When change doesn’t take hold, the reason usually isn’t found in tighter schedules, additional controls, or more detailed reporting. It shows up in moments that rarely make it into status decks: when people hesitate to use a new system, revert to old habits, or quietly work around a process that doesn’t feel usable. Adoption, confidence, and sustained behavior change are what ultimately determine whether a project delivers real value, and those outcomes don’t happen automatically once a solution goes live.
This tension has fueled long-running debates about whether change management belongs inside the Project Management Office (PMO) at all. Some argue the disciplines are incompatible. Others ...
The Role of Project Management in ERP Project Implementation Success
Enterprise Resource Planning (ERP) system implementations are complex, enterprise-wide initiatives that impact processes, data, and, most importantly, how people work. Delivering an ERP system on time and on budget isn’t the most significant challenge; ensuring people adopt it to drive business value is. Successful ERP implementations require project management to guide technical delivery and change management to prepare the organization for new ways of working. In this guide, we explore the importance of project management in ERP implementations and how to integrate it with change management for the best results. × Your ERP Will Go Live. Will It Deliver Value? The Importance of Project Management in ERP Project management is a necessary component in the success of ERP initiatives. Effective project management aligns stakeholders, identifies dependencies, controls scope, and keeps timelines and budgets on track while navigating the inherent complexities in ERP system implementations. ERP software also plays a powerful role in improving how organizations manage projects post-implementation. By centralizing data, standardizing processes, and improving visibility into resources, costs, and performance, ERPs enable better decision-making, strengthening project management capabilities long after go-live. Project Management Methodologies & Approaches in ERP ERP implementation projects require a delivery approach that aligns with the organization’s complexity, risk tolerance and change readiness. The chosen project management methodology influences how teams plan, make decisions, and address issues. ERP projects typically rely on one of the following approaches, or a combination of them: Traditional Waterfall approach The Waterfall approach follows a linear, sequential process in which teams must complete each phase before moving to the next. It emphasizes detailed upfront planning, documentation, and milestone management. This approach works best when requirements are well understood, regulatory needs are high, and the organization prioritizes predictability and formal governance structures. The Waterfall approach is particularly effective in large enterprises (10,000+ employees) due to its structured nature. Agile approach Agile emphasizes flexibility, with iterative cycles that enable regular reassessment and adaptation. In the context of an ERP implementation, agile is most beneficial in environments where requirements are likely to evolve, and rapid adaptation is necessary for the project to succeed. Agile approaches are most effective in smaller organizations or projects where fast iterations and collaboration are feasible. Hybrid approach A hybrid project management approach blends Waterfall with the flexibility of agile, balancing the needs of comprehensive planning with iterative adaptation. It provides an adjustable framework to meet varying project needs. Medium- to large-sized organizations often use a hybrid approach to balance control and flexibility when managing complex, enterprise-wide change, such as an ERP implementation. Roles and Responsibilities in ERP Project Management Clear roles and responsibilities are essential in ERP project management, as multiple team members are required to drive project success. Below are the key roles and responsibilities across the technical and people-related aspects of an ERP implementation: ERP Project Manager This role is responsible for day-to-day execution and ensuring the project stays aligned with agreed objectives. The ERP Project Manager owns the overall timeline, budget, risk management, and coordination across workstreams. Executive Sponsor Prosci research demonstrates that sponsors are so critical to change efforts that they can make or break a project or initiative. The sponsor provides active and visible participation throughout the project, builds a sponsorship coalition, and communicates the change to impacted groups. Functional Leads This group represents the needs and priorities of their respective business units. They define requirements, validate process changes, and ensure the ERP software supports real-world operational workflows. Technical Team This team ensures the chosen ERP solution is stable, secure, and ready to support business operations at go-live and beyond. They manage the system configuration, integrations, data migration, and technical testing. Change Management Lead The change manager or change management team is responsible for stakeholder engagement, organizational readiness, training, communication, and adoption. They focus on the people side of change, ensuring people are prepared to work differently using the new ERP software. The Challenges of Implementing an ERP System Research from Prosci’s 2025 Unlocking ERP Implementations revealed that human factors matter 6x more than technical factors in improving ERP benefits. These findings highlight a disconnect between conventional wisdom and reality: people-related challenges outweigh process-related and technical ones. Below are some of the common challenges faced during ERP implementations: Poor stakeholder alignment – Misalignment among stakeholder groups leads to conflicting priorities and delayed decision-making. In Prosci’s 2025 Unlocking ERP Implementations research, respondents emphasized the importance of engaging stakeholders early to improve ERP implementation outcomes, second only to improving training, underscoring the criticality of stakeholder engagement and alignment for implementation success. Inadequate change management – When the people side of change is underfunded, delayed, or missing altogether, ERP implementation projects suffer. Change management is one of five human factors that participants in Prosci’s research identified as drivers of value realization and success. Resistance from end-users – Resistance is a natural human reaction to change. Prosci research shows that preventing resistance to change is more effective than addressing it reactively. Following a change management approach supports the prevention and management of resistance. Scope creep – Uncontrolled changes to requirements can derail timelines and budgets. Without strong governance, small additions compound into significant delivery risk. Data migration issues – Poor data quality, unclear ownership, and late validation contribute to disruptions during testing and go-live, causing timeline delays. Underestimating testing effort – ERP testing requires significant time, coordination, and business involvement. Inadequate testing increases the risk of defects, process breakdowns, and operational disruptions post–go-live. Lack of reporting and visibility – Limited insight into project status, risks, and adoption metrics makes it difficult to intervene early and get implementations back on track. Integrating Change Management with Project Management in ERP Integrating change management with project management in ERP implementations is crucial for achieving successful outcomes. While project management focuses on delivering the system, change management ensures the organization is ready to adopt and sustain new ways of working. Benefits of early integration Project management and change management are complementary disciplines with a common objective: to meet or exceed project objectives and realize organizational benefits. Prosci's research demonstrates that organizations integrating these disciplines report higher success rates in meeting or exceeding project objectives. A successful change is characterized by a solution that is effectively designed, developed and delivered (project management) and that is embraced, adopted and used by impacted employees (change management). Prosci’s Unified Value Proposition illustrates how project management and change management work together to create successful change. Unified Value Proposition Need for stakeholder engagement ERP implementations impact many stakeholders across the organization, making structured stakeholder engagement planning essential. All stakeholders, from executives to employees, can influence whether a change initiative thrives or falters. Change management helps teams identify impacted groups and assess how the change impacts them. When stakeholder engagement is coordinated with project milestones, teams are better able to coach those in core change management roles to fulfill their responsibilities and help prepare, equip, and support people during change. Clear communication Effective communication bridges the gap between ERP implementation technical milestones and organizational understanding. Project updates often focus solely on timelines and deliverables. Change management ensures that messaging explains why the organization is implementing the ERP solution and how it will affect employees' daily work. Aligning communication plans with project phases helps reduce uncertainty and keeps stakeholders informed and engaged throughout the ERP implementation. Organizational readiness Project management measures system readiness, which is critical for ensuring the solution delivers the intended technical results. But change management measures change readiness, a crucial aspect in understanding whether the organization is ready, willing and able to adopt new ways of working and implement change. Without organizational readiness, even the best-laid ERP implementation project management plans will fail, as adoption success is people-dependent. Best Practices for Project Management in ERP The following best practices help ERP project teams deliver successful implementations with changed ways of working, beyond go-live, to increase value realization: Prioritize change management and training – Integrating these into the project plan ensures users are prepared to adopt new processes and ways of working. Early and ongoing change management inclusion prevents costly rework and failed implementations. Define clear scope and success metrics – Prevent scope creep and misaligned expectations by clearly defining what work is in scope and how your organization will measure success. Use a phased or agile-hybrid approach – Choose an approach that allows teams to manage complexity while adapting to feedback. Establish strong governance and decision-making – Clear governance structures enable timely decisions and accountability across the project. Strong sponsorship and escalation paths help resolve issues before they impact delivery. Maintain realistic timelines and budgets – Realistic planning reduces burnout, rework, and the likelihood of cost overruns. Track KPIs throughout the ERP project lifecycle – Monitoring KPIs such as schedule performance, defect rates, and adoption readiness provides early visibility into risks. Leverage ERP-specific project management tools – Tools designed for ERP implementations simplify dependency management, progress tracking, and escalation pathing. Integrating Project Management and Change Management for ERP Implementation Success When project management and change management operate together, ERP systems are not just deployed; they are adopted, embedded, and leveraged to drive measurable business value. Change done right is how we create better business outcomes. FAQs How long does an ERP project take? The length of an ERP implementation varies based on organizational size, scope, and complexity. Often, ERP implementations are multi-year-long. While there are no right or wrong answers regarding implementation timing, realistic scheduling is critical. Planning conservatively is necessary for delivering working systems and changed behavior. What are the biggest ERP implementation risks? Based on Prosci’s 2025 Unlocking ERP Implementations research, the top ERP implementation risks are human factors, including inadequate or incomplete training, stakeholder misalignment, lack of structured change management, unclear communication, and insufficient cross-functional collaboration. What are some common metrics to measure the success of the ERP integration? System uptime, data accuracy, process efficiency, user adoption rates, and training completion are some common metrics for measuring the success of ERP integration. It’s essential to evaluate system performance and organizational adoption, in line with business goals, to achieve the best results. How can organizations ensure effective communication during ERP projects? Effective communication requires planning, consistency, and role-specific messaging from preferred senders. Regular updates aligned with project milestones, the reasons for change, and opportunities to provide feedback keep stakeholders informed and engaged. Why is integrating change management with project management important in ERP implementations? Integrating change management ensures that adoption, readiness, and behavioral changes are addressed alongside technical delivery. This alignment helps the organization realize the intended business benefits of the ERP system. How does change management contribute to the success of an ERP project? Change management prepares people for new processes, tools, and ways of working. By focusing on stakeholder engagement, training, and communication, it ensures that users are ready, willing, and able to adopt the ERP system.
Project Management in Healthcare
From implementing new electronic health records to expanding care models, redesigning workflows, or responding to regulatory shifts, healthcare organizations are no strangers to complex projects. Delivering a project on time and on budget is important, but getting clinicians, staff, and leaders to actually adopt new ways of working without compromising patient care is paramount. This is where many healthcare initiatives falter. Projects are launched, solutions go live, and yet outcomes fall short. Not because the technology failed or the plan was flawed, but because the people side of change wasn’t addressed with the same rigor as the project plan itself. In an environment defined by high stakes, adoption must be intentionally led. When organizations align project discipline with a clear focus on people, behavior, and sustainment, they move beyond implementation toward measurable, lasting outcomes for staff, patients, and the whole system. What is Project Management in Healthcare? Project management in healthcare is the discipline of planning, coordinating, and delivering initiatives that improve how care is delivered, supported, and sustained. It provides structure by defining scope, timelines, resources, risks, and accountability in environments where complexity is the norm and margin for error is slim. Unlike many other industries, healthcare projects operate in high-stakes conditions. Patient safety, regulatory compliance, clinician workload, and operational continuity must all be considered alongside traditional project constraints like budget and schedule. How Project Management is Used in Healthcare Healthcare project management spans a wide range of initiatives, including: Electronic Health Record (EHR) implementations: Coordinating system selection, data migration, and training. Hospital construction or expansion: Managing timelines, vendors, compliance requirements, and operational transitions. Clinical workflow redesign: Improving how care teams work together by rethinking processes, roles, and handoffs to enhance patient outcomes and reduce inefficiencies. Clinical trials management: Aligning protocols, timelines, regulatory approvals, and cross-functional teams to ensure accuracy, compliance, and patient safety. Telehealth rollouts: Launching virtual care models that integrate technology, clinical practice, reimbursement considerations, and patient experience. Quality improvement initiatives: Driving measurable improvements in safety, outcomes, and efficiency through structured, data-informed change efforts. Key Stakeholders Involved in a Healthcare Project The success of healthcare projects depends on bringing together an entire ecosystem of stakeholders around shared objectives, clear roles, and coordinated execution. These team members include: Clinicians and care teams, whose workflows and responsibilities are directly affected Healthcare leaders accountable for outcomes IT and digital teams, responsible for integrating systems and data Regulatory and compliance bodies, ensuring adherence to legal and safety standards Operations and administrative teams, supporting staffing, and resources Patients and communities, who ultimately experience the impact of change The Importance of Project Management in Healthcare In healthcare, project management creates the conditions for better care, smarter use of resources, and sustained improvement across the system. It does this by: Improving Patient Outcomes, Safety, and Compliance Every healthcare project affects patient care in some way. Strong project management reduces variability, prevents breakdowns in coordination, and embeds regulatory and safety requirements into the work itself. By proactively managing risk, documentation, and compliance, healthcare organizations can implement change thoughtfully while protecting patient safety and meeting regulatory obligations. Optimizing Resources While Supporting Staff Healthcare organizations operate under constant financial and capacity pressure. Project management provides visibility into scope, timelines, and resource demands, enabling leaders to make informed decisions and avoid costly rework. Clear priorities and predictable execution also reduce unnecessary strain on clinicians and staff, helping protect morale while allowing care teams to focus on delivering quality care. Enabling Innovation and Meeting Patient Expectations Project management plays a critical role in translating innovation into practice. Whether advancing medical research, launching digital health solutions, or improving access to care, it provides the discipline needed to deliver change reliably. At the same time, it helps organizations respond to evolving patient expectations for accessible, transparent, and seamless care experiences. Challenges in Healthcare Project Management Healthcare projects are among the most complex initiatives any organization can undertake. Well-funded, well-intentioned projects can still struggle when competing priorities, regulatory demands, and human realities collide. Common challenges in this industry include: Scope Creep and Project Delays As needs evolve and stakeholders weigh in, scope can expand without corresponding adjustments to timelines or resources. The result is missed deadlines, fragmented execution, and initiatives that never quite reach completion. Regulatory and Compliance Constraints Few industries operate under stricter regulatory scrutiny than healthcare. Projects must account for privacy laws, clinical standards, safety requirements, and reporting obligations (often across multiple governing bodies). High-Stakes Environment Unlike other sectors, healthcare projects unfold alongside ongoing patient care. System changes, workflow redesigns, or technology rollouts can introduce treatment delays, errors, or disruptions that directly impact patient safety if not carefully planned and executed. Complex Stakeholder Ecosystems Clinicians, administrators, IT teams, compliance officers, vendors, and patients all bring different priorities and concerns. Misalignment among these groups can stall decision-making, create conflict, and weaken commitment. Budget Overruns and Resource Gaps When projects experience delays or shifting scope, financial strain quickly follows. Budget overruns and resource gaps can force difficult trade-offs, limit access to critical expertise, and jeopardize the long-term viability of initiatives meant to improve care. Lack of Leadership Buy-In Without active sponsorship, teams struggle to prioritize work, resolve barriers, or maintain urgency. Leadership buy-in is especially critical in healthcare, where change competes with day-to-day clinical demands and deeply ingrained ways of working. Resistance to Change and Adoption Gaps Resistance can slow progress, undermine outcomes, and create workarounds that introduce new risks. When adoption isn’t planned and reinforced, organizations may implement solutions that never deliver their intended value. Key Methodologies for Healthcare Project Management There is no single project management methodology that works for every healthcare initiative. The right approach depends on the nature of the project, regulatory requirements, risk tolerance, and the level of uncertainty involved. In fact, healthcare organizations often blend methodologies to balance structure, flexibility, and safety. Below are the most commonly used approaches in healthcare project management: Waterfall in Healthcare Waterfall is a linear approach that emphasizes upfront planning, detailed documentation, and clearly defined phases. It is often used in healthcare projects with strict regulatory requirements or fixed scopes, such as facility construction or medical device implementation. Agile Agile focuses on iteration, collaboration, and responsiveness to change. In healthcare, Agile is frequently applied to digital initiatives, such as software development, analytics platforms, or patient-facing tools. Scrum Scrum is a structured Agile framework that organizes work into short, time-bound sprints. Healthcare IT teams often use Scrum to deliver incremental improvements while maintaining transparency and accountability. Lean Lean methodologies focus on eliminating waste and improving efficiency by reducing unnecessary steps and variability. In healthcare settings, Lean is commonly applied to clinical workflows, patient flow, and operational processes. Six Sigma Six Sigma emphasizes data-driven improvement and defect reduction. Healthcare organizations use Six Sigma to enhance quality, reduce errors, and improve patient safety. This approach is particularly valuable in areas such as medication management, diagnostics, and process standardization. Hybrid Approaches Many healthcare projects require both predictability and adaptability. Hybrid approaches combine elements of Waterfall, Agile, Lean, or Six Sigma to meet these needs. For example, an organization may use Waterfall for planning and compliance approvals, then Agile or Lean methods during execution and optimization. The Importance of Project Management Tools Across methodologies, healthcare project teams rely on tools to support planning, tracking, and decision-making. Common capabilities include project and portfolio management platforms, collaboration tools, and data analytics to monitor performance and outcomes. These tools help with visibility and coordination, but they don’t guarantee success. Systems provide structure; results depend on how well people understand, adopt, and sustain new ways of working. Integrating Change Management and Project Management in Healthcare In healthcare, successful projects require everyone, including clinicians, staff, and leaders, to change how they work, often while operating under intense pressure and with no margin for error. That reality makes integrating change management into project management essential. Why Building Change Management Capability Matters Healthcare organizations are navigating constant, overlapping change, yet change is often managed inconsistently and treated as an add-on rather than a core organizational capability. Prosci research shows this gap has real consequences. Projects with effective change management are 7X more likely to succeed by protecting patient safety, reducing disruption, and sustaining improvements. Integrating change management into project management expands the focus beyond delivery to include adoption and performance. The Prosci ADKAR Model provides a practical way to make this integration real by aligning project milestones with the human journey through change. When adoption outcomes are planned and managed as part of the project itself, healthcare organizations are better positioned to achieve lasting impact. The good news is that healthcare project managers don’t need to become change management specialists, but they do need to intentionally account for the people side of change. A few focused actions can significantly improve outcomes: Start with clear objectives tied to patient outcomes. Define success in terms of how care will improve, not just what will be delivered. Engage clinicians early and often. Interviews, feedback sessions, and involvement in design decisions surface concerns before they turn into resistance. Build flexibility into project plans. Integrating change management allows teams to adapt communications, training, and support as conditions shift. Embed change activities into the project timeline. Communication planning, sponsor engagement, training, and reinforcement should be treated as essential to the project. Invest in training and change capability. Providing basic change management training for project teams significantly increases adoption and sustainment. Measure success beyond timelines and budgets. On-time and on-budget delivery is not the full measure of success. Tracking adoption, proficiency, and sustained use ensures projects deliver real value for clinicians, staff, and patients. Best Practices for Project Management in Healthcare Effective project management in healthcare demands disciplined execution paired with a deliberate focus on people, leadership, and outcomes. The following best practices consistently deliver lasting value: Use a Structured Change Approach Healthcare change is too complex and high-stakes to manage informally. Applying a structured, research-based change approach helps teams anticipate resistance, guide adoption, and sustain new ways of working. Establish Clear Governance and Early Leadership Alignment Clear governance structures, defined decision rights, and active sponsorship help remove barriers, resolve conflicts, and reinforce priorities, especially when projects compete with daily clinical demands. Risk Management and Contingency Planning Risk in healthcare extends beyond timelines and budgets to patient safety, compliance, and operational continuity. Proactive risk identification, mitigation planning, and contingency scenarios help teams respond quickly to emerging issues without disrupting care or overwhelming staff. Rely on Data-Driven Decision-Making Using performance metrics, adoption indicators, and feedback loops enables project teams to identify issues early, adjust course, and make informed decisions that improve both execution and outcomes. Integrate Change Management Early Change management is most effective when introduced at the start rather than after solutions are built. Early integration allows teams to align project milestones with communication, training, and reinforcement activities that reduce disruption and accelerate adoption. Clear Communication and Team Collaboration Healthcare projects depend on coordination across clinical, operational, technical, and regulatory teams. Consistent, transparent communication keeps stakeholders aligned, builds trust, and ensures that everyone understands not just what is changing, but why it matters. Dedicated Change Management Resources and Budget Sustainable change requires investment. Allocating dedicated change management resources and budget signals organizational commitment and ensures that training, communications, leadership engagement, and reinforcement are adequately supported throughout the project lifecycle. Turning Change Into Better Care Even small changes can create a meaningful impact. Simple adjustments, like redesigning workflows, reorganizing supply rooms, or standardizing processes, often deliver outsized benefits when adoption is intentionally managed. The difference is not the size of the change, but the approach. When people are prepared, supported, and reinforced, new ways of working take hold and become part of everyday care. Frequently Asked Questions What is the role of a project manager in healthcare? A healthcare project manager is responsible for planning, coordinating, and delivering initiatives that improve how care is delivered and supported. This includes managing scope, timelines, resources, risks, and stakeholder alignment across clinical, operational, technical, and regulatory teams. In healthcare, the role also requires close collaboration with clinicians and leaders to ensure projects are implemented safely and with minimal disruption to patient care. Why is change management important in healthcare projects? Change management is critical because healthcare projects require people to adopt new ways of working in high-pressure environments with little room for error. Without effective change management, projects may be delivered on time but fail to achieve their intended outcomes if few people embrace the change. Integrating change management helps ensure new systems, processes, and workflows are understood and used continuously. How can healthcare organizations improve their change management practices? Healthcare organizations can strengthen their change management capability by engaging leaders as active sponsors, involving clinicians early, embedding change management activities into project plans, investing in training, and measuring adoption and performance. What strategies can be employed to manage resistance to change in healthcare? Managing resistance starts with understanding it. Early stakeholder engagement, transparent communication, and clear explanations of why a change is happening help reduce uncertainty. Training employees, making sure leadership is visibly supporting the change, and reinforcing its importance to help staff build confidence and proficiency in the new way of working. When resistance is addressed proactively and empathetically, healthcare teams are more likely to embrace change and integrate it into daily practice.
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8 Ways AI-Driven Change is Different (And What Change Leaders Must Know)
Organizations investing millions in AI technology often fail to realize expected returns, not because of technical failures, but because they're applying traditional change management approaches to a fundamentally different type of transformation. What Prosci’s AI Research Reveals About AI Change Recent Prosci research studying 1,107 professionals across organizational levels reveals the scope of AI adoption challenges which organizations are facing. The data is striking: Prevalence of Human vs. Technical Challenges of AI Adoption Human vs. Technical Challenges – User proficiency emerged as the primary challenge, accounting for 38% of all reported AI implementation difficulties. This breaks down into learning curve challenges (22%), prompt engineering struggles (11%), and inadequate training (6%). Technical implementation issues account for only 16%. This represents a fundamental shift from traditional technology rollouts where technical challenges often dominate. The Trust Gap is Measurable – The research reveals significant trust disparities across organizational levels. Frontline workers report minimal trust in AI (+0.33 on a -2 to +2 scale), while executives demonstrate significantly higher trust levels (+1.09). Leadership Support Drives Success – Organizations with "very smooth" AI implementations show dramatically different leadership characteristics. They demonstrate strong leadership support (+1.65) compared to struggling organizations (-1.50). These numbers underscore what workshop participants have been telling us—AI change is fundamentally different, and traditional approaches aren't sufficient. 8 Key Differences in AI-Driven Change Over the past six months, we've conducted AI adoption workshops with hundreds of change practitioners across industries in North America. Through polling data and feedback from attendees who are experts in their organizations, eight distinct patterns have emerged that separate AI transformation from traditional change initiatives. 1. The "never-ending phase 2" challenge Traditional change management operates on defined phases with clear endpoints. AI adoption breaks this model. As one workshop participant put it, "AI changes so fast—what are we chasing?" Another described it as a "never-ending Phase 2." The technology evolves rapidly, new capabilities emerge constantly, and organizations must adapt their implementations in real-time. Your change management plans need flexibility and agility, not one-time delivery. Reinforcement becomes an active process of continuous readiness rather than a finite goal. Successful practitioners are building adaptive, modular change plans and coaching sponsors to maintain visibility over longer, less predictable timelines. Aligning The Prosci ADKAR Model to Iterative Changes 2. Security concerns reshape risk management AI introduces elevated risks that traditional change management rarely encounters. Workshop participants noted a "heightened level of security concern" where "individual responsibility and risk mitigation become more important." AI systems can inadvertently expose sensitive data, generate inaccurate information, or create new vulnerabilities. The consequences in sensitive contexts—healthcare, finance, legal—can be severe. This demands that risk management be integrated directly into every change management activity. Awareness campaigns must prioritize responsible behavior alongside tool adoption. Training programs need security-focused messaging woven throughout, not added as an afterthought. 3. Ethics and governance take center stage Unlike traditional technology implementations, AI decisions can perpetuate bias, generate misinformation, or impact people's lives in ways that aren't immediately visible. Workshop participants consistently raised "ethical and responsible use" and "ethical and bias concerns" as central challenges. Building awareness must explicitly include ethical considerations, not just operational changes. Sponsorship coalitions need to visibly model ethical behavior to set the organizational tone. Forward-thinking practitioners are creating visible feedback channels to identify and course-correct ethical risks early, integrating policy updates directly into knowledge-building activities. 4. The shift to individualized learning Traditional training approaches fall short with AI adoption. The technology demands personalized, self-directed learning to build sufficient literacy. As one expert noted, organizations need to "build competencies to ensure resilience and flexibility to engage in continuous learning." AI tools apply differently across roles, departments, and individuals. A marketing specialist might use AI for content creation, while a financial analyst applies it to data analysis. Generic training programs can't address this variety effectively. Successful practitioners are offering multi-path learning experiences: AI academies, peer-to-peer learning networks, and resource hubs that people can access based on their specific needs. 5. Scale and complexity demand enterprise thinking AI implementations often affect multiple departments simultaneously, without clear boundaries. Workshop participants described "the scale of it all—change, speed, etc." with "AI potentially having no limits." Traditional project-based change management approaches struggle with this scope. AI adoption requires enterprise-wide perspective, broader stakeholder impact assessments, and sponsorship coalitions of senior leaders. The complexity isn't just technical—it's organizational. AI implementations trigger cascading changes across business processes, decision-making frameworks, and organizational structures. 6. Navigating ambiguity in future states Traditional change management excels at moving from clearly defined current states to well-articulated future states. AI adoption challenges this model. Participants noted "no clear 'tomorrow' state" and difficulty "defining the future state clearly." AI capabilities evolve rapidly, and organizations can't predict exactly how they'll use the technology six months from now. The solution isn't to wait for clarity—it's to equip people to navigate ambiguity confidently. Practitioners are framing communication around progress markers rather than final destinations, reinforcing organizational purpose to anchor people even as tactics evolve. 7. New forms of resistance require new responses AI evokes distinct resistance that goes beyond typical procedural concerns. Workshop participants described "different and new types of resistance, more fear-based, around risks, unknown factors, loss of relevancy, and societal impacts." The fears are deeper and more personal. People aren't just worried about learning new processes—they're concerned about their fundamental relevance in an AI-enhanced world. Standard resistance management techniques aren't sufficient. Practitioners need to address emotional drivers, not just procedural hurdles. Building desire becomes harder because the perceived threat feels existential. 8. Reshaping roles and work dynamics AI significantly impacts roles, responsibilities, and workplace dynamics. Participants noted major implications for the "future of work and roles" with "knowledge and ability varying from team to team." This isn't just about learning new tools—it's about fundamental work redesign. AI changes how people spend their time, what skills they need, and how they create value. Practitioners are building future-state role maps showing how AI complements human capabilities and reinforcing an organizational narrative of partnership with AI rather than competition. Early Warning Signs and Success Indicators Our research reveals clear patterns distinguishing successful AI transformations from struggling ones. Organizations with "very smooth" implementations demonstrate dramatically different characteristics: The Experimentation Gap – Organizations with "very smooth" implementations strongly encourage trying new tools, while those "making progress with challenges" show moderate encouragement. Organizations struggling with implementation actually discourage trying new tools. This stands out as one of the strongest predictors of AI implementation success. Leadership and Cultural Alignment – Successful organizations demonstrate strong leadership support and organizational culture that actively supports AI-driven change. Data Openness Balance – Organizations with smooth implementations show higher data openness compared to struggling organizations, demonstrating the importance of balancing security with accessibility. Warning Signs to Watch For: Executives expressing high confidence while frontline workers show resistance Security concerns being treated as separate from change management Training approaches that don't account for role-specific AI applications Discouraging experimentation rather than fostering safe exploration Adapting Your Change Management Toolkit Traditional change management tools require thoughtful adaptation for AI adoption success. Our Prosci ADKAR Model remains relevant, but awareness-building must encompass ethical considerations and continuous learning expectations rather than just operational changes. Communication strategies need to emphasize progress markers over final destinations while addressing the measurable trust gap between organizational levels. Training approaches must shift from one-size-fits-all to personalized learning journeys that build adaptability skills alongside technical competencies. Perhaps most critically, sponsorship requirements expand beyond individual project sponsors to coalitions of senior leaders who can maintain visibility and model ethical AI behavior over extended, less predictable timelines. Preparing for Continuous AI Evolution AI adoption isn't a destination—it's an ongoing journey of organizational capability building. The most successful organizations treat AI change management as a core competency, not a project deliverable. This means building internal expertise in AI-specific change patterns, developing organizational agility for continuous adaptation, and creating cultures that embrace rather than resist AI-driven evolution. AI adoption success depends more on managing the human side of change than on the sophistication of the technology. For change practitioners willing to adapt their approaches, this represents both a significant challenge and an unprecedented opportunity to demonstrate the strategic value of expert change management. Make A Strategic Investment in Adoption AI adoption is more than a technical implementation—it’s a transformation in how your people work, innovate, and deliver value. The path to success requires deliberate strategies to engage employees, align leadership, and integrate AI into workflows. By partnering with Prosci, you’ll gain a trusted guide with the research, methodologies, and expertise to manage the people side of AI adoption effectively. With Prosci, your organization will not only achieve the full promise of AI but also build the change resilience needed to navigate future transformations. Partner with Prosci to unlock the full potential of your AI initiatives—and secure lasting competitive advantage in an AI-powered future.
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Digital Transformation Made Real With Change Leadership
Everyone is racing toward digital transformation. But what separates those who talk about it from those who achieve it? The answer isn’t technology. It’s leadership. The promise is compelling: smarter operations, faster decisions, deeper connections. But transformation doesn’t succeed on tools alone. It demands bold vision, aligned leadership and cultures ready for change. Without these, even the best-funded initiatives stall. This article breaks down the trends shaping digital transformation—and more importantly, shows how to lead through them with clarity, coordination and a people-first mindset. What Is Digital Transformation? Digital transformation integrates technology across business functions, reshaping operations and customer experiences. The process involves reshaping business processes, company culture and customer experiences. But transformation only happens when people adopt new ways of working. The success of a new CRM or AI platform depends not on deployment, but on whether teams choose to engage, adapt and own the change. Digital tools create potential. People turn that potential into performance. Why Is Digital Transformation Important? Because the pace of change won’t slow down. Markets evolve. Expectations rise. And technology keeps pushing forward. If you delay, you risk falling behind. Digital transformation helps resilient, adaptive businesses stay ahead. It enables efficiency, allows for deeper customer relationships, and provides leaders with the clarity to make faster, smarter decisions. Here’s what the results may look like in practice: Operational efficiency – Intelligent systems and real-time analytics streamline day-to-day processes, reducing manual effort and freeing teams to focus on higher-impact work. Customer centricity – From personalized marketing to predictive support, digital transformation helps businesses understand and serve customers more effectively. Operational agility – A flexible digital foundation allows organizations to test new ideas, launch initiatives faster, and adapt to shifting market demands without major disruption. Competitive resilience – Digital maturity builds the structural flexibility and clarity leaders need to make smarter decisions and outpace competitors. Together, these capabilities position organizations to move with confidence—ready to pivot, grow, and lead in a constantly changing landscape. But staying ahead demands a clear view of what’s next. To lead effectively, organizations must understand the forces shaping the digital future and be ready to act. What’s Ahead: Trends in Digital Transformation Digital transformation trends will see the rise of AI-driven automation, hyper-connected ecosystems and the increasing importance of sustainability and cybersecurity. AI agents and spatial computing will also gain prominence. Let’s take a look at these trends in more detail: The rise of AI-powered technology AI is becoming the engine behind smarter, faster and more adaptive businesses. Organizations are embedding AI into core operations, transforming everything from customer service to supply chain management. The AI market surpassed $184 billion in 2024—a sharp increase of nearly $50 billion from the previous year. And the momentum isn’t slowing down. Projections show it could skyrocket to beyond $826 billion by 2030. This shift signals the transition from testing AI to actually putting it to work, and seeing real, measurable results. Here are some of the key AI technologies powering digital transformation: Generative AI – Gen AI improves creative and customer-facing workflows by generating text, images, code and more in real time. It helps personalize marketing campaigns, draft content, assist in product design, and even simulate business scenarios. Research shows that 40% of companies have already adopted Gen AI. AI-driven automation – Streamlines repetitive, manual tasks such as data entry, scheduling and report generation. Automating these time-consuming processes allows organizations to reduce errors, cut costs and free up time for employees to focus on higher-value work that requires human insight, like managing change. AI agents – Similar to chatbots but with more advanced capabilities, AI agents use natural language processing, machine learning and decision-making capabilities to perform tasks independently. They can manage calendars, handle complex customer service requests, monitor systems for anomalies, and take proactive steps. Adopting AI is one of the most complex and high-potential shifts organizations can face. Realizing its full benefits requires a deliberate focus on people, processes and change readiness. Cloud-native is the new normal Legacy systems are quickly becoming a thing of the past, with agile, scalable cloud solutions taking center stage. The shift is undeniable—nearly 92% of digital leaders say that their companies adopted cloud technology on a small or large scale. Here are some of the key approaches driving this transformation: Cloud-native applications – These are tools built specifically for the cloud environment. With cloud-native apps, organizations can scale faster, innovate more efficiently, and stay ahead of the curve. Multi-cloud strategies – These offer organizations the flexibility to combine multiple cloud services for their needs. They help businesses mitigate security risks by diversifying their cloud environment. Serverless computing – A cloud computing model where the cloud provider manages the infrastructure, such as servers and virtual machines. Developers can then focus on writing code, while the cloud provider handles all scalability and infrastructure concerns. Moving to the cloud requires a cultural shift that demands reskilling, collaboration across teams, and aligning leadership around a digital-first vision. The most successful organizations will be those that adapt quickly and foster an environment of continuous learning and innovation. Human-centric personalization Customers and employees now expect personalized, connected digital experiences that cater to their needs and behaviors. Research shows that 73% of customers expect better personalization as technology improves. This means that many organizations will focus on creating deeply relevant and intuitive interactions that anticipate what people want before they even ask. Here are the key technologies driving the future of personalization: Hyper-personalization – Takes customer engagement to the next level by delivering tailored experiences in the moment. This means offering the right content, products or services at the right time based on individual behaviors, preferences and context. Edge computing – Reduces latency by processing data closer to where it’s generated. This means faster, more responsive interactions—especially for real-time applications—enhancing user experience and reducing reliance on centralized data centers. IoT (Internet of Things) – Creates a network of connected devices that communicate and respond autonomously. With IoT, you can automate processes, track assets and deliver experiences that respond to real-world events in real time, creating a more dynamic and responsive environment. Leaders must ensure people know how to engage with and leverage these technologies. Providing the right training, fostering a culture of continuous learning, and aligning teams around a shared vision of personalization are key to achieving this. Improving security and data governance Security is increasingly becoming a strategic priority that impacts every part of the business. Protecting sensitive data and ensuring regulatory compliance are foundational to sustainable growth and building trust with customers. In fact, research shows that 76% of companies globally stated that cybersecurity was the leading priority for their IT initiatives. So, what technologies are leading the transformation? Zero trust architecture – An always-verified access model that assumes no one—inside or outside the organization—should automatically be trusted. Every user and device must continuously authenticate before accessing systems. This ensures robust protection against breaches. AI-powered threat detection – Traditional security measures often rely on static rules and human intervention, which can leave gaps in defense. In contrast, real-time, adaptive protection, powered by AI, continuously learns and evolves to detect and respond to threats before they escalate. To ensure these technologies are fully adopted, leaders must support employees in understanding and consistently following secure practices and integrate security into the company culture. The Prosci Methodology can help organizations manage this transformation. With its proven change management approach, you can drive culture-embedded, compliant transformation and make security and data governance integral to daily operations. Real-World Cases of Successful Digital Transformation Projects Companies that embrace new technologies are reaping the benefits, from improved operational efficiency to enhanced customer experiences. Here are three real-world examples of companies that have successfully done so: Proximus Proximus, Belgium’s largest telecommunications provider, spearheaded its digital transformation by piloting a focused, data-driven marketing initiative. Partnering with Digipolitans and Google, the company built a 12-week agile campaign around promoting Netflix subscriptions. By leveraging behavioral data and Google Marketing Platform tools, Proximus streamlined campaign delivery and personalized digital touchpoints. The results were striking: a sixfold increase in sales leads, a 14% conversion rate (up from 4%), and a 72% influx of new site visitors—all achieved with a smaller budget. The initiative also catalyzed long-term structural change across the organization. Siemens Siemens is a global technology company that specializes in industrial automation, digitalization and smart infrastructure solutions across sectors like manufacturing, energy and healthcare. The company is leading the charge in industrial technological innovation, unveiling breakthroughs in AI and digital twin technology at CES 2025. By digitizing its manufacturing operations with IoT, AI and digital twins, Siemens has transformed how it simulates, monitors and optimizes processes. The result: smarter solutions for clients, reduced downtime and greater supply chain transparency across its global footprint. Starbucks Starbucks is crafting the future of retail with AI. Through its “Deep Brew” initiative, Starbucks harnessed artificial intelligence to optimize inventory, streamline staffing and deliver hyper-personalized marketing. By embedding tech into every touchpoint, the company created smarter, more seamless customer and employee experiences, driving higher efficiency, more mobile orders and stronger loyalty program engagement. (Image Source) These real-world examples illustrate what’s possible when digital transformation is approached with clarity, alignment and a focus on people. Yet success stories are only part of the equation. Transformation at scale is rarely straightforward. Even the most prepared organizations encounter difficulties and uncertainty. Common Challenges of Digital Transformation Technology is only half the equation. Without the right leadership and support, even the most advanced solutions fall short. Misalignment, resistance and cultural inertia are the real barriers. Let’s examine the most common barriers that can stall digital transformation, and why overcoming them requires more than technology alone. Measuring return on investment (ROI) Unlike traditional investments, the ROI of digital transformation can be harder to quantify, especially in the early stages. Benefits like improved customer experience or greater agility are intangible or long-term, so how do you prove their financial impact? Organizations must define clear success metrics from the start, ones that go beyond immediate revenue and cost savings. This means tracking qualitative outcomes (like employee engagement or customer satisfaction) and quantitative results (such as efficiency gains or time-to-market improvements). ROI must also account for adoption metrics. Without widespread use, even the most advanced solutions won’t deliver value. Leaders need to monitor how well new technologies and processes are embraced across teams, not just whether they’re deployed. Prosci helps organizations put this into action with structured outcome tracking. Our change experts help organizations measure the real impact of change by linking adoption and usage to business results. Prosci Performance Levels Effective communication within organizations Transformation efforts often fail when vision and strategy aren’t well communicated across departments. Teams may work in silos, misunderstand objectives, or lack visibility into how their work connects to broader initiatives. To avoid these pitfalls, communication must be ongoing, cross-functional and directly connected to the "why" behind the change. It’s not enough to share updates. You need to create a communications plan so that every person in your organization understands the broader purpose of the change, their role in achieving it, and how each department’s efforts fit into the bigger picture. A well-designed communications plan ensures messaging is consistent, timely and aligned with business goals. The plan should outline: Key messages Target audiences Preferred communication channels Frequency of updates When communicating updates around change, it’s also important to consider who’s delivering them. Prosci research shows that people prefer to receive certain change messages from specific roles in the company: Preferred Senders of Messages During Change To ensure people are receptive to communication, it’s important to consider their preferences. Aligning communication with trusted voices helps leaders foster an organizational culture of transparency, strengthen credibility and inspire confidence across the organization. Cultural shift and adaptation Digital transformation requires a fundamental shift in mindset across the organization. One of the biggest challenges is bridging the cultural gap between the old way of working and the new approach required for transformation. Leaders must shift from directive management to transformational leadership. Simply implementing new systems or processes is not enough. You need to consistently demonstrate the mindsets and behaviors that set the tone for others to follow. Creating safe spaces for experimentation is also important. Innovation labs, pilot programs and internal communities allow teams to explore new tools and approaches, and fail forward without the risk of major disruption. This creates an environment where change becomes a constant opportunity, rather than a threat. To overcome these challenges, digital transformations need to be built on trust, clarity and engagement—from the C-suite to the front line. That’s where change management becomes the differentiator. Why Change Management Is The Missing Link Change management isn’t a side task—it’s the work. If people aren’t supported through the change, transformation is destined to fail. Without the right support, employees may be apprehensive about new systems, underutilize tools or revert to old habits, undermining the entire initiative. Digital transformation struggles when change is done to people, not with them. A structured, people-focused approach is critical to driving successful transformation. Structured, intentional change leadership aligns people with purpose, equips them for the transition, and significantly improves adoption. Prosci helps organizations navigate transitions smoothly, creating lasting adoption and securing long-term success. It’s the bridge that connects digital technology implementation with real, sustainable cultural shifts within the organization. Supporting people with the Prosci ADKAR Model At the heart of the Prosci Methodology is the Prosci ADKAR® Model, a proven model that breaks down individual change into five key elements: Awareness, Desire, Knowledge, Ability and Reinforcement. Prosci ADKAR Model These elements represent the building blocks of successful transformation on an individual level. By understanding where people are in the digital transformation journey, leaders can pinpoint specific barriers and provide targeted support, whether that’s through communication, training or coaching. The ADKAR Model also helps people understand why the change is happening, what’s in it for them, and how they’ll be supported through the transition. And when people see the purpose and benefits clearly, they’re more likely to engage, adopt and champion the change. Aligning at scale with the 3-Phase Process The ADKAR Model drives successful change on a personal level, but the Prosci 3-Phase Process scales that impact across the organization. It provides a structured framework to lead enterprise-wide transformation. Here’s an overview of the three phases: Phase 1 – Prepare Approach – In this phase, change leaders define success, assess readiness and build a tailored strategy for change. Phase 2 – Manage Change – In this phase, the team develops and delivers the bulk of change management activities, from communication and training to resistance prevention and assessments. Phase 3 – Sustain Outcomes – In this phase, the organization measures adoption, collects feedback and takes steps to ensure the change sticks. Guiding organizations through these phases help teams lead digital transformation initiatives with clarity, consistency and a sharp focus on their people. Prosci 3-Phase Process In the context of digital transformation, aligning at an organizational level is essential. It connects the dots between digital technology rollouts and human adoption, ensuring that new tools and systems are used to their full potential. Supporting change with Prosci technology To drive meaningful change at scale, you need the right tools. Prosci’s innovative technology solutions can make all the difference: Proxima is a web application that guides users through the Prosci Methodology to help them achieve change success. With built-in templates, tools and dashboards, Proxima keeps teams aligned and focused on what matters most—achieving successful outcomes and delivering measurable value. Kaiya™, Prosci’s expert change management AI tool, supports change leaders in real time, giving you instant access to change management insights, best practices and tailored solutions. Whether you’re building a communications plan or scaling across multiple initiatives, Kaiya helps you move faster, think smarter and extend your impact across the organization. Preparing for Digital Transformation in 2026 and Beyond Digital transformation offers immense promise, but it only delivers when led with clarity, conviction and a commitment to people. The organizations that succeed won’t be those with the flashiest tools, but those who treat change as a capability. That’s where Prosci comes in. With structured, flexible, and research-based approaches like the ADKAR Model and 3-Phase Process, Prosci equips organizations to lead with purpose, align their people, and make transformation stick. Because digital change isn’t just about moving fast. It’s about moving forward, together.
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Overcome Resistance to ERP Systems Changes With ADKAR
Investing in Enterprise Resource Planning (ERP) software can unify your business information resources, improve productivity, and create other long-term benefits. However, adoption challenges and resistance often create unforeseen risks and detract from the ERP system's benefits. Here’s how the Prosci ADKAR® Model can help you succeed. ERP Systems and the Need for Change To gain efficiency and reduce long-term costs, large and small companies are transitioning to ERP systems. Businesses use the systems to manage and improve processes ranging from procurement and manufacturing to financial and human resources functions across the enterprise. All these efforts help eliminate waste, improve productivity, and increase employee satisfaction. Because an ERP system integrates data into a common database, data can flow easily between operations. As a result, the system eliminates data duplication, enhances data integrity, improves ease-of-use, and helps your teams overcome siloed operations. Integrated data and processes also give your managers and teams greater insight into decision-making from real-time information. Given your significant investment in time and resources, as well as the importance of the expected benefits from the project, it’s critical for your business to recognize and overcome resistance to ERP changes through effective change management. Resistance to ERP Systems and Other Adoption Challenges More than likely, your employees have grown accustomed to familiar legacy systems. Even with all the benefits offered through an ERP tool, the migration from familiar applications to a new system sets up a series of challenges for technical and people leaders. As impacted employees move from the comfort of the current state to the disruption of the transition state and ultimately to the future state, technical challenges often provoke people challenges that lead to resistance. As part of your planning for the ERP implementation, leaders and the project team should carefully establish the business requirements and expected benefits for the project. Without clearly established requirements and benefits, people who work with the system can create unrealistic expectations. In turn, unrealistic expectations often evolve into customization requests that increase the project scope and slow the schedule. During implementation, impacted people can struggle with completing their current work while learning a new system. Project teams need to focus on all the milestones for reaching the “go live” date while implementing technological, functional and process changes at a rapid pace. And the push to learn new skills, terms and processes elevates stress levels even further. Cascading Technical and People Challenges Each of these challenges increases project risk. The need for understanding and mitigating that risk underscores the need for building strong change management capabilities in your organization. If you don’t adequately manage those challenges, the technical and people challenges of an ERP implementation can lead to dissatisfied employees and other stakeholders, increased stress, and loss of trust. Fear and Resistance to Change During an ERP Implementation The changes caused by an ERP implementation often seem intensely personal and overwhelming to employees. Newly defined processes sometimes move tasks from one department to another or even lead to organizational restructuring. Some department workloads may increase while others decrease or shift to different areas. Each of those changes break apart comfortable working relationships. And all this occurs within a project schedule that seems to have a life and vocabulary of its own. The result is often fear and resistance. Fear of Change Certainly, the fear of change feeds resistance behaviors. With any shift to a different technology, fear of the unknown shapes how your staff responds to change. Migration to an ERP system amplifies this fear because no one sees the finished product until close to the project go-live date. Even though vendors and project leads work to assure teams that more efficient workflows and a more collaborative environment are coming—and ask for patience as the process unfolds—people who use the new system may not fully accept the assurances. Fear of the Unknown Implementing an ERP system creates the need for people to learn new skills, creating pressure to upskill and reskill within a limited time. People also need to stay productive with their current workloads while learning new skills, which stresses even the most experienced people. For mid-career employees in particular, the fear of learning new skills can increase stress, complicate decision-making, and even cause physical illness. Fear of Failure The fear of failure translates into reluctance to try new processes or practices. If people work around or otherwise avoid the root causes of their fear (i.e., the learning curve), the fear leads to other resistance behaviors. How the ADKAR Model Helps You Overcome Resistance to ERP Systems Effective change management is critical during ERP implementations because of the impact on everyday work and morale. From my vantage point, the Prosci ADKAR Model offers optimal alignment with an ERP implementation and helps individual people and similarly impacted groups move through the transition in a structured way. Because the ADKAR Model emphasizes the people side of change, people managers also become more aware of the complexity in the work people do, as well as the impact software development and testing has on it. Along with its focus on the people side of change, the ADKAR Model emphasizes project success. Change management through the ADKAR Model helps business leaders mitigate resistance, highlights the ability of employees to adopt the change, and then checks back to reinforce those abilities. The Prosci ADKAR Model Here’s how each ADKAR element applies when mitigating or overcoming resistance to ERP systems: Awareness Building Awareness helps mitigate resistance by answering the questions people have about the change and its impacts on their work. Implementing any change that cuts across organizational and cultural lines requires excellent communication from leaders, people managers and project leads. As you apply the ADKAR Model, you will also need to build Awareness of the need for implementing an ERP system and communicate information about the project itself. I have found that communication must flow vertically and horizontally with clear lanes for sharing and receiving information. Desire Building Desire addresses resistance by answering the questions people have during a change, including the business “Why” behind the change and personal “What’s in it for me?” The Desire to participate and support the change begins with business leaders delivering transparent communications about the reasons for the change and then advocating for the new vision. Successful ERP implementations depend on change practitioners gathering feedback from impacted groups, people managers quickly responding and addressing barriers, and sponsors encouraging people to participate and role modeling the right behaviors. Productive communication and active participation build alignment with the objectives of the ERP strategy. Knowledge Knowledge of how to adopt the ERP system lessens fears and doubts, and helps people prepare for their role as users in adopting the change. When considering Knowledge, change practitioners should advocate for ERP training programs that address both the technical aspects of the new system as well as any process and workflow changes people need to adopt and use. While your human resources department may need training about new recruiting and onboarding procedures, finance teams will need training that addresses accounts receivable and payable processes, invoicing, purchase requisitions, and end-of-fiscal year procedures. Along with specific training for staff in impacted departments, project leads must also consider how those and other procedures affect people and stakeholders, and the type of training that best serves their needs. Ability Giving people the opportunity to apply and demonstrate new skills acquired through training helps them prepare for the go-live date while building confidence in their Ability to implement the required skills and behaviors. Change practitioners can help your organization achieve its goals by ensuring that employees have the ability to adopt and apply the changes enabled by the ERP implementation. To build Ability, change practitioners should work with people managers to provide hands-on practice and coaching. As employees across the enterprise become proficient with the new ERP tools, they can help others learn new skills. Reinforcement Resistance occurs at all stages of change, and it’s common for people to develop workarounds or revert to old ways of working. Reinforcement enables you to help people stay the course through additional support and resistance management tactics. When reinforcing the ERP system change with the ADKAR Model, change practitioners should work with the project team to gather feedback from impacted groups about how they use ERP tools. Using insights from surveys and face-to-face meetings, the project team can make changes that help people do their work most effectively. When measuring performance, change practitioners often use scorecards that show progress towards implementing changes and realizing benefits. Preparing to Overcome Resistance to ERP Changes When implementing an ERP system, change practitioners need to start managing resistance at the project’s initiation and all throughout its lifecycle. The process of managing resistance begins with assessing the organizational readiness of your business for the change, usually in partnership with the project manager and vendor representatives. The process continues with identifying primary and secondary stakeholders, assessing impacts and risks, and engaging stakeholders before the ERP implementation. I ask that change practitioners also begin to address the ADKAR barrier points for staff impacted by the change before the implementation begins. When assessing the possible resistance to change, I encourage change practitioners to apply the Prosci 10 aspects of change impact. It’s a helpful tool for defining the change for individuals, addressing individual and group impacts, and as the basis for building adoption metrics. In addition, the aspects establish a framework for becoming more responsive to employee needs and improving engagement. Prosci 10 Aspects of Change Impact Reframing and Overcoming Resistance to ERP Changes Effectively understanding and managing resistance requires you to look at it through a different lens that removes negativity and blame. Reframing resistance in this way will help you better identify types of resistance and their root causes, and build the right tactics to help people move through their barriers. Your organization can realize even greater benefits from an ERP implementation by applying a robust change management methodology that incorporates the ADKAR Model. This ensures alignment between the organizational requirements for the ERP system and the needs of the people who are impacted by the change while ensuring a solid return on your ERP project investment.
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