El mayor error en los programas de ventas: entrenar capacidades sin cambiar la cultura (MX)

You already know strategy matters. You’ve likely spent months—maybe years—crafting one that’s bold, clear, and built to win. But when progress stalls, the issue often isn’t the strategy itself—it’s whether the organization can move with it.

That’s where culture comes in.

The culture that once fueled your success may no longer be fit for what’s next. And even if things look fine on the surface, early signals might be telling a different story—signs your culture isn’t accelerating your strategy the way it used to.

Culture is what turns intent into impact. It’s not the values on the wall or the message at a town hall—it’s the unwritten rules that shape how people decide, collaborate, and lead. It’s how things really get done.

When those patterns align with your direction, momentum builds. When they don’t, even the best strategy struggles to stick.

→ Let’s chat about leveraging culture to manage change fatigue at your organization.

You see it in:

• The stories people tell about what gets rewarded
• The choices teams make under pressure
• The habits that show up when no one’s watching

And in the everyday:

• How decisions get made
• How people collaborate
• How accountability is managed
• How change is received

If your strategy has shifted but progress still feels stuck—or strained—it’s worth asking:

Is your culture still serving your business, or is it starting to slow you down?

A case in point

Two years ago, BTS partnered with a global organization that had just launched an ambitious growth strategy. Excitement was high—but results didn’t follow.

Leaders were frustrated by a lack of speed and ownership. Employees said they didn’t feel empowered. The word that kept surfacing? Bureaucracy.

That term became a catch-all for inefficiency, but no one could quite define it. So we helped them unpack what was really going on:

• Unclear decision rights
• Too many committees for too many decisions
• Outdated knowledge-sharing systems
• Manual processes slowing everything down

We visualized the findings in a “bureaucracy tree” to connect the dots. That clarity helped leaders prioritize where to focus first. And that’s when momentum returned.

The power of pivotal moments

The breakthrough didn’t start with a bold new initiative. It started with a shift in focus—from broad ideas to specific moments.

We worked with leaders to identify the everyday situations where culture is shaped and signaled: subtle, unscripted moments that reflect what’s truly expected and rewarded.

• A decision point with no obvious answer: do we act, or wait for perfection?
• A team member hesitates: do we jump in to solve, or create space for them to step up?

When leaders could name these moments, they could begin to shape them—making small, deliberate choices that sent a different signal. These weren’t one-time actions. They were repeatable patterns, practiced consistently.

And they’re just as available to you. Start by asking: where are the moments I tend to default to safety, silence, or control? And how could I begin to respond differently to shift the story?

Breaking old habits and building new ones

With these pivotal moments in mind, the leadership team reflected on their own patterns. How were they showing up? What were they reinforcing?

They focused on three shifts:

1. Stop reinforcing slow, complex decision-making
2. Start modeling clarity, ownership, and speed
3. Shift systems that quietly rewarded caution over empowerment

These weren’t abstract goals. They were grounded in real behaviors:

• How many people are involved in a decision?
• Are roles and responsibilities clear?
• Are our tools helping—or slowing us down?

By focusing on what people could see, track, and practice, change became tangible. It gave people something to act on—and believe in.

Scaling change through experimentation

The organization didn’t treat culture change as a campaign. They treated it as a learning process.

Top leaders ran small, coordinated experiments—turning abstract values into visible behaviors.

In one experiment, leaders committed to returning authority to managers who had “delegated decisions up” to them. In another, they redefined decision rights to cut through ambiguity and accelerate action.

These weren’t pilots. They were deliberate repetitions of new behaviors, designed to build muscle memory across the organization.

The results:

• Decisions moved faster
• Long-stalled initiatives were shut down
• A new product feature launched in half the usual time
• Employees reported feeling more empowered and accountable

If you’re wondering what this could look like for your organization, start here: What’s one behavior you could test out—or let go of—for a week? What’s one decision you could delegate? One moment you could coach instead of solve?

That’s how momentum builds—quietly, visibly, and fast.

Four common patterns to surface

Now that you’ve seen how small cultural habits shape (or stall) strategy, the next step is to spot where those habits are hiding in your organization. Here are four patterns we often see when momentum is missing—along with what they may be signaling.

   Element of Culture What It Shapes What It Might Look Like Today Why It Might Be Time to Rethink     Decision making Speed, ownership, and accountability Teams slow down not because the path is unclear, but because they’re unsure who’s empowered to choose it. Decisions stall in ambiguity—or escalate unnecessarily. Legacy approval structures often reflect yesterday’s risks. Today’s pace requires alignment over consensus, and trust in judgment at every level.   Meeting norms Focus, decision velocity, and participation Meetings are packed with updates, but few decisions get made. Real conversations happen in sidebars—after the meeting ends. When meetings become status dumps, they signal that the real work happens elsewhere. Reclaim meetings for collaboration and visible decisions to shift how teams show up—and move with more speed.   Leadership modeling Credibility and cultural integrity Leaders talk about agility or empowerment—but in high-stakes moments, default to control, caution, or top-down decisions. Culture isn’t shaped by slides—it’s shaped by what leaders do when it counts. If words and actions diverge, people follow the behavior. Find misalignments and try a new tack.   Feedback Learning, adaptability, and momentum Leaders see something misaligned—but let it go to avoid discomfort or protect relationships. Feedback is delayed, diluted, or disappears. Without feedback, small misalignments calcify. Cultures that learn fast don’t wait—they normalize feedback as a lever for shared growth.    

Which one shows up most in your team? That’s your next pivotal moment.

Shining a flashlight on your invisible “monsters”

When it comes to culture, the hardest part is often what you can’t see—or don’t know how to name.

Think back to childhood. Most of us, at some point, were convinced there was a monster in the closet or under the bed. In the dark, a pile of clothes becomes something menacing. A shadow turns into something to fear.

But then the light comes on. You see clearly. The fear fades. What once felt huge and scary becomes harmless—even a little silly.

That’s what culture can feel like inside an organization. Bureaucracy. Resistance. Complexity. These forces seem big and hard to define. They slow us down and sap momentum. But more often than not, they’re just old habits and assumptions lurking in the dark.

When leaders learn to spot the subtle, pivotal moments that shape behavior, they turn the light on. What felt intangible becomes specific. What felt impossible becomes actionable.

You don’t need a total reinvention. You need clarity—a way to see what’s really happening and where to shift, simply and deliberately.

When to bring in reinforcement

Not every culture challenge needs an outside partner. But some moments call for reinforcement—especially when change needs to stick at scale.

At BTS, we help organizations turn invisible cultural friction into visible forward motion. Whether you’re shaping a new strategy, integrating after a merger, or building a leadership culture that unlocks ownership—we help leaders shift from insight to impact.

Here are a few signs it might be time to partner

• You’ve named the strategy—but execution keeps stalling.
• You see the issues—but can’t align on how to shift behaviors.
• Leaders are bought in intellectually, but behavior hasn’t changed.
• Teams say the right things—but culture feels stuck in old habits.

If you’re facing one of these moments, it’s not a failure—it’s a signal. The good news? You don’t have to tackle it alone.

Let’s talk about what it would take to move from insight to sustained culture change.

The landscape of leadership is evolving as newer generations challenge traditional hierarchies. Outdated practices, focused on a top-down power dynamic, have fostered an “us vs. them” mentality, stifling collaboration, slowing innovation, and hindering sustained growth.In response, Future Relevant Organizations are adopting "next practices" that recognize and celebrate contributions, influence, and impact of contributions at all levels of the organization. Central to this shift is the movement from “leading others” to “leading with others,” recognizing that leadership isn’t confined to those in senior positions.“Leading with others” encourages a more inclusive, collaborative approach by:

• Encouraging employees to lead and influence across boundaries.
• Inspiring shared purpose and accountability toward collective goals.
• Prioritizing well-being, fostering psychological safety, and enabling open idea-sharing.
• Viewing vulnerability as a strength, recognizing that no one has all the answers.
• Maintaining focus and thoughtful engagement amidst uncertainty.

A biopharma company with a historically top-down leadership structure offers a clear example of the transformative power of this shift. While the company had enjoyed impressive growth, it faced competitive and pricing pressures from disruptive innovation, regulatory challenges, and supply chain vulnerabilities, all of which called for a fresh approach to leadership. Innovation and expansion were crucial to sustaining success.Recognizing the need for change, the company embraced the idea that leadership and influence aren’t confined to those at the top. Here’s how this new approach reshaped their organization:

• Empowering all levels: Leadership became less about titles and more about fostering a culture where every employee felt valued and capable of contributing. Through well-crafted experiences, 5,000 employees enhanced their self-awareness, challenged established norms, and adopted a long-term perspective aimed at collective growth.
• Redefining leadership: Leadership shifted from micromanagement to empowering others to make meaningful contributions. Employees were given greater agency and ownership, leading to increased adaptability in a dynamic market.
• Building trust through vulnerability: The organization encouraged vulnerability, quickly building trust across teams in an evolving, loosely connected environment. This strengthened team dynamics and established a supportive community ready to face new challenges.

Next practices: Shared leadership responsibility

The shift toward “leading with others” is not simply a change in leadership style; it is a strategic imperative. By embracing diverse perspectives and treating leadership as a collective responsibility, organizations gain more valuable insights that drive better decision-making and innovation. Companies that adopt this approach are better prepared to adapt to change, seize new opportunities, and build a culture where everyone is engaged in shaping the future.

“Leading with”: A more inclusive path forward

Adopting a “leading with others” mindset requires more than just structural changes—it calls for a fundamental shift in how leadership is understood at all levels. Leaders must actively create environments where contributions from all employees are expected, not optional. This inclusive leadership approach fosters a deeper sense of ownership and accountability, empowering employees to align their actions with the organization’s long-term goals.As the business landscape continues to evolve, organizations that embrace this collective approach to leadership will be better positioned not only to navigate uncertainty but also to thrive in the future ensuring future relevance.

How many times have you and your colleagues on the leadership team grappled with a culture problem?

The answer may not be obvious at first. Here are a few ways we see companies taking on culture change, often under the guise of a different name:

• Adopting and socializing a new customer-first go-to-market strateg
• Shifting from working heads-down in silos to formal, cross-functional collaboration
• Turning the tide to incite more inclusive behaviors

When starting to make these shifts, the go-to answer is often: “Let’s talk to HR – maybe we can get some training so people will start doing things differently?” And HR responds with, “Great – let’s go!”

Then, months go by, and the needle hasn’t moved. This leaves you and your organization right back where you started. Despite the plethora of online courses, internal seminars, and team sessions available, you are frustrated by the lack of change. What gives?

Training individuals is not the answer. While training is critical for people to learn new things, it is not a comprehensive culture fix. Training alone is insufficient to change culture across the organization.

Research conducted by Kim Cameron and Robert Quinn from University of Michigan’s Ross Business School, and also by Edgar Schein from MIT’s Sloan School of Management has shown that effective culture change happens in groups because group norms, organizational mindsets, and team behaviors overpower individual desires. Just as strategic initiatives are born from a shared organizational vision, culture also cascades from collectively held mindsets, behaviors, and values.

When companies focus on individual development efforts to reinforce the culture they aspire to embody, they miss their biggest point of leverage. Changing your culture requires mobilizing both individuals and the collective behind a shared sense of urgency and responsibility.

Moving beyond the HR talent lens to deliver a culture shift

When making organizational changes, of course HR needs to be involved. However, to successfully enable culture shift, you need to go beyond training and address several other elements, such as: process engineering, information access, governance, and decision making, which can all be affected by culture change. If you are not thinking about these (and more), you are training your way to culture change.

To mobilize your organization and bring your culture shift to life, consider these three elements:

1. Cultural assessment and definition—creating the foundation for change

The first step in shifting your organizational culture is to ground yourself in the current one. If you don’t have a deep understanding of your existing culture, you may miss opportunities to identify and address major cultural roadblocks that will hinder your future state. You also might overlook key cultural strengths that you could leverage to propel the organization forward. (To learn more about cultural assessment, check out this white paper.)Assessing your current culture at the following four levels will enable you to uncover the nuances, behaviors, systems, and mindsets necessary to get you where you need to go:

• Individual – relationship to self and others
• Team – working in groups
• Organization – what drives action
• Business environment/context – view of change

When organizations lean on training as a band-aid, they miss the opportunity to toggle other systemic elements that profoundly impact culture, such as compensation alignment, process engineering, access to information, and feedback, among others.Here are a few game-changing questions that leaders can ask to define and build toward a strong culture:

• How can we build momentum towards the desired business results?
• What processes and systems are enabling or defeating the change?
• Are the current performance management systems getting us where we need to go?
• Am I assessing my team on the right capabilities?

2. Cultural scaling—creating alignment, processes, and systems

While shaping culture at the individual level is easier, people seldom produce their best work in siloes. To change culture, your organization must change the way people work in teams. This element, which can be done in concert with individual training, is about aligning team processes and embedding them in the organization.Changes in team effectiveness require supporting systems. To ensure your systems are aligned to your organization’s cultural vision, ask these two critical questions:

• Do the current talent lifecycle activities, organizational capabilities, and work processes across your business support the changes you hope to see?
• Which legacy systems and processes could derail the culture change you seek?

When leveraged correctly, processes and systems should create boundaries and provide guardrails that encourage culturally constructive behaviors, mindsets, and problem-solving methods.

3. Individual training—activating individuals to support the shift

The third element of shifting the culture is where training comes into play: activating individuals to do things differently. When asking HR to take the lead on training, consider these two aspects to ensure you are readying the whole organization for the culture shift you seek:

• Change-ready leadership to help address individual readiness. In addition to broader efforts to assess, define, and scale organizational systems and capabilities that enable alignment and foster culture, it is critical to evaluate and enable individual readiness. Shifting the culture is a burden shared by not only business leaders and CHROs, but also by those leading talent management and leadership development who are responsible for preparing individual leaders.
• Identify behavior shifts and lead accordingly. Change-ready leaders prioritize enduring behavioral shifts over “check-the-box” or surface level ones. When it comes to culture, quick fixes are often the enemy. Change-ready leaders also hold individuals accountable through feedback and by example. Leaders who model the behaviors they wish from their teams build trust and gain buy-in when it matters most. This might include challenging actions and decisions such as encouraging those who prefer not to shift their current behaviors to move on from the organization.

Organizational culture is a living, breathing, intangible thing. Just like a brand, we know it and feel it daily, despite its intangibility. Business leaders, you have the power to ignite the change you seek by leveraging assessment and definition, scaling, and individual training. Over time, these efforts will produce new behaviors and ways of working, ultimately creating the new organizational culture and a long-lasting legacy for your organization.

Sources

1. Cameron, Kim S., and Robert E. Quinn (2011). Diagnosing and Changing Organizational Culture: Based on the Competing Values Framework. John Wiley & Sons, Hoboken.
2. Schein, E.H. (2010) Organizational Culture and Leadership. Vol. 2, John Wiley & Sons, Hoboken.

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.

1. They don't think it will help them
2. Nobody around them is using it
3. They don't feel capable
4. 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.