Making Change Stick: The Role of People Readiness

Many organizations are making big bets on artificial intelligence (AI) adoption based on instinct: assuming employees will adopt because they have to, excitement at the leadership level, or a few successful pilots. But assumptions aren’t enough to gauge an organization's actual AI readiness. Without a clear understanding of how prepared people, processes, and governance are, organizations risk overestimating AI readiness, underestimating constraints, and investing in AI while failing to achieve adoption. Organizational AI readiness encourages executives and leaders to look beyond tools and infrastructure alone before proceeding with AI implementations. In this guide, we explain the significance of organizational AI readiness, how to assess it, and why change management is critical for building it. × 10 Workplace Conditions That Help Individuals Excel in AI Adoption Why is organizational AI readiness important? Organizational AI readiness is critical because the success of AI initiatives depends far more on whether the organization’s people are prepared to adopt, trust, and use it than on the AI technologies themselves. Many enterprises are investing heavily in AI tools but fail to realize value due to unclear strategy, poor data quality, skill gaps, or cultural resistance. Prosci research shows that AI tools are often perceived as easy to use and valuable, yet adoption still varies by role. For example, executives report higher trust (+1.09) and ease of use (+1.19) than frontline workers. Readiness ensures the right foundations are in place, including executive behavior — one of the strongest predictors of whether AI initiatives stall or scale, according to our research. Without organizational AI readiness, companies risk stalled initiatives, low adoption, and missed opportunities for efficiency, insight, and competitive advantage. The 6 core pillars of organizational AI readiness The following six core pillars build AI readiness in organizations: 1. Data, governance and privacy AI is only as effective as the data it relies on, making strong data governance and privacy practices foundational to readiness. Teams must prioritize data accuracy, accessibility, security, and compliance with regulatory requirements, while also establishing clear policies for using data to train AI models. Without this foundation, AI outputs become unreliable, and trust in AI technologies erodes. Microsoft offers a variety of Responsible AI tools and practices to help make informed decisions about data compliance and management. 2. Leadership vision and strategy A clear, compelling vision from leadership sets the direction for how AI will create value across the organization. This includes defining priority use cases, aligning AI initiatives to business outcomes, and communicating how artificial intelligence supports the broader strategy. Microsoft’s AI Impact Assessment Guide and Responsible AI Impact Assessment Template support teams in working through AI system use cases and challenges, encouraging consideration of potential benefits and harms. Without strong leadership alignment and direction, AI efforts tend to remain fragmented, experimental, and disconnected from business impact. 3. Talent and skill development AI readiness requires a broader skills uplift across the organization. This includes data literacy, understanding how to work with AI tools, and building specialized capabilities in data science, engineering, and AI governance to support tool development and management. Without the right talent and skill development, organizations struggle to scale AI beyond isolated use cases. 4. Technology capabilities and implementation approach A robust and scalable technology ecosystem is essential to support artificial intelligence development and deployment. This includes infrastructure considerations, data platforms, integration capabilities, and access to appropriate AI tools. Readiness means ensuring that systems can support experimentation and regular usage without creating bottlenecks or technical debt. 5. Cultural behaviors and mindset Organizational culture plays a decisive role in whether AI is embraced or resisted. A culture that encourages experimentation, learning, and data-driven decision-making will accelerate adoption, while fear, skepticism, or lack of trust can stall progress. Building readiness requires addressing mindset, promoting responsible use, and creating an environment where people feel confident engaging with AI. 6. Distributed, cross-functional ownership AI readiness requires shared ownership across business, technology, risk, and operations functions. Cross-functional collaboration ensures that AI solutions are practical, compliant, and aligned with real business needs. Without distributed ownership, initiatives often become siloed, limiting both enterprise-wide adoption and long-term scalability. How to assess your organizational AI readiness Here’s how you can assess AI readiness in your organization: Step 1: Segment the organization by roles or levels Break the organization into key groups, such as executives, people managers, team leaders, and frontline employees, so you can see where readiness differs by level. Doing so helps teams avoid overlooking important gaps worth further consideration. Prosci’s AI research shows that perceptions and experiences vary by role, so segmentation is essential to get an accurate picture and identify targeted solutions for each group. Step 2: Assess readiness across key dimensions For each segment, quickly score the conditions that enable successful AI adoption, especially: Governance and control – How clearly rules, guardrails, and decision rights are understood and experienced at different levels AI implementation approach – Whether people see AI as strategic and coordinated vs. reactive and ad hoc, and whether their level is involved in shaping use cases or just receiving tools Organizational dynamics – Perception differences between levels in the organization Training and capability-building – Gaps in role-based education, coaching, and hands-on learning opportunities for building confidence to use AI effectively This gives you a readiness scorecard that covers both organizational and human factors, not just technology. Step 3: Identify your top readiness constraints Review your readiness scores and determine the two most significant bottlenecks that will limit adoption and value realization. These often include things like low proficiency, lack of transparency, or unbalanced governance. Focusing on the top constraints prevents you from trying to fix everything at once or spreading your efforts thin. Step 4: Pick targeted interventions Choose actions that directly address those constraints for the right segments. For a group demonstrating low proficiency, consider role-based training and hands-on learning opportunities. Where transparency is lacking, design a transparent communications campaign to build trust. Or, in segments with unbalanced governance, try a tiered governance approach to enable safe experimentation. Once you choose your targeted interventions, assign owners and set timing (often in a 30-60-90-day plan) for measurable, actionable improvements. The role of change management in organizational AI readiness Change management plays a direct role in organizational AI readiness. When organizations expect value from AI investments, they need to answer this question: Will people adopt and use AI effectively, consistently, and ethically to deliver outcomes? Making AI tools available is one thing, but transforming human behavior and changing the ways they work through change management is what drives actual results. Prosci’s AI adoption research reinforces this: human factors account for 56–64% of AI implementation difficulties, and the most common challenge is user proficiency (38%). Change management makes AI readiness real by turning AI strategy and governance into employee adoption, proficiency and sustained use, where the value is actually realized. Organizational AI readiness challenges Many organizations unintentionally limit the impact of AI by focusing too narrowly on tools, while overlooking the people, culture, and governance needed to sustain change. The challenges below highlight the most common patterns that stall AI adoption. Treating AI readiness as a technology checklist only – This is the most critical barrier because it becomes the root cause of many other challenges. When leaders frame readiness as a purely technical exercise — focused on tools, platforms, and infrastructure — they underinvest in change management, communication, leadership behavior, and culture. But human factors are the majority of AI implementation challenges. Rolling out AI reactively without a proactive roadmap – Without a clear business strategy, AI rollouts are reactive, often in response to urgent problems or vendor pressure. This leads to fragmented pilots, inconsistent adoption, and difficulty demonstrating value, making AI feel experimental and disjointed. One-size-fits-all training – Generic, tool-focused training often fails to address the specific ways different roles will use AI in their day-to-day work. When organizations don’t provide training by role, proficiency level, and use case, employees struggle to translate concepts into practice, leading to low confidence, uneven adoption, and missed opportunities for impact. Not addressing perception gaps between executives and frontline employees – Prosci research shows that executives typically report higher trust and ease of use with AI than frontline employees. When organizations overlook these differences, they risk widening perception gaps: leaders may assume readiness is high based on their own experience, while frontline employees feel uncertain, skeptical, or left behind. Over-indexing on control or under-governing – Overly restrictive policies and complex approval processes can shut down experimentation and slow learning, while weak governance exposes the organization to privacy, security, and ethical risks. Clear guardrails with room to test and learn are essential to building confidence and enabling responsible AI innovation. How to improve organizational AI readiness Improving organizational AI readiness doesn’t require a massive transformation all at once; it starts with a focused, 90-day effort to create clarity, build capability, and scale what works. The phases below outline a practical 30-60-90-day framework you can adapt to your organization’s context and pace. First 30 days: Create clarity and alignment In the first 30 days, the priority is to align leaders and employees on why AI matters, where it will be used, and how decisions will be made. Start by building a simple, living AI roadmap that outlines priority use cases, business outcomes, and key milestones, rather than a detailed multi-year plan you’ll never revisit. At the same time, establish governance that balances risk management with flexibility, including clear guardrails, decision rights, and escalation paths that still leave room for experimentation. Finally, lead with transparency in AI-related decisions. Explain why certain tools are being introduced, how data will be used, and what’s expected of each role, so trust is built from the start. Days 31-60: Build capability and repeatability The next 30 days focus on building the skills, tools, and repeatable practices that make AI real in daily work. Expand AI literacy across the organization with role-based training that helps people understand both the opportunities and limitations of AI, not just how to use specific tools. Begin creating an AI use case library that documents examples of where AI is working well, what outcomes it’s driving, and lessons learned, making it easier for other teams to replicate success. Make ethics a visible priority by integrating responsible AI principles into training, decision criteria, and project reviews. Most importantly, ensure AI is usable in day-to-day workflows by embedding it into existing tools and processes, reducing friction so employees don’t have to access separate systems. Days 61-90: Scale what works responsibly In the final 30 days, the focus shifts to scaling successful patterns while reinforcing trust and responsibility. Institutionalize transparency and two-way involvement through forums, feedback loops, and communication channels that allow employees to see how AI decisions are made and to contribute their experiences and concerns. Continue to make ethics a priority by formalizing review mechanisms, monitoring for unintended consequences, and adjusting guidelines as new use cases emerge. Evolve the organization's governance to differentiate between low and high-risk use cases. This evolution enables the organization to scale AI confidently while staying aligned with its values, risk tolerance, and regulatory requirements. FAQs How do you measure AI readiness? AI readiness is measured by assessing both the technical and human conditions required for successful adoption. That includes data quality and governance, leadership vision, skills and training, cultural attitudes toward AI, and the clarity of roles, responsibilities, and guardrails. A structured assessment segments by role or level and scores each group across these dimensions to reveal where the organization is ready and where targeted interventions are needed. What is a key challenge in organizational AI readiness? A key challenge is treating AI readiness as a technology checklist instead of an organizational change. When leaders focus primarily on tools and infrastructure, they underinvest in human factors such as communication, role-based training, and executive behavior. As Prosci research shows, these human elements account for the majority of challenges in AI projects, making their neglect a major barrier to adoption and impact. What is an organizational AI readiness assessment? An organizational AI readiness assessment is a structured way to evaluate your organization's preparedness to adopt, scale, and govern AI responsibly. It typically segments the organization by role or level, then scores each segment across dimensions such as governance and control, AI project approach, organizational dynamics, and training and capability-building. The output is a readiness scorecard that highlights strengths, gaps, and the most critical constraints to address. Why is change management in organizational AI readiness important? Change management is essential because AI value only materializes when people actually use AI tools effectively, consistently, and ethically. Making technology available doesn’t guarantee behavior change. Employees need clarity, support, and reinforcement to integrate AI into how they work. Prosci’s research shows that human factors account for 56–64% of AI implementation challenges, with user proficiency as the most common issue (38%), underscoring the critical role of change management in AI readiness. How should leaders communicate about AI to improve readiness? Leaders should communicate about AI early, often, and transparently, focusing on the why behind the change and what it means for different roles. That includes explaining how AI supports the organization’s strategy, what guardrails and ethics standards are in place, and how different roles are expected to use AI. Leaders should invite questions, listen to concerns, and close the loop by showing how feedback is shaping AI decisions and governance. Building Organizational AI Readiness for Better Change Adoption When organizations combine thoughtful governance, strong leadership, and intentional investments in people, AI becomes an integrated, trusted capability that advances performance, resilience and competitive advantage. That’s how organizations make AI transformations feel both possible and worthwhile.

Learning is rarely a one-time endeavor. While you can enroll employees in a program to develop new skills, the reality is the world doesn’t stand still. Technological advancements and changing market conditions mean you must prioritize ongoing professional development to stay viable. However, implementing new training programs is challenging. Some employees undoubtedly prefer to keep things the way they are. Others may be willing to change but lack the proper training to develop their skills. Establishing a learning and development (L&D) function and combining it with effective change management can help navigate these challenges. In this article, we’ll define L&D and explain how investing in employee training can improve change readiness. We’ll also look at how you can drive change success with a Prosci License. What Is Learning and Development (L&D)? L&D is an organizational function that creates programs to help groups of employees develop specific skills. It improves individual job performance, attracts and retains talent, and helps companies adapt to change. HR is typically responsible for rolling out these programs to equip individuals with the skills and knowledge to excel in their current roles. L&D is more than just checking off boxes; it helps create and foster a learning culture, unlocking your employees’ potential. It can also keep your company from stagnating or becoming complacent. Organizations that invest in learning & development report 11% greater profitability and experience improved employee retention. By understanding the fundamentals of L&D, you can see how it forms the foundation for equipping employees to handle change effectively. But to fully leverage its potential, it’s important to distinguish between learning and development. Difference between learning and development Learning and development help your company develop a capable workforce, but the two are slightly different: Learning in the workplace focuses on acquiring skills and knowledge that directly relate to specific tasks. An example is onboarding new employees and providing formal training on the company’s tools and software. Development is an ongoing and continuous process that encompasses broader career development, typically for future career opportunities. An example is a leadership workshop for mid-level managers to upskill. Recognizing the differences between these two components allows organizations to design programs that address both immediate needs and long-term organizational goals. With this foundation, let’s explore why investing in your L&D function is a strategic priority for leaders. Why Leaders Should Invest in Their L&D Function By investing in learning & development, you can prepare your workforce to adapt to change and feel supported throughout the process. But this isn’t the only reason to do it. Here’s why developing your L&D function and investing in ongoing learning needs to be a priority. Fills skill gaps Integrating advanced technologies like AI can enhance your operations. However, you need skilled individuals to implement and see digital transformation initiatives through. Otherwise, you’re unlikely to reap the full benefits that such initiatives offer. The problem? The global talent shortage makes finding talented individuals more challenging than ever. Seventy-five percent of employers report difficulty filling key roles. Organizations can avoid being left behind amid rapid technological advancements by investing more resources into their learning and development (L&D) functions. This enables them to upskill existing employees and fill critical skill gaps. Attracts and retains talent Here’s an uncomfortable fact: Seven in ten employees are actively (33.4%) or passively (37.3%) job hunting. That means some of your talent has one foot out the door and may jump ship if a better opportunity presents itself. There are many ways to retain talent—from offering flexible working arrangements to providing employment benefits. Another is a robust L&D function that continually sharpens and develops your employees’ skillsets. Seventy-six percent of employees indicate they are more likely to stay with companies that offer continuous learning. Highlighting your learning and development in job listings is also a great way to attract top talent. It can make your company more appealing to potential candidates who are narrowing down their options. Signals internal mobility Employees don’t want to feel “stuck” in their current position; they want to grow their careers and move into future roles with new responsibilities. However, employers aren’t doing enough to promote internal mobility to those with high career aspirations. Just one in five employees feels confident about their ability to make an internal career move. L&D programs signal to employees that your company is invested in their professional growth. They also communicate that internal development opportunities are available to them. Investing in L&D addresses current skill gaps and positions your organization to attract and retain top talent while signaling a commitment to internal mobility. Let’s examine how L&D enhances change readiness and supports employees through transitions. How L&D Improves Change Readiness The world continues to change rapidly, making change readiness—how prepared, willing and able a company is to implement a change—more critical than ever. You don’t have to look far to see what can happen when companies become complacent or refuse to change. Here’s how learning and development can help companies build change readiness and guide individuals through the transition. Prevents resistance to change Resistance to change is a natural response. People are often more likely to stick with current ways of working because they are familiar and comfortable. According to our research, the top reason people resist change is because organizations fail to communicate the “why” behind a change. They expect impacted employees to accept changes without involving them or getting their feedback. However, this approach ignores the people side of change and, as a result, doesn't create the strong outcomes organizations need to be successful. When employees receive the proper functional training, they develop the knowledge and skills they need to do the work associated with a change. Additionally, with change management training, you can guide employees through new changes and prevent resistance. Our Best Practices in Change Management research identified mid-level managers as the most resistant group during change. To effectively address this resistance, it is crucial to involve them early in change-related decisions and support them in acquiring the five elements of the Prosci ADKAR® Model—Awareness, Desire, Knowledge, Ability and Reinforcement. These are essential for fostering their commitment and ensuring successful change adoption. Most Resistant Groups Change management training provides L&D units with a structured framework for supporting and guiding individual employees through periods of change. Bridges the gap between knowledge and ability Understanding how to do something and putting it into practice is quite different. Even with the knowledge to perform a specific task, becoming proficient can take some time. This is known as the knowledge-to-ability gap. Through hands-on functional training and practical workshops, employees can develop the skills they need to close knowledge gaps. However, you can’t send employees to a training session and expect changes to “stick” straight away. Even as you foster ability in impacted individuals, potential challenges that can arise include: Psychological or mental blocks Inadequate time developing skills Habits that resist desired changes With change management training, L&D teams can help impacted employees address these roadblocks. Strategies can include providing access to subject-matter experts and allowing sufficient time to develop their skills. Creates an environment that welcomes change You need to nurture and embrace change to stay competitive. This starts by cultivating a growth mindset—the belief that abilities can be developed through effort. Satya Nadella, Microsoft’s CEO, agrees: “Our industry does not respect tradition. It only respects innovation. The first step to building the right company culture is to have a growth mindset.” A robust L&D function can help organizations build change readiness by fostering a growth mindset and creating an environment that views change as a natural part of growth. Some examples include: Making learning a part of daily work through regular skill-building exercises Providing a safe space for employees to experiment without fear of judgment Rewarding employees who take initiative on ideas, even if they don’t pan out Cultivating a culture of change prepares employees for the future, but sometimes, they need additional support. That’s where change agents play a pivotal role. Develops change agents who champion change Sometimes, employees need external support to help them adapt to new changes. This is where change agents can help. They serve as advocates for change, acting as a catalyst to increase commitment from those who must adopt and use new initiatives in their work. Their responsibilities include: Communicating the “why” behind a change and its impact Listening to impacted employees, answering questions, and providing feedback Encouraging and supporting employees during the transition Identifying potential roadblocks and taking steps to address them Working with leadership to apply structured change management strategies Our research reveals that organizations that use networks of change agents are more successful at achieving project objectives than those that don’t. Impact of Using a Change Agent Network (CAN) on Meeting or Exceeding Project Objectives With the right change management training, L&D units can identify and support change agents who can champion new initiatives and guide individuals through transitions. Common L&D Training Methods Companies employ various methods to train and upskill employees effectively, particularly in the context of change management. These include: Instructor-led training (ILT) – This learning solution involves a subject-matter expert leading in-person sessions. In a change management workshop, for example, leaders can learn to apply our ADKAR Model with their teams, enhancing their ability to manage transitions. On-the-job training – This method provides hands-on instruction, allowing employees to develop skills while performing their jobs. For instance, a new software implementation may involve employees receiving real-time guidance from experienced colleagues as they navigate the new system. eLearning – Employees and remote teams can learn at their own pace through eLearning, including virtual classrooms and interactive training. Your company might provide access to training modules and other online resources on change management principles, enabling employees to revisit materials as needed. Employees can view their learning objectives and track completion rates as they work through learning materials. Mentoring and coaching – This involves one-on-one guidance from experienced professionals. A senior leader might mentor a project manager on effective people engagement, ensuring that the change initiative aligns with business goals. Targeted training – Customized learning programs are designed to address specific roles or skill gaps. For example, a tailored program might focus on developing communication skills and other organizational skills for managers to effectively convey change-related messages to their teams. Each of these methods plays a critical role in preparing employees for change. However, training is most effective when tailored to the unique needs of different employee groups. Creating Tailored Learning Programs for Different Employee Groups To maximize the impact of new training programs, learning strategies should be tailored to fit the experience levels and career trajectories of different employee groups. Entry-level employees New employees rarely hit the ground running right away. They need time to learn the tools they will use for their work and internalize your company’s processes. Eighty-six percent of employees need some ramp-up time before diving into their roles. L&D for entry-level employees may focus on developing an onboarding process that helps new hires ramp up and prepare for their roles. It may also involve implementing a “buddy system”—pairing a new hire with an existing employee—to aid in the transition. L&D can encourage change readiness by offering hands-on learning programs and providing feedback to boost employee performance. Mid-level professionals L&D can support employees in mid-level positions as they move into more senior roles through: Relevant certifications in areas like HR, IT and project management to deepen expertise Leadership development workshops to build management skills Industry conferences to stay current with the latest trends L&D units can also add change management into their training to equip mid-level professionals with a framework, like the Prosci Methodology, to guide impacted employees through change. Senior management Continuous learning and development programs are critical for senior managers as their decisions have far-reaching impacts. L&D for this group may involve: One-on-one mentoring sessions Leadership retreats Peer learning groups L&D can support change readiness for senior management by defining project success and measuring key performance indicators to determine the impact of such initiatives. But regardless of the level of seniority, L&D programs are more likely to succeed when organizations focus on the people side of change. How a Prosci License Drives Change Success There’s a reason why 80% of Fortune 100 companies use the Prosci Methodology—it offers a structured framework for building change capabilities at the individual and enterprise levels. Here’s how a Prosci License can help your L&D function implement change management. We include some real-life examples that illustrate its effectiveness. Customize the Prosci Methodology to align with your culture The Prosci Methodology is designed for flexibility. You can customize and adapt our methodology and materials to keep your change management process and materials consistent with your organization and brand. An international bank recognized the importance of developing its change management capabilities. The company already had a process-based capability framework but lacked the capabilities needed to manage change. After evaluating different methods, the bank’s Organizational Effectiveness (OE) team opted for the Prosci Methodology. The bank adapted the Prosci Methodology into its existing internal training structures and customized our materials to standard change management. This helped establish a “common language” across geographic locations. The use of electronic delivery channels enabled the company to instantly deliver change-related communications to many individuals. The results? The bank elevated change capability across the organization and boosted employee engagement. Integrate change management into existing processes A Prosci license enables you to easily integrate role-based training into your organization’s culture and embed the methodology into existing change processes. A global manufacturing company had a strong track record for project management, but it lacked the change capabilities to support new strategic goals. So it turned to Prosci. After acquiring a Prosci License, the company created an enterprise change management plan, which included integrating change capabilities into its business processes. The plan also included role-based change management training. During this training deployment, two executives made the strategic decision to integrate change management into their business units. This was a key turning point. Other leaders followed suit over the next few years and embarked on similar journeys. Amplify and scale change across the organization At Prosci, we provide organizations with the resources to scale change management. These include proven frameworks to enable systemic change, standardized procedures to ensure consistency, and training materials you can customize to suit your needs. A multinational logistics company recognized its acquisition and transformation initiatives would require significant change. However, with six business units and over 6,300 employees across multiple countries, managing changes on such a massive scale wouldn’t be easy. The company selected the Prosci Methodology for its results-oriented approach and comprehensive training materials. After working with Prosci Advisors to determine the organization’s level of change management maturity, the Change Leadership (CL) department began building an awareness campaign. This involved distributing videos on the company’s intranet explaining our ADKAR Model and providing project-specific training to impacted individuals. Leadership selected four projects to apply the Prosci 3-Phase Process to demonstrate the benefits of change management before scaling out. The results exceeded expectations. In the first year, the company grew its organizational change maturity from 1.8 to 3.0 (on a 5-point scale). It also increased commitment from senior leaders and expanded change management across more areas of the organization. Grow Your Change Management Capability Investing in learning and development can supercharge employee engagement and elevate organizational performance levels across the board. But that’s not all; it also makes your organization more agile and ready for change. Imagine having the tools and resources to prepare your team to thrive during upcoming transitions. With a Prosci License, you can specifically tailor your L&D initiatives to focus on change management. This allows you to embed effective change management strategies into the very fabric of your organization. By harnessing the power of Prosci training and resources, you empower your team to navigate the people side of change with confidence and skill.