Strategic imperatives of transformation

      In today’s volatile business environment, digital transformation has shifted from a competitive advantage to a matter of survival. Simply adding new technologies is not enough.

      True business transformation means rethinking and reshaping business models, operations, and end-to-end processes. The goal is clear: Technology must become an engine for strategic growth, not just a supporting tool.

      Stefan Wälti

      Partner, Head of Assurance Technology

      KPMG Switzerland

      François El Assad

      Partner, Assurance Technology

      KPMG Switzerland

      Driving technology-enabled growth for a future-ready business

      ERP transformations as high-risk, high-impact initiatives

       

      ERP transformations replace or modernize the core systems. These include finance, supply chain, human resources, procurement, and other vital business processes. Because these systems are central to operations, ERP implementation projects are among most complex, costly, and risky transformation initiatives.

      Such projects demand more than new technology. They often require rethinking how the business itself operates. From an audit perspective, ERP transformations generate recurring findings that boards and audit committees must understand. These findings mirror the broader challenges of digital transformation – from ERP risks and people change management to cost transparency and governance.

      Why audits matter in transformation programs

       

      Audits of transformation programs provide more than completeness checks. They uncover critical insights into what drives success or failure.

      Across industries, certain patterns appear consistently. These patterns often decide whether an organization meets its strategic goals or falls short.

      A particular area where these lessons are especially visible is in Enterprise Resource Planning (ERP) transformations.

      Four key principles for lasting impact

      Organizations that apply the following principles are more resilient, adaptable, and competitive. For Boards and Audit Committees, embedding these imperatives in ERP transformation strategies is essential for sustainable results.

      • Cut complexity

        Simplify system architectures by removing redundancies and standardizing end-to-end processes into one ERP. A leaner architecture increases agility and reduces long-term maintenance costs.

      • Leverage AI and Automation

        Build intelligent automation directly into operational processes. This improves speed, accuracy, and operational efficiencies. It also frees teams  to focus on higher-value work instead of repetitive tasks.

         

      • Drive agility with cloud ERP

        Adopt cloud platforms – especially SaaS models – for scalable infrastructure, robust security, and continuous innovation. Such programs reduce on-premises maintenance and provide the flexibility needed in fast-changing markets. 

      • Strengthen people change management

        Assess how much change your organization can absorb. Break large steps into manageable phases and tailor the change management approach to ensure adoption.

      What can boards learn from past transformation audits?

      A frequent reason transformations stumble is the misconception that readiness is purely technical. True readiness goes far beyond system configuration and requires organizational, process, and people alignment with business requirements. 

      • User adoption and acceptance:

        Without proper training and communication, employees struggle to adapt to new ways of working. This leads to poor adoption rates and growing resistance.

      • Clear operating models:

        Missing responsibilities, workflows, and governance structures after go-live often creates confusion and inefficiencies.

      • Unfinished tasks:

        Incomplete process design, data migration, or documentation at launch adds rework, increases costs, and undermines confidence in the new system.


      • Key takeaway

        Treat go-live as a business milestone, not an IT milestone. The organization must be prepared to operate effectively from day one.
         


      How can boards spot transformation hurdles early?

      To steer transformations effectively, boards and audit committees must ask the right questions at the right time. Recognizing risks early helps avoid costly delays and failed outcomes. Here are common pitfalls to watch for:

      Lack of urgency and follow-through

      Many programs start strong but lose momentum. This happens when:

      • The business case is unclear or not fully supported by management
      • Competing priorities dilute focus and resources
      • Program and quality metrics are tracked inconsistently

      Key takeaway:

      Treat transformation like a marathon with multiple sprints. Use audits and quality assurance reviews as an opportunity to realign and re-energize teams. 


      Over-optimism and ignored risks

      Audit logs show that early warnings are often downplayed or ignored. This includes:

      • Data migration challenges
      • Underestimated costs and lack of cost transparency
      • Overlooked interdependencies with other systems and processes

      Key takeaway:

      Encourage unambiguous honesty in steering committees. Revisit risks not only during crises but routinely, as a discipline.


      Lack of education and awareness

      When employees do not understand the "why" of a transformation, adoption declines. This leads to:

      • Return on investment (ROI) drops because new processes are not used as intended
      • Workarounds and shadow IT appear, creating risks for data integrity
      • Low morale as uncertainty and resistance grow

      Key takeaway:

      Boards should ensure a clear change management and training plan. Transformation succeeds only when employees change the way they work.


      Cloud and AI: Strategic considerations

      Audits of cloud and AI initiatives show that organizations often underestimate cultural and governance challenges when adopting advanced technologies.

      • Cloud cost optimization is cultural, not just technical

        Cost management tools alone do not reduce spending. Success requires:

        • Visibility of costs across teams
        • Incentives aligned with efficiency goals
        • Leadership engagement and oversight

         

        Key takeaway: Ensure cloud financial governance is embedded in the company culture. It cannot be managed by IT or finance alone.

      • AI drives cloud consumption and budget pressure

        AI workloads can exceed forecasted cloud usage due to:

        • Usage-based pricing by providers
        • Rapid adoption of immature tools
        • Shadow AI – teams deploying agents or platforms without oversight

         

        Key takeaway: Establish a centralized AI governance framework. This helps manage financial risks and ensures a cohesive, organization-wide AI strategy.

      • “Cloud First” is not a strategy - outcomes are

        Many cloud programs lack a solid business case. Typical pitfalls include:

        • Projects without clear problem statements
        • Technology migrations that fail to improve user experience or reduce costs

         

        Key takeaway: Define the desired business outcomes first. Every cloud or AI initiative must have a clear “why” and measurable benefits – otherwise it adds complexity without value.

      Readiness checklist for boards & audit committees

      A well-governed transformation starts with asking the right questions at the right time. This checklist helps Boards and Audit Committees assess whether the organization is truly prepared for a major transformation initiative: 

      Strategic alignment

      • What problem are we solving?

      Ensure that the transformation addresses a clearly defined business challenge or opportunity linked to the overall business model.

      • How is success defined?

      Agree on measurable outcomes and milestones that link directly to strategic goals and decision-making processes.

      Ownership & readiness

      • Is the business leading the effort?

      Transformation must be driven by business leadership, with IT in an enabling role.

      • Are users and customers ready?

      Confirm that end users have been trained and that customers are prepared for changes affecting them. Also consider how roles and responsibilities may shift after implementation.

      Governance & risk

      • Are risks being actively tracked and re-evaluated?

      This includes operational, financial, and strategic transformation risks.

      • How is cloud and AI spend managed?

      Establish clear forecasting, budgeting, and governance mechanisms for emerging technologies. Pay attention to rising cloud usage from AI and how it affects data quality and data integrity.

      External oversight

      • Have independent quality assurance reviews been engaged?

      Third-party assessments can provide objective insights.

      • Are periodic audits in place?

      Regular reviews help identify blind spots and validate progress and support continuous improvement across the transformation journey.
       

      KPMG can help guide your transformation

      At KPMG, we support organizations at every stage of the journey. From early planning to full implementation. 

      Our experts for your transformation

      Stefan Wälti

      Partner, Head of Assurance Technology

      KPMG Switzerland

      François El Assad

      Partner, Assurance Technology

      KPMG Switzerland

      Discover more

      window

      We simplify your entire corporate governance by tapping the potential offered by advanced technologies and new working models.
      window

      Learn how AI enhances fraud detection, risk assessment, and compliance automation in audits