Change management is better than what you’re doing.

My biggest pet peeve is when leaders use “change management” as a buzzword.

The meeting is ending, people are starting to gather up their things or open an email, and a leader mentions as an afterthought “…and we’ll definitely need change management on this one.” Everyone nods, continues to pack their bags, and heads out the door.

There are a few possible scenarios that follow.

• Everyone forgets the mention of change management until after go-live, when adoption is slow and people are getting frustrated. Then someone slaps together additional training or job aids.
• The leader assigns “change management” to a team member with no change management experience, leading to months of stress for this person, who does their best without having the skills or tools (and ultimately doesn’t make an impact, through no fault of their own).
• The team brings in a change management team or expert (internal or external to the company) but gives them weak direction, few resources, and little influence. They struggle to get what they need from stakeholders and never make any real difference.

Don’t call whatever that is change management.

The reason this bothers me is that change management is one of the few disciplines that gets mentioned and then immediately overlooked. You won’t hear a leader say the first part: “…and we need some operational support” without a second part: “…to make sure the process can integrate with our technology.”

As change managers, we are begging for the second half of the sentence. Why do you need change management?

• Are you worried about audiences embracing the change because it’s a dramatic departure from the norm?
• Is there a lot of new content for people to take in and you’re worried they won’t remember on the job?
• Are you worried about people knowing and hitting key deadlines?
• Are there teams across the organization who need to come together to make this change work?
• Are there stakeholder groups that don’t want this change?
• Does the effort have an extended timeline and need prolonged momentum?

Once you know the “why,” you can plan the “how” – the change management solution. For example,

• If you’re worried about people embracing the change, focus the solution on their motivation — connecting to their purpose, showing them the value they personally will see from the change.
• If you need change management because there’s so much new content, put the training solution into high gear. Pull out all the stops to make sure the content is visible, accessible, and digestible (especially once you go live).
• If people coming together makes you nervous, focus on cross-functional collaboration and creating spaces to bring ideas together.

The “how” gets you to the “what:” adoption and performance — people doing things not just differently, but differently in the way that is needed to realize value.

To use change management successfully, don’t leave it as an afterthought. Explore why you need change management and how you will do it, to get to the goals of your initiative.

Want to explore the topic in more detail? We’d love to chat: Book a meeting

Four Truths Leaders Can’t Ignore.

When two organizations come together – whether through merger, acquisition, or partnership – leaders often focus on systems, structure, and strategy. But beneath the org charts and integration plans lies the most critical and most overlooked factor: culture. It’s the invisible current that determines whether people row together or row in circles.

I spoke with Aarif Aziz, Chief Human Resource Officer at Culligan International. He has seen Culligan through many acquisitions in recent years, so he has a great perspective and valuable advice for companies navigating culture integrations.

Aarif and his team have plenty of lessons learned. “We’ve done 300+ acquisitions in the last 6–7 years. It was very easy for us to bring examples where things didn’t go well. And interestingly, all the examples which didn’t go well were centered around culture. The question I had was, with such a rapid speed of integration, did we really take enough time to bring cultures together? (I validated) with our leadership team…everyone felt yes, we could have done more.”

Aarif and his Culligan HR leadership team have learned a lot about integrating cultures. They know that culture integration doesn’t happen by accident. It requires intentionality, clarity, and a lot of leadership. These four truths can guide the way.

1. The right culture balances diversity and consistency.

Every organization brings its own legacy of behaviors, beliefs, and norms. When companies merge, the instinct is often to declare a “new” culture (or dig in on the “old” culture) and expect everyone to conform. But research and experience tell us that forced uniformity rarely works. It dismisses the strengths each legacy culture brings to the table and erodes trust.

Aarif agrees: “There are uniquenesses and strengths of these cultures. That’s why these companies were successful and it became a valuable opportunity to bring them under (our) umbrella.

What we don’t want to do to say: this is Culligan culture and then copy-paste across the companies. It won’t be a successful model. It will destroy the value of our people and their diversity of thought.

Having said that, there are a few (culture) threads which have to be common. So, if we can bring those common threads, (build) some common ground, and empower people to operate, I think we create tremendous value.”

The goal is intentional integration: honoring the best of both while building shared norms that support the new strategic direction. This isn’t compromise; it’s culture design. Leaders should ask:

• What aspects of each culture helped the organization thrive?
• What values and behaviors will fuel our future growth?
• Where do we need alignment to function as one enterprise?

The most successful culture integrations are guided by a clear north star: a unifying purpose or set of principles that give teams something to believe in together.

2. Culture integration starts with behavior change.

It’s tempting to define culture as a set of values posted on the wall. But values mean little if they don’t show up in the day-to-day actions of leaders, managers, and teams. Real culture change starts where real work happens — in behavior.

Here’s Aarif: “No leader who understands how business gets done will be dismissive of how behaviors impact outcomes. Culture is abstract, so it’s really important to start with behaviors, not with complex frameworks or models.”

Here’s how:

• Define the specific behaviors that represent the new culture.
• Equip leaders and teams with practical tools and language to enact those behaviors.
• Reinforce those behaviors through systems: recognition, performance management, communication.

Aarif adds this advice: “Focus on small behaviors which impact the culture and really center the conversations around it. Because when you focus on behaviors, you impact the change at the ground level. It is relatable. Use the right examples, use data, and create opportunities for reflection. People are smart enough to pick it up.”

3. Culture integration takes leadership at every level.

One of the biggest pitfalls in post-merger integrations is assuming culture is “owned” by HR or the executive team.

Aarif emphasizes the importance of leading culture change: “The face of the entire effort must be the CEO and the business leadership. If they are leading it, they will emulate the right behaviors. They will lay out the right expectations, and it changes from being a business initiative to a business imperative.

Almost every business has come to HR with a specific priority for moving the needle on culture by changing behaviors. Not as an ask from us, or a mandatory requirement. But as something they are suggesting and prioritizing. So, for me, that’s a big win, because it is not driven by HR. Our role is to be the catalyst. It is a business agenda, so it’s driven by the business leadership.”

Senior leaders are essential, of course. But culture integration happens in everyday interactions: team meetings, project decisions, customer conversations. That means everyone leads culture, whether they manage zero people or five thousand.

To support this:

• Give leaders at every level a clear role in the culture journey.
• Build their capability to coach, role model, and reinforce behaviors.
• Share stories and examples from across the organization that bring the culture to life.

Aarif adds that collaboration between leaders and employees is key. “I think our people are quite conscious that the company is responding and focusing on culture. So, our two-way channels… not (just) top down, but also…bottoms up…(are) helping immensely.”

4. Culture integration is not a project; it’s a process.

Perhaps the most dangerous myth is that culture integration can be “checked off” once the dust settles. In reality, culture work is never done. It’s a continuous process of alignment, reinforcement, assessment, and evolution.

Aarif knows how important the assessment part is. “If you have clear measurement, you are able to assess the progress toward integrated culture and business outcomes. Is it becoming better, not better? And why?

I think for me the measure of success is two things: how our people are feeling and our business results. We have ways to understand and see the pulse of our people, right? But the final measure of any of this is business success. Your goal: People are feeling great, and the strategy is clear. People know what they’re doing, and they’re focused on outcomes.

And continue to monitor and show progress and continued engagement. Otherwise, you end up losing after initial momentum.”

Especially in the months following a merger or acquisition, sustained attention is key:

• Use pulse surveys and feedback loops to measure how culture is taking hold.
• Revisit and refine your culture roadmap as the business evolves.
• Celebrate business outcome milestones but also acknowledge the messiness of change.

Think of culture like a garden. It requires planting, watering, pruning, and patience.

Culture can be your competitive edge.

Culture isn’t the soft stuff. It’s a hard differentiator. Companies that invest in deliberate culture integration post-merger are more likely to retain key talent, accelerate performance, and achieve strategic synergy.

Help your organization navigate these transitions with empathy, structure, and behavioral science.

Want to explore the topic in more detail? We’d love to chat: Book a meeting

If AI is the future of work, why are we designing away people who do the work?

The business case for AI is efficiency. That usually means fewer jobs.

Dario Amodei, CEO of Anthropic, warned Axios that AI would lead to the “mass elimination of jobs across technology, finance, law, consulting and other white-collar roles, especially entry-level gigs.”

Noam Scheiber, from the New York Times, found that experienced workers aren’t safe either – companies are questioning the need for costly oversight when AI can make cheap labor more productive.

Whether we’re rookies or veterans, the financial incentive is clear: the organization will be leaner.

Traditionally, people grew into leadership by moving through roles that gave them critical on-the-ground experience. But today, those foundational roles are the first to be automated.

Are we eliminating the lived experience that feeds our leadership pipelines?

TaQuonda Hill, a senior information technology transformation leader, and I discussed the potential impact on succession planning and talent development.

The Irreplaceable Skills

Repetitive tasks have value. Flipping burgers, writing procedures, researching case law, or calming angry callers builds something more enduring than muscle memory. These experiences teach us how to lead.

Among the lessons:

Empathy. If you’ve done the job, you understand the people who still do it. It makes you more relatable — and more effective. Empathy is the foundation of connection.

Grasp of Implications & Context. You don’t know what you don’t know. But when you’ve done the work, you’re more likely to anticipate unintended consequences. Consider Boeing’s 737 Max crisis. Leadership outsourced critical engineering oversight for speed and savings. But without the institutional memory and technical fluency, they missed the risk. Tragic results followed.

As TaQuonda put it, “When you strip out the context, you gut the leadership pipeline. You might gain speed, but you lose the lived experience that turns managers into leaders.”

Team Development. People don’t scale. Teams do. And good teams are built by people who know how to work through complexity. One of my first summer jobs was at Burger King. A colleague made a point of slinging hot oil my way. It wasn’t fun. But it was formative. I learned to navigate conflict and win people over without authority.

As TaQuonda put it, “AI can make work transactional. But leadership isn’t transactional – it’s relational. If we raise a generation of leaders who’ve never had to influence, inspire, or navigate uncertainty, we’ll lose what makes them credible.”

Cultural Awareness and Navigation. Knowing what will and won’t work in a given organization takes experience. Call it politics if you want, but it’s how things get done. Being right isn’t enough. You have to understand the system you’re in, and how to move within it.

The fantasy is that tech will replace people. The reality is that it replaces undifferentiated effort. This leaves us with a greater need for people who can think, adapt, and scale others. Insight comes from experience, and we’re cutting the very roles that grow it.

The Risk of Outsourcing Potential

Traditionally, leadership was forged in the trenches: prioritizing under pressure, communicating across silos, and failing forward. Early-career roles weren’t glamorous, but they offered repetition, feedback, and the slow build of judgement.

If we are not careful, we’ll eliminate this development stage entirely. More than ever, leadership development must be intentional.

TaQuonda believes that “Leadership development needs to be treated like product development – intentional, resourced, and iterated. You can’t outsource wisdom.”

“Some organizations are building escalators – fast, effective AI-driven paths to decision making. But real leadership is built on stairs: deep skills, context, and ability to tell a story because you’ve lived it.”

And that’s the key. “Talent is currency,” TaQuonda adds. “But it’s not about what skills someone has – it’s about the impact they can deliver. That’s what leaders need to recognize and grow.”

What Great Organizations Are Doing

According to TaQuonda, we’re still learning where AI fits into our organizations. “It’s not Big Bang. It’s iterative. We start with buttons, not blueprints.” That means evolving not just the technology, but how we lead through change.

“We’re used to investing in tech labs to drive innovation,” she notes. “Maybe it’s time we invested in leadership labs to do the same for judgement, storytelling, and behavioral skills.” In this new model, learning isn’t confined to training sessions; it’s embedded in the work. “We don’t just train – we rotate, experiment, and test. You build it, you run it. That creates accountability.”

The Takeaway

It might look like we’re outsourcing our bench. In reality, we’re weakening our succession plans.

AI is here. But our future depends on human leaders.

We can outsource tasks. We can’t outsource wisdom.

How to Get What You Want When You Don’t Know What You Want.

It’s the kickoff meeting with the change management consultant for your project. In an ideal world, you know what goals you want to hit, and you understand the consultant’s approach to getting you there. But what if neither is true?

Confusion. Awkwardness. Wasted time. Opportunity?

Yes, that last one. Because if you have a good consultant, this is the beginning of a beautiful partnership.

Why? Because think about the flipside – you both think you know exactly how to proceed. That’s a recipe for disappointment.

Too often, consultants and clients think they’re aligned.

They charge forth without setting a foundation for clarity and trust. Then they have to course-correct, sometimes with painful consequences.

Not knowing is a gift – it forces you to discover, align, and work together.

So, how should your consultant set this foundation?

Discover.

Your change consultant should get themself up to speed and ask for your help to do it. Instead of making you explain and show them everything, they should respect your time and do some homework. Here are some of the things they can do:

• Review organization documentation. The consultant should review the mission, vision, and values of your organization. They should also familiarize themselves with the org chart, key roles, and the geographic layout of the organization.

I once worked with a team that had a value around “community impact,” and it kept showing up in small decisions. Knowing that from the outset helped me frame every change in terms of how it affected their mission, not just their margins.

• Review project documentation. The consultant should study the business case, plans, project team org chart and roles, tools to be implemented, and any deliverables created to date. They should also review your organization’s approach to change management, if you have one.
• Observe. Is there a facility or plant tour that would give the consultant a sense of the work of the company and the work environment of stakeholders? Could they shadow key roles to capture a “day in the life” of employees? Can they sit in on meetings? They should ask you to set those observations up for them.
• Conduct interviews. The consultant should talk to key people about the change facing your organization. This will give them the mindset of key players and your company’s environment and culture. They should ask open-ended questions like, “How would you describe the change ahead?” “How do you and others feel about it?” “What are the biggest risks?” “What do you hope for once this change is implemented?”

I remember asking a stakeholder, “What does this change mean to you?” and she replied, “Honestly? I’m just scared it means more work with less clarity.” That moment shaped how we approached the communication plan—we made transparency one of our north stars.

Answer the big three.

What does success look like?

Your consultant needs a crystal clear view of what success looks like for this initiative. And so do you! Getting to a shared understanding of the goals of the change is essential, before you start. That’s what you’re both working toward.

• Quantitative Goals. Hopefully you have something to share with your consultant – a business case for the project, strategic goals for the near-term, KPIs this change will help you hit… This will give your consultant clear targets, so they can make sure the change management approach points toward the center.
• Qualitative and Broader Goals. Near-term quantitative goals always have a “so what?” attached. For example:
  • Quantitative Goals: Adoption of the new system on Day One will save a certain amount of money (avoiding lost performance after go-live) and make a certain amount of money (selling a new product, etc.)
  • Broader Goals: This will expand the customer base and allow the company to grow.
  • Qualitative Goals: The new system and employees performing well on Day one will improve customer satisfaction, boost employee morale, and allow employees to develop faster through higher-level work.
• Personal Goals. You might have hopes and dreams attached to this change project, and that’s important information for your consultant.

Maybe opening a new facility is something you’ve imagined for years. Maybe you want to see the looks on your team’s faces when they love their jobs just a little bit more. Maybe this new project will help you hit your next career milestone.

Your consultant should be working to get your organization and you what you hope for.

I once worked on a project with a major retailer, and the client confided that if this system rollout went well, it would give her the credibility to throw her hat in the ring for a VP role she’d been eyeing. Knowing that gave us both extra motivation to make sure the project told a story of her leadership.

How will we get there?

• Your consultant should have a change management approach to get you to that success. They should walk you through it, step by step.

But if your organization has a change management model/approach/function you want your consultant to use, they should be able to do that and, importantly, describe to you how they will align with each step. Make sure your consultant has experience using their clients’ models.

• They might have a change diagnostic. This will show you your organization’s readiness for the change ahead in a number of key areas. This will do three things:
  • Identify where you need to focus. The diagnostic will identify gaps in your readiness, so you can channel your energy there.
  • Align key people on the landscape – the assets and liabilities – that you’re starting with.
  • Provide a dashboard to use throughout the project. You should come back to the dashboard periodically, to make sure you’re closing those gaps in time for your launch.

The diagnostic I use with Emerson clients rates readiness of 17 elements that map to our change model. We do the diagnostic in a working session with key clients, to surface all information, align on the current state, and agree to use the dashboard throughout the project.

One client described the diagnostic session as “like holding up a 360-degree mirror to the organization. Some of what we saw wasn’t pretty, but it was real, and we needed it.” That honesty helped set the tone for an open, focused partnership.

• Talk with your consultant about a culture assessment. It’s essential to understand what works (and what doesn’t) in your organization.

The consultant might do a “quick and dirty” culture assessment through interviews or conduct a more formal assessment. Then they should tailor the approach to the culture. Bottom line: if you want the change management approach to work and your change to stick, you need to go with the culture, not against it.

How will we work together?

Your consultant should want to know how to work with you best. Beware of consultants who simply inform you how they plan to communicate and collaborate. And don’t insist on a working approach that fits only you. This should be a conversation, ending in a working agreement that serves both of your styles and needs.

At a minimum, talk about:

• What checkpoints and decisions you need.
• Who needs to be involved in each decision or deliverable. Consider a RACI chart for the key people in your organization, so the consultant understands exactly whom to loop in, and how.
• How you like to communicate, and how often. What platforms do you like: email, messaging, texting, face-to-face, phone calls, shared documents? How often od you want to talk or collaborate? How much information do you want? What situations should trigger immediate communication?

Pro tip: Create a one-page working agreement. I once had a client who preferred Microsoft Teams messages over emails and wanted short audio recordings instead of reports so they could get caught up during their commute. That little note saved us countless misunderstandings.

• How you’ll handle roadblocks or resistance. What should your consultant do if they get push-back, inefficiency, or silence?

Your consultant should document your working agreements – nothing fancy, just a one-page outline of what you’ve agreed to. It might seem unnecessary, but it will prevent confusion when the project heats up.

Formalize it.

For each question, type it up and say it out loud – together. There’s no skipping this step. Have the consultant restate your wishes and agreements to make sure you’re on the same page. Think about it – what did you miss? When you’re both satisfied, share the documented approach, goals, and working agreement.

I once worked with a nonprofit that had just gone through a leadership change. We created a framing document outlining what success looked like and how we’d get there. A few months in, I noticed they were subtly shifting direction. I brought the document to a check-in, and sure enough—the new leadership had moved the goalposts. We updated the plan together, and from then on, reviewed it monthly. That simple document became our lighthouse.

Work the plan.

The plan – everything you’ve documented – is a living thing. Your consultant should revisit those key documents regularly (especially in the first few weeks) to document progress and make sure those plans still serve you based on emerging information. If not, revise them and make a new agreement.

When things get messy (as they often do) this work you did up-front will become your anchor and your way through the fog.

You didn’t engage a change management consultant to type up documentation. And you certainly didn’t hire them to tell you and your organization what you need. Neither of you has all the answers. It’s a partnership – you bring the organizational and industry expertise, and they bring the change management experience, informed by decades of big changes across many organizations. The synergy is what will get you to your goals, once you figure out what they are.

And How to Do AI Better.

Artificial Intelligence has the potential to transform how organizations work, innovate, and serve customers. Yet many leaders find themselves underwhelmed by the results of their AI initiatives.

In fact, new data from MIT show that 95% of AI pilots are delivering zero measurable return!

Why? Because the problem usually isn’t the technology. It’s how you’re using it.

Here are the five biggest mistakes:

1. Your data isn’t ready.

The old adage applies: garbage in, garbage out. If your data is messy, inconsistent, or incomplete, AI can only amplify those flaws.

• Is your data structured in a usable way?
• Are you using a data lake or other scalable storage strategy?
• Did you flood your LLM with everything you had, without cleaning, tagging, or segmenting it by relevance?

Raw data without curation leads to weak insights. AI’s output is only as strong as the input it’s given.

2. You implemented without a strategy.

Too often, companies pursue AI simply because everyone else is doing it. That approach almost guarantees disappointment. Successful AI adoption requires:

• A strategy aligned with business outcomes.
• Clear metrics for value (beyond “hours saved”). Think faster time to market, improved customer experience, or stronger employee engagement.
• A focus on use cases, not hype. AI should solve real business problems, not be a vanity project.

If you deployed AI without knowing the problem you wanted it to solve, you’re wasting your investment.

3. You didn’t prepare your people.

AI changes how people work. It requires different ways of thinking, new workflows, and new communication patterns. If your workforce hasn’t been:

• Trained in how to interact with AI,
• Guided on how their roles will evolve, and
• Supported in building new skills

…then you’re in for employee resistance and underperformance.

4. Your prompts (and people’s AI literacy) are weak.

Large language models don’t just “know” what you want. They need to be guided. That’s where prompt engineering comes in. It’s an art as much as a science. Weak, vague, or overly broad prompts generate disappointing results. Strong prompts, by contrast, can unlock nuanced, actionable insights.

But prompts don’t live in a vacuum. Without AI literacy, your workforce won’t understand how AI works, its limits, or its ethical considerations. Teaching people how to think critically, ask better questions, and apply responsible practices is the foundation of writing better prompts.

5. You underestimated change management.

AI adoption isn’t just about technology; it’s a change initiative. Like any organizational change, it requires leadership sponsorship, communication, and reinforcement.

And here’s the critical piece: storytelling. You must tell AI success stories in a way that makes employees feel part of the journey.

Numbers and technical jargon don’t inspire people to change behavior — stories do.

When leaders frame AI as a story of empowerment, growth, and human/AI collaboration, adoption accelerates and resistance fades.

Done well, storytelling removes fear. It helps employees see themselves as an essential part of the organization’s future.

AI success doesn’t come from buying the latest tool or chasing the latest trend. It comes from laying the right foundation:

1.  Clean, structured data.

2.  A clear strategy with measurable outcomes.

3.  People who are prepared, skilled, and literate in AI.

4.  Strong prompts fueled by critical thinking.

5.  Change management fueled by storytelling.

Organizations that master these fundamentals are the ones realizing AI’s full potential – and the ones who won’t be left behind.

References:

Chari, P., Challapally, A., Pease, C., Raskar, R., & Nanda, M. (2025). State of AI in business 2025. Project NANDA / MIT.

Perry, J. M. (2024). The AI evolution: How leaders can build an AI-native organization. Vibes AI Press.

You can win if you avoid these pitfalls.

We’re all witnessing the transformative potential of Artificial Intelligence (AI). From streamlining operations to unlocking new customer insights, the promise is immense. But as many business and IT leaders are discovering, turning those AI dreams into reality can be a bumpy ride.

How often do AI projects actually succeed? According to research by Harvard Business School’s Iavor Bojinov, the current success rate of AI projects hovers around a sobering 12%.

The current ROI on most AI initiatives is overwhelmingly low.

Leaders are compelled to invest based on AI’s ethereal promise, but in the short term, the current financial returns are just not there.

So, how can we buck this trend and ensure AI initiatives deliver tangible results? Bojinov’s insightful work, including his HBR article Keep Your AI Projects on Track, provides crucial guidance for leaders.

The Pitfalls and How to Avoid Them

Bojinov’s research highlights several common challenges that derail AI projects.

• Lack of Clear Business Objectives: Many initiatives kick off with the “cool” factor of AI rather than a specific problem to solve or opportunity to seize.

To overcome this temptation, start with a clear business need. Don’t let the technology lead; let the business strategy drive your AI efforts.

Ask, What business outcomes are we trying to achieve? How will AI help us get there?

• Data Dependencies and Quality Issues: AI thrives on data, but often the data is siloed, messy, or insufficient.

Leaders must understand the data landscape early on. Invest in data infrastructure and governance, as a big chunk of an AI project timeline is often devoted to data preparation.

Ask, Do we have the right data, in the right format, and of sufficient quality to train and deploy our AI models effectively?

• Talent Gaps and Integration Challenges: Integrating these solutions into existing systems and workflows can be a major hurdle.

Building and deploying AI solutions requires specialized skills. Take a multidisciplinary team approach that bridges the gap between business understanding, data science expertise, and IT capabilities.

Ask, Do we have the right talent in place, or a clear plan to get it? How will our AI solutions integrate with our current technology stack and business processes?

• Traditional IT Development Approaches: Long projects with a broad scope put AI projects at risk because they lock you into a solution from the start.

AI projects are often exploratory by nature. First, AI innovation is moving fast, so you’ll want to take the latest thinking into account. Second, you need to test and confirm what works for your company. Using an iterative or Agile approach, you can bring in new ideas midstream and “fail fast” to land on the best outcomes.

Ask, How can we create a nimble project? What mindsets and processes do we need to innovate, test new solutions, and incorporate lessons learned?

• Overlooking the “Human” Element: Resistance to change, lack of trust in AI-driven insights, and inadequate training can all hinder adoption.

AI implementation isn’t just about technology; it’s about people. Bojinov underscores the need for change management and clear communication. For example, engage stakeholders early and often. Focus on how AI can augment human capabilities rather than replace them.

Ask, How will we prepare our employees for these changes? How will we build trust and ensure the adoption of AI-powered tools and insights?

The Takeaways for Leaders

Bojinov’s work provides actionable insights for successful AI initiatives:

• Focus on business value first. Define specific, measurable business goals before diving into technology selection.
• Prioritize data readiness. Invest in your data infrastructure and ensure data quality is a top priority.
• Build collaborative, cross-functional teams. Foster communication and collaboration between business, IT, and data science teams.
• Embrace iteration and agility. Adopt an agile approach that allows for learning and adjustments along the way. Break down large projects into smaller, manageable milestones.
• Don’t forget the people. Plan for change management, communication, and training to ensure successful adoption.

The potential of AI is undeniable, but realizing that potential requires a strategic, business-driven approach. By learning from the challenges and adopting these principles we can improve the success rate of our AI initiatives and unlock the true value of this transformative technology.

Four Ways AI Can Help Change Management Practitioners.

When you are leading a major transformation — an ERP implementation, an operating model redesign, a merger — one thing becomes clear, fast: even the best project plan does not guarantee people will adopt the change.

That is where change management comes in. And today, change professionals have a new tool in our toolkit: AI.

Used well, AI can accelerate outcomes, improve precision, and reduce risk. Here’s what it can help us do:

1. Surface what matters, faster.

Large-scale change generates a huge volume of data, like stakeholder feedback, pulse surveys, support tickets, and internal chat. AI can analyze that data in real time, identify sentiment trends, and flag emerging resistance. Instead of waiting for issues to escalate, we can respond early — with targeted interventions that matter.

2. Personalize the experience at scale.

Diverse groups need different messages, different training, and different levels of support. AI allows us to segment audiences intelligently and tailor communications and learning experiences without increasing headcount. The result? Higher engagement, faster uptake, and less noise.

3. Forecast risk with data, not just instinct.

We have all relied on experience to anticipate resistance. Now, we can combine that instinct with AI-driven models that flag risk area, based on real behavioral patterns and prior project data. This lets us get proactive, not just reactive.

4. Free up humans to do what humans do best.

AI can manage repetitive work: drafting initial communications, organizing feedback, or summarizing survey results. That frees up change leaders to do the higher-order work: building relationships, managing stakeholders, and navigating the culture. In short, it lets your team stay focused on the “human” side of change.

Here’s how I’m putting it into practice.

I have started to apply AI in small, practical ways to support my clients:

• I launched a brief survey to gauge stakeholder sentiment, then used AI to quickly analyze and categorize the responses.
• I created a job-aid on how to customize a navigation bar in a new system. I used AI for the first draft and formatting.

I have even used AI to do more sophisticated tasks. For example, AI helped me conduct a Segregation of Duties exercise during a major SAP implementation, identifying conflicting roles within jobs. This supported the client’s regulatory compliance. It also helped them to reduce the risk of fraud, error, and misuse of sensitive systems.

AI is not replacing change management. It is enhancing it, helping us deliver smarter, faster, and with greater confidence. At Emerson, we do not chase shiny objects. We use tools that help people adopt change and make it stick. AI is now one of them.

Onboarding during mergers or acquisitions means behavior change and culture alignment.

Mergers and acquisitions (M&As) are high-stakes transitions that test not only a company’s financial and strategic chops, but its ability to lead people through change.

The success of the integration hinges less on balance sheets than on behavior—how quickly and effectively employees adapt, align, and re-engage under a new banner. This is where onboarding (usually a tactical HR event) becomes a powerful and transformative process.

Behavior change starts with meaning.

In M&A environments, employees often feel like change is being done to them rather than with them. The first step in onboarding post-merger is restoring a sense of meaning.

Skip the boilerplate mission statements and strategic advantages. Instead, draw a clear throughline from the business rationale to employee realities. Don’t just talk about what is changing, but why—and what it means for employees’ roles, impacts, and growth.

How to do it: Smart organizations embed the merger story into onboarding touchpoints—town halls, manager one-on-ones, digital welcome kits—so that employees don’t just hear the change narrative, they begin to see themselves in it. That emotional engagement is the first step to the behavior changes you need.

Make the invisible visible.

One of the most common pitfalls in post-M&A onboarding is assuming culture will take care of itself. In reality, cultural alignment is a heavy lift.

Employees are often caught in a tug-of-war between legacy norms and new expectations. They need help decoding which behaviors are being carried forward, which are being left behind, and what’s new.

How to do it: Make the norms explicit—what you want employees to stop, start, and continue. One way is to use behavior charters or culture handbooks—not as static PDFs, but as conversation tools and performance rubrics.

For example, if the new organization values cross-functional collaboration, boil that down into observable employee behaviors: meeting and communication practices, decision-making rules, etc. Then reinforce those behaviors in real time (meetings and emails) and during milestones (performance reviews and reward practices).

Use peers and informal networks.

Formal onboarding only goes so far. Peer dynamics—who people talk to, learn from, and emulate—are among the strongest drivers of culture adoption. Post-merger onboarding should intentionally activate these social systems.

How to do it: Assign culture ambassadors or integration buddies, especially for employees moving from an acquired organization. And make sure they aren’t just tour guides—they’re behavior models.

Equip managers to lead the shift.

Middle managers are the linchpins of M&A onboarding, yet they’re often overlooked or underprepared. They’re expected to drive performance while managing uncertainty and modeling new behaviors themselves. Treat manager enablement as part of the onboarding process. A well-prepared manager can turn confusion into clarity and resistance into readiness.

How to do it: Equip managers to be their team’s first, best lifeline. This might include targeted coaching, just-in-time toolkits, or structured sessions on topics like navigating ambiguity or giving feedback across cultural lines.

Storytelling is another powerful way to transmit cultural DNA and reinforce behaviors. Help managers tell success stories about employees who demonstrate the “new way” of working—especially when they span legacy boundaries. These narratives don’t just reinforce desired behaviors; they signal what’s possible and safe within the new organization.

Measure and iterate.

Finally, onboarding should not be a one-and-done event—it should be a strategic, evolving process.

How to do it: Establish metrics that go beyond completion rates. Look at engagement levels, behavior adoption, time to productivity, and pulse feedback on cultural alignment. Then use those insights to refine the experience continuously.

In M&As, onboarding is not just about teaching systems and policies—it’s about shaping mindset and behavior. By designing onboarding as a deliberate culture transfer and behavior change effort, organizations can accelerate integration, reduce attrition, and build a new shared identity that’s greater than the sum of its parts.

Want to explore this topic in more detail or learn more about Emerson? Hop on his calendar: Book a meeting with Rich

Vacation prep might just hold the secret to better change management.

I’m currently planning a trip to England and let me tell you: I am very excited. I’m dreaming of long pub lunches (what keto diet?), exploring all of the Liverpool Beatles landmarks, and a tour of Anfield stadium (home of my beloved Liverpool Football Club).

But something struck me the other day as I was researching places to stay and planning my itinerary.

I realized that the anticipation of this trip might be giving me more joy than the trip itself will. Not because the trip won’t be amazing. (It absolutely will; I will be hitting numerous bucket list items.) It’s because my brain is already cashing in on the excitement. This is not unique to me, it turns out, but rather a well-researched phenomenon.

The Science of Looking Forward

A 2010 study published in Applied Research in Quality of Life found that vacationers often experience the highest levels of happiness before their trip even begins. The act of planning, imagining, and looking forward to something positive can create a sustained boost in mood — sometimes more so than the event itself.

Why? Because our brains love a good story, especially when we get to be the hero.

Anticipation activates the reward centers in the brain, creating a feel-good feedback loop.

We imagine the best possible version of the future; in doing so, we start to feel like it’s already happening.

Now here’s where it gets interesting: what if we could apply that same insight to one of the most notoriously stressful things in the workplace: organizational change?

Change Management Could Use a Holiday

Let’s be honest: when employees hear about a big change coming — a new system, a reorg, a shift in strategy — their first reaction is rarely joy. More often, it’s fear, resistance, or confusion.

But what if we could turn that reaction on its head by borrowing some principles from the psychology of vacation anticipation?

Here are five takeaways from the research on pre-vacation happiness that can be directly applied to leading people through change:

1. Build positive anticipation.

Just as a countdown to a trip builds excitement, leaders should start building positive anticipation early. Describe the better future in vivid, emotional terms. Make the outcome feel worth looking forward to — not just logical or necessary.

2. Involve people in the planning.

Part of the joy of travel is choosing your own adventure. Give employees a sense of agency by inviting them to shape how the change rolls out. When people feel like co-creators instead of passive recipients, engagement skyrockets.

3. Offer previews and sneak peeks.

Travelers love photos, reviews, and sample itineraries. In the workplace, you can provide early demos, pilot programs, or walkthroughs to help people visualize what’s coming. Let them mentally “try before they fly.”

4. Map the journey.

Much like a travel itinerary, breaking the change down into clear, manageable steps helps people feel oriented and in control. Celebrate milestones along the way. Give people a roadmap that makes the change feel achievable.

5. Support the post-trip dip.

Just as travelers often feel a slump after returning home, employees may feel underwhelmed or disoriented once a big change is implemented. Don’t let the momentum die. Continue telling success stories, offering support, and reinforcing the new reality.

Your Next Change as a Journey

If you’re leading change, you’re not just managing logistics — you’re guiding an emotional journey. Think like a travel agent. Stir excitement. Tell a compelling story. Help your people pack their bags for success.

Because if planning a trip can make someone happier than the trip itself, imagine what that kind of anticipation could do for your next change initiative.

Now if you’ll excuse me, I have to go find out whether cream or jam goes first on a proper English scone. (Spoiler: it’s a heated debate.)

Want to explore this topic in more detail or learn more about Emerson? Hop on his calendar: Book a meeting with Rich

If change management stalls, balance fuel and friction.

We’ve all seen promising change initiatives falter. We craft compelling visions, highlight the benefits, and try to generate excitement – we fill up on the “fuel”. But often, progress stalls even with a full tank. Why?

Loran Nordgren, Professor of Management and Organizations at Northwestern’s Kellogg School of Management, has tackled this conundrum. Nordgren is a behavioral scientist whose research explores the psychological forces that propel and prevent the adoption of new ideas.

According to Nordgren, we often focus too much on “fuel” and overlook the powerful forces resisting change: the “friction.”

What is Fuel?

Fuel is anything that increases the motivation or desire for change:

• Painting inspiring visions of the future state.
• Highlighting the urgency or benefits (the “why”).
• Offering incentives, recognition, or appealing rewards.
• Showcasing strong leadership endorsement.

We naturally focus here – trying to propel people towards the new goal.

What is Friction?

Friction comes from the psychological and practical barriers that make change harder, even if people are motivated – the forces that inhibit the change. These include:

• Effort: The sheer work required to adopt the new way.
• Complexity: Confusing processes or unclear instructions.
• Ambiguity: Uncertainty about roles, expectations, or outcomes.
• Emotional Costs: Fear of failure, loss of status, or breaking old habits.

These frictions act like headwinds, slowing down or stopping change entirely.

In his book, The Human Factor, Nordgren provides the example of a company that was struggling to sell innovative and customizable furniture despite great engagement and excitement from their target demographic. They added fuel to their initiative by doubling down on their brand’s unique offerings and even lowering prices. Sales remained static.

Pivoting to friction, they discovered the main hurdle was customers not knowing what to do with the furniture they would be replacing. Once the company started offering free removal services upon delivery, sales took off. It wasn’t a fuel issue; it was about removing unseen friction.

Find the balance.

Reducing Friction is often far more effective than adding Fuel. It’s easier to clear the path than to constantly push people harder down a rocky road.

Instead of focusing only on motivating (adding fuel), actively seek out and eliminate the frictions holding them back. Here’s how:

• Identify the frictions. Ask: What makes this change difficult for people? Where is the confusion? What old processes are getting in the way? What anxieties exist?
• Simplify ruthlessly. Make the desired new behaviors as easy as possible. Streamline processes, provide clear templates, offer step-by-step guidance.
• Clarify and communicate. Reduce ambiguity. Ensure roles, responsibilities, and expectations are crystal-clear. Address concerns directly and honestly.
• Provide support. Acknowledge the emotional effort involved. Offer training, resources, and easy access to help.

Effective change management isn’t just about selling the destination; it’s about paving the road. By shifting focus to identifying and removing the barriers, you make change smoother, faster, and more sustainable.