: Starbucks utilized AI technology for their Deep Brew platform, to enhance customer satisfaction through personalized recommendations. By analyzing customer data and preferences, Starbucks tailors marketing efforts and customizes product offerings.

Digital transformation examples by industries

• Healthcare: Hospitals and clinics face the challenge of digitizing services while staying compliant with strict patient privacy regulations like HIPAA. Digital transformation in this space often involves electronic health records, telemedicine, and AI tools to support diagnostics or administrative triage. The Mayo Clinic, for instance, uses advanced data analytics to personalize patient care and improve outcomes without compromising confidentiality.
   
• Banking: Banks need to modernize legacy systems while keeping security airtight. Digital transformation efforts here focus on automating core processes, enabling mobile-first services, and using AI to detect fraud or offer tailored financial advice. JPMorgan Chase, for example, uses a software named CoiN that automates hundreds of legal document reviews in seconds.
   
• Manufacturing: In manufacturing, the main challenge is connecting legacy equipment to modern systems without interrupting operations. Many companies adopt IoT and predictive maintenance to reduce downtime and improve productivity. Bosch implemented digital twins and real-time analytics to simulate production lines, improving efficiency and reducing waste.
   
• Retail: Digital transformation for retail is crucial, mainly because they need to keep up with shifting consumer behavior. Common initiatives include omnichannel platforms, personalized marketing, and real-time inventory systems. Nike used its transformation to integrate digital and physical retail, offering app-based store experiences and direct-to-consumer personalization.
   
• Government: Public agencies often struggle with outdated infrastructure, strict procurement processes, and rising citizen expectations. Digitization efforts for government focus on improving service accessibility, automating paperwork-heavy services, and securing citizen data. Estonia is a standout example — it digitized over 99% of public services, from tax filing to voting, all through a secure national digital ID system.

How InvGate helps with digital transformation

ITSM and digital transformation often go hand in hand because ITSM provides the essential governance framework that these initiatives need to succeed. In a recent KPMG study with over 2,000 executives, 46% identified "technology functions lacking governance and coordination" as the primary obstacle to transformation success. ITSM addresses this directly by implementing standardized workflows, clear ownership structures, and measurable service levels that create the operational discipline necessary for complex digital initiatives.

The Service Management approach extends beyond IT through Enterprise Service Management (ESM), applying these same principles to standardize service delivery across HR, facilities, finance, and other business units. It creates a unified operational language that breaks down departmental silos — a critical requirement when implementing cross-functional digital solutions. 

InvGate builds upon these ITSM and ESM foundations with practical tools designed specifically for organizations undergoing digital transformation. Its Service Management platform integrates Change Management capabilities that document and control the rapid technological changes inherent in transformation initiatives, while its Asset Management tool provides the single source of truth about IT infrastructure that transformation leaders need for strategic decision-making. 

InvGate's implementation methodology focuses on quick time-to-value, typically within weeks rather than months, which aligns with the agile, iterative approach that successful digital transformations require. The combination of governance, cross-functional applicability, and rapid implementation makes InvGate particularly valuable for organizations seeking to build a solid foundation for sustainable digital transformation.

AI and digital transformation

Due to its many applications, AI is expected to become the primary driver behind most digital transformation initiatives in the coming years. Today, companies can collect and analyze vast amounts of data through machine learning, natural language processing, and computer vision systems, generating insights that guide better decisions.

Automated processes reduce manual workloads in many areas and allow human workers to focus on more complex tasks that require judgment and creativity. Data analytics benefits substantially from AI capabilities. Organizations can now process unstructured data from multiple sources, identifying patterns humans might miss.

Several key digital transformation trends connect with AI adoption:

• Personalization at scale now exists through AI systems that tailor experiences to individual users based on their behavior patterns and preferences. This appears in recommendation engines, custom interfaces, and targeted communications that adjust automatically to user responses.
   
• Predictive maintenance systems monitor equipment performance using sensors and machine learning algorithms, identifying potential failures before they happen.
   
• Supply chain optimization through AI allows for more accurate demand forecasting, inventory management, and logistics planning, reducing costs and improving resilience against disruptions.
   
• Security systems increasingly rely on AI to detect anomalous patterns that might indicate threats, responding faster than human analysts could alone.

Implementation challenges persist despite these benefits. Up to 70 percent of the work that goes into creating and adopting AI solutions is spent on managing and standardizing data. There are also skills gaps and integration complexities. Moreover, privacy concerns and ethical considerations require careful management throughout the process.

Still, AI will continue to advance how organizations approach digital transformation, with an increasing focus on responsible development practices and human-AI collaboration models.

Digital transformation courses, training, and certifications

Digital transformation courses, training programs, and certifications are designed to equip professionals and leaders with the skills and strategic vision necessary to lead these changes successfully. Below is a curated list of recommended resources for continued learning:

• Stanford Digital Transformation Program: This program covers both technical (AI, data science, crowdsourcing) and managerial skills (strategy, culture, innovation, leadership) required for digital transformation. It’s designed for leaders and employees aiming to foster a digital culture.
• Cornell AI for Digital Transformation Certificate Program: A three-month program that teaches how to leverage AI and digital technologies to support organizational transformation. It includes live discussions, practical projects, and culminates in a certificate from Cornell Tech. Targeted at executives, consultants, and policymakers.
• MIT Digital Business Strategy: Harnessing Our Digital Future (MIT Sloan Executive Education): A six-week online certification program that explores the balance between traditional and digital strategies, disruptive technologies, and the digital economy.
• Boston University Digital Transformation Strategy (edX): A six-week course focusing on digital ecosystems, transformation phases, and machine learning, suitable for professionals at all levels. The course is available online and provides a certificate upon completion.
• InvGate Enterprise Service Management (ESM) Course: A free, practical course that teaches how to extend IT Service Management principles across the entire organization to improve processes and collaboration. It covers ITIL basics, Change Management, and service strategy. Ideal for IT and business leaders driving digital transformation. Plus, the book Introduction to Enterprise Service Management is a companion guide that complements the course with in-depth info, key concepts, and best practices.