Change is a team sport — so every player needs to own it. Here's how to get everyone involved.
Becoming change-ready requires the whole team, not just a select few leaders.
This column was originally published on Entrepreneur.com on MAR 3, 2023.
Heraclitus, an ancient Greek philosopher, said that change is natural and constant. Nowhere is this adage more alive than in the business world; the entrepreneur's origin story is built on change.
Recently, Frontier Airlines enacted a change by removing its customer service phone number. This leaves customers to find solutions through digital channels. With this change, the customer experience will transform entirely, creating a significant difference in the organization. This approach will allow Frontier Airlines to uncover insights that might inform, validate and challenge its strategy.
Making a bold choice such as this can be difficult, which is why many leaders and founders struggle with change.
Why is change so hard for a growing business?
Many businesses insist on leaving transformational leadership in the hands of a small group of senior leaders or change managers rather than making it part of their team's mission. Maybe because change is so crucial at the beginning of a venture — the scrappy entrepreneur needs to disrupt, innovate, sell their home and live in a basement. Then a company's relationship to change changes.
A familiar disappointment for company leaders is the feeling of getting slower as they grow. The profile of people who start and join a small company is vastly different from those who join as the company grows and becomes more stable. Stability becomes the preference and inertia the enemy.
The demands of a company's growth stage can reveal individuals' unproductive relationships to change. These relationships can be put into three categories. Receivers of change believe change is being done to them. Resistors to change believe they can wait out the change, and controllers of change ultimately believe they can plan and manage their way through it. Being big doesn't have to mean being slow or putting change on the back burner, and entrepreneurs can overcome these unproductive attitudes.
Organizations growing most sustainably continue to disrupt at all stages of growth. The ability to continue to adapt and outpace the changes of the external environment requires change-ready leaders at all levels.
What are the benefits of a change-ready organization?
Companies with change-ready teams can tackle and rise above the challenges of their environments more easily than teams that rely on top-down change management. Companies that insist on only entrusting change to a select few leaders are bound to find a lack of change, engagement, diversity and connection with customers. We've already established that change is constant, and leadership needs to reflect that in order to have a change-ready culture.Here's what sets change-ready leaders apart:
- They're more engaged. They understand that emotional agreement precedes strategic alignment, so they seek to bring everyone's voices to the table.
- They're more adaptable. They are open to their teams' conflicting views and assumptions and can adapt to the increasing rate of change in the environment.
- They lead with a mutuality mindset. They know that diverse teams generate even stronger ideas that consider key risks and ensure their teams think from customers' perspectives.
Perhaps the most important benefit of developing change-ready team members is that researchers believe that "employee attitudes to change are key predictors of organizational change success." People who see change as a constant and necessary source of opportunity are best positioned to turn change into positive forces for their organizations.
How can leaders nurture change readiness?
Instead of managing change from the top down, leaders could find that a more sustainable way of staying change-ready is to engage the whole team. How can leaders begin to cultivate a change-ready mindset among team members? Here is a playbook of initial strategies to try:
1. Accept that change isn't linear
Change is messy. It progresses one day and falls back the next. Many leaders operate under the notion that periods of change in their companies will be followed by periods of calm or that change will eventually end. This is a misconception; business is change, and creating conditions of change readiness will be more enduring than making temporary preparations to handle a specific change.
Therefore, leaders should adapt their mindset around change in their companies. At BTS, we know that change is no longer an individual sport but a team sport. Rather than a few elite surfers trying to conquer the waves, we see change more like white water rafting, where everyone must work together to make it through the waves.
2. Build awareness of your own relationship to change
Before you can successfully lead anyone through change, you need to heighten your own self-awareness of your productive and less productive responses. This starts with a biological reality: Although change is coming at us faster and more frequently than ever before in human history, biologically, we are wired to respond to change as a threat. In the past, threats to our existence were lions, tigers and bears; in the modern change-filled world, threats are things such as looking bad, being wrong or losing control.
The first step any organization can take to build more change readiness is to help every leader understand their beliefs around change and offer them new tools and approaches to be more effective. This is the approach we took with a Fortune 200 company that, in anticipation of significant structural shifts for the organization, equipped all 50,000 employees with new tools and techniques to build resilience and change readiness.
3. Engage your team to take ownership of change
Identify the pivotal moments your organization faces in leading change and align on what change-ready behaviors look like in each moment. Cultivating a team of change-ready leaders will mean engaging team members in what change means. Share the targets and outcomes of strategic direction meetings, allowing time to hear all perspectives and test different ideas on the front line. Invite people to tackle those challenges themselves in their roles so that they feel ownership over the pivotal moments where change occurs in a day.
To support this team-level ownership, shift behavior in the smaller moments that matter most. Back this up by creating the social networks and support structures that enable a wholescale mindset, giving each level and department a chance to own its change readiness.
Change is constant, and it is a team sport. No one leader or manager can author change by themselves and expect it to serve the whole organization and a whole world of customers. Sustainable, successful change comes from a collective of people who feel positively about change: a team of change-ready leaders.
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There’s a specific kind of strategy meeting getting scheduled right now, in nice hotels with bad coffee: the AI reset off-site.
And for good reason. In a 2026 WRITER survey, 48% of leaders described their AI rollout as, in their own words, a "massive disappointment." That's nearly half the room.
What that number really measures is the distance between what these tools can do and what people are doing with them. In our experience, that distance is almost entirely human.
Which is why the off-site is the right instinct. Making the most of that time is the harder part.
What separates an AI reset that actually changes the game from an expensive two-day conversation? In our experience, it comes down to avoiding four common design mistakes.
Mistake 1
Blaming the bots
The gap between AI investment and real adoption is almost always about people, not technology. And when adoption stalls, we usually find it's one of four things.
- They don't think it will help them
- Nobody around them is using it
- They don't feel capable
- Or they don't have real access to the tools they were promised
Four different problems, and four completely different fixes.
That's why diagnosis comes first. If you don't know which barrier you're dealing with, every intervention becomes an educated guess. And you cannot tell which one you have by staring at a dashboard. A belief gap and a skill gap look identical in a status report and need opposite interventions. Show up guessing, and you'll spend real money teaching people to use a tool they simply don't trust yet. Congratulations - you've just catered the wrong conversation.
Mistake 2
Letting leaders off the hook
One of the biggest predictors of whether change sticks is also one of the most overlooked: leadership.
If your executives show up as observers, nodding along and quietly answering email under the table, your people clock it in about four minutes.
That doesn't mean your CEO has to emcee the thing. It means they use the tools in front of everyone, participate in the conversation, and make it clear this isn't someone else's initiative.
Recently we’ve been working with a Fortune 200 global professional services firm who’s top 120 leaders were at very different points with AI. Some were redesigning entire processes. Others were using it to summarize emails, or not at all. Rather than focus on the technology, the four-hour session focused on what leaders could do with AI, applying it to a live strategic challenge and ending with a personal commitment to lead differently. The response was strong enough that the organization is now cascading the experience globally.
The lesson is simple: when leaders experience AI as a strategic capability, they're better equipped to model the behavior that makes adoption stick. Nothing you build during those two days survives without that entire chain of leadership doing its part.
Mistake 3
Chasing the wrong outcome
Without a behavioral baseline, you have no way to prove anything actually moved. No baseline, no ROI. You're just hoping the energy in the room was good, which is a wonderful feeling and a terrible metric to bring to your CFO.
But the baseline isn't just about proving the off-site worked. It's about understanding where you're starting in the first place. And you'll want that clarity, because the quiet resistance is real. In that same 2026 research, nearly a third of employees admitted to actively working around their company's AI strategy. If you don't win their belief in the room, some of them will keep politely ignoring the whole thing from their desks. You can't measure your way out of that. You have to earn your way out of it.
Which brings us to the biggest reframe of all.
Mistake 4
Leaving follow-through to chance
We've been working with a Fortune 100 medical device company on their AI strategy for three years. It started with their leadership team, a three-hour session built around what those leaders would do differently, and it landed. What became clear afterward was that the same experience needed to happen everywhere else. So, it expanded: 90-minute activations for 15,000 people, and this year intact teams redesigning their own workflows.
Three years in, that first session is the smallest part of the story.
Your event is where momentum gets created. What happens at 30, 60, and 90 days is where results get made.
If you're planning one of these and want to change what happens on Monday, not just how everyone feels on Friday, that the work we do.
We'd be glad to help you design it.
Candidates now arrive at interviews pre-coached by AI, with their resumes optimized to pass every checkpoint. Polish has stopped being a signal. The traditional hiring process was built to read exactly the cues that AI is now best at producing, and the signals hiring managers once relied on have weakened as a result. And for roles where the wrong hire carries real business consequences, losing the ability to tell who will actually perform is not a minor inconvenience. It is a material risk, and it exposes the business to unnecessary turnover, reduced performance, and heavier investment for talent growth and development.
So how do you observe the behaviors that matter most, before someone is in the role?
Not by asking better questions, but rather by putting candidates in situations designed to elicit that behavior.
The limits of predicting from paper
Credentials tell you what someone has done. Structured interviews tell you what someone says they would do. Neither lets you observe what they actually do in the moments that count.
This distinction matters most in client-facing, relationship-driven roles, where the performance gap between a strong hire and a weak one plays out in real business outcomes (revenue, retention, client growth). Organizations that hire at scale in these roles carry that gap across hundreds of decisions at a time.
The better approach is to watch candidates do the work before you hire them. Put them in simulated, role-relevant scenarios, and pair the simulation with a second, different kind of measure so no single method carries the whole decision. That combination is what lets you evaluate real performance before anyone is in the role. Organization-specific simulations provide a clear read on who is ready and capable of performing on day one. In a world of AI-supported candidate signals, the use of simulations makes the process harder to prep for. It is harder to fake. And, when designed well, it is substantially more predictive than other hiring methods.
What counts as evidence
Claims about predictive power are easy to make. Evidence for them is rarer than you would expect.
A predictive validity study, the kind that links pre-hire assessment scores to how someone actually performs once hired, is some of the hardest evidence to produce and the rarest to see. Many assessments are validated against proxies: another test, or a theoretical model of the role, rather than real results on the job. Connecting scores to concrete business outcomes and doing the statistical work to show the link holds, takes years of shared data and a level of commitment from both the assessment provider and the client that most partnerships never reach. That is precisely why it is worth asking for. A provider who can show how assessment scores track to training completion, retention, and first-year output is offering something categorically different from one who can only show a correlation with another test.
Why simulation holds up where other methods do not
When a candidate sits across from a trained assessor (someone playing the client or prospect on the other side of the conversation) and has to work through a real situation, they cannot rely on a rehearsed answer. The scenario is specific. The stakes feel real. What you see is close to what you would get on the job.
That is the value of simulation-based assessment: it does not test what candidates know about the role.
It shows how they use what they know when a real person is on the other side of the conversation, before the stakes are real.
For roles that carry significant business responsibility, this distinction is the whole game. The cost of the wrong hire in a high-stakes client-facing role is not just a missed quota for a quarter - It plays out in relationships that do not develop, clients who leave, and productivity losses that compound over time. Getting those hiring decisions right, at scale, with consistency, requires methods that are built for predictive accuracy, not just candidate experience or hiring speed.
What this means for how organizations think about hiring
Most organizations are still optimizing the wrong things in their hiring process. They invest heavily in employer branding, application flow, and interview structure, all of which matter, but less in the core question: does our hiring process actually predict who will succeed in this role?
AI has sharpened the stakes here. If every candidate can present as polished and prepared, screening based on presentation becomes less useful. What holds up is direct observation of the behaviors that the job requires.
A few principles worth building from:
- Measure what the job requires, not what is easy to measure. Cognitive tests and personality questionnaires have their place, but they do not look much like the job. The closer the assessment is to the actual work, the better it predicts performance in it.
- Ask what your assessment predicts. Training completion? Retention? First-year output? Most organizations cannot answer that question today, largely because providers have rarely been asked to prove it. It is a fair thing to ask for.
- Take the human element seriously. In a simulation, a candidate is having a real conversation, responding in real time, navigating a situation that requires judgment. Even with the help of AI, that is hard to game. And it remains one of the strongest predictors of on-the-job performance available.
The data exists to make hiring decisions more accurate, fairer, and more directly tied to business outcomes. For organizations operating in high-stakes roles at scale, there is too much on the line to rely on methods that cannot hold up to that standard.
You may be interested in BTS’ thought leadership in the five talent shifts AI is forcing now.
La IA ya forma parte del día a día de las ventas. Hoy cualquier asesor puede llegar a una reunión con datos, tendencias e insights generados en segundos. Sin embargo, disponer de más información no garantiza conversaciones de mayor valor.
A través de una experiencia real con un consultor comercial, este artículo explica por qué la inteligencia artificial funciona como un GPS: ayuda a interpretar el entorno, pero no conduce la conversación ni entiende las prioridades del cliente.
En este artículo descubrirás:
- Por qué el acceso a la información ya no supone una ventaja competitiva.
- La importancia del business acumen para interpretar los datos con criterio.
- Cómo hablar el lenguaje del cliente genera credibilidad y diferenciación.
- Por qué las relaciones B2B evolucionan hacia relaciones P2P basadas en la confianza.
- Qué capacidades consultivas seguirán siendo exclusivamente humanas incluso en la era de la IA.
La tecnología seguirá evolucionando, pero la ventaja competitiva estará en quienes sean capaces de combinar inteligencia artificial con conversaciones centradas en el cliente, pensamiento estratégico y relaciones de largo plazo.