Now is not the time to shortcut your hiring process
.avif)
You may not think that organizations are hiring or adding headcount amid the COVID-19 pandemic, but some are—and they’re doing so in droves. At a time when much of the US is under shelter-in-place orders, organizations that keep us safe, fed, and supplied have seen surges in customer demand and, in turn, the need to hire. To keep up with this unprecedented demand, these organizations find themselves trying to screen and onboard people in as little as 24 hours with minimal or no face-to-face interaction. And guess what: there are lots and lots of candidates vying for these jobs.
Selecting and onboarding large influxes of candidates can drain what are already very limited resources, especially when processes are manual and are not virtual. At times like the present organizations simply want to get dependable people in the door who are willing and able to perform any number of tasks assigned to them from one day to the next.So, why not simply truncate the hiring process by eliminating pre-employment screening to get people onboard faster? Organizations need to add headcount, and there are plenty of candidates to fill these positions. If an employee does not work out, an organization can simply move on to the next candidate. Where’s the problem? Eliminating pre-employment screening is not the answer; instead, it creates a whole new set of problems.The wrong selection (i.e., hiring) decision can lead to massive consequences on overall organizational success. Consider the cost of a poor hire for your team or organization. What are the time and training consequences? While each case depends on the role, the cost of a bad hire can be upwards of three times the individual’s salary. Regardless of the specific dollar amount and human resource costs, negative outcomes result directly from poor selection decisions, most of which can be prevented with proper pre-employment screening and assessments.
Sub-par performance and results. When individuals are placed into jobs that require knowledge and skills that they lack, their performance will suffer. Even if the organization takes the time—which costs money—to train and onboard these individuals, how can the organization be certain that the training will “stick,” or that the individuals have the underlying capacity to learn the requisite knowledge and skills? Obviously, an organization is not going to place someone into a highly technical role if the individual does not have the proper background and training, but the learning curve—again, time and money—for any job will be shorter for some people than it will be for others. Properly screening candidates for the requisite knowledge, skill, abilities, motivation, drive, dependability, etc. required to be successful can reduce the risk of sub-par performance in spades.
Cancer to the team. We all know what it’s like to work with someone who is unable or unwilling to carry his/her weight on the team or has a poor attitude. These individuals can single-handedly lower the morale of the entire team at lightning speed. Screening candidates’ skills, abilities, attitudes, and behavioral tendencies can drastically reduce the likelihood of hiring caustic employees.
Liability to the organization. The liability of a bad hire on an organization can take on many forms. We’ve already talked about the performance implications of hiring people who lack important job skills and the impact of hiring the wrong people on team morale. These certainly present liabilities to the organization. But what about the risk of hiring reckless employees to work in environments where following safety protocols is a must? Or putting people who lack customer service skills in front of customers? Or asking people who have poor attention to detail to work in a warehouse picking parts or filling orders? Each of these situations has the potential to result in negative outcomes for the organization, including reputational risk and even safety risk. All of these liabilities can be reduced by screening candidates for the requisite knowledge, skill, and/or abilities required to perform the job.Regardless of whether an organization is filling 5 or 500 openings, or whether the organization has 10 or 10,000 candidates, proper pre-employment screening and assessment is a must. It is well worth the extra 20-25 minutes that it takes candidates to complete most pre-employment assessments. Selecting the wrong person for the job benefits no one and is a disservice to everyone involved. Instead, now more than ever, we recommend putting automated systems in place to screen candidates and help refine candidate pools to those most likely to be successful—ultimately adding the greatest value to your team and organization.
Related content
You can't predict the future. You can be disciplined about how you face it.
That's where Future Storming comes in. Future Storming is a process for looking at the trends and signals already visible in the market, understanding how those forces connect, and thinking more clearly about where they may lead.
Recently, we've been applying that lens to talent strategy, running Future Storming sessions with talent leaders across industries to understand which forces are already reshaping how organizations find, develop, and retain the people they need. When you look across those conversations, one thing is hard to miss: AI runs through almost all of the most significant trends, and not as a future scenario. It's already reworking the talent systems most organizations have leaned on for years, often quietly, and often faster than leadership teams have had time to respond.
From these sessions, five high-likelihood, high-impact shifts have emerged as the ones every talent leader needs to be watching right now. What follows is what each of them may mean for your organization.
1. The frameworks most organizations use to define great leadership were built for a different era
Skills and competency models describe work that no longer exists in many roles or that AI now performs alongside, or instead of, humans. The gap between what organizations say they're selecting and developing for, and what the work actually requires, is widening quietly.
This creates a real problem. Organizations that don't redefine what great looks like now will be developing the wrong people for the wrong future optimizing for capabilities that are becoming less predictive while under-investing in the ones that matter most.
- Rebuild leadership profiles from a future-back perspective, starting with where the business is heading, not where it has been.
- Focus on the distinctly human capabilities AI cannot replicate judgment in ambiguous conditions, relational intelligence, ethical reasoning, the ability to set direction when there is no precedent.
- Increase the use of behavioral observation in selection and development. It's the only methodology that shows how someone actually thinks and decides under real pressure.
The signal worth chasing isn't on a resume, it's in the room in how someone handles a real situation, under genuine pressure. It's the only place where someone can't prepare their way out of being themselves.
2. Human differentiators are the last mile AI cannot close
Judgment. Empathy. Creativity. The ability to navigate genuine ambiguity. These are increasingly what separates human contribution from AI output and they're precisely the things most talent systems have always found hardest to measure.
For a long time, organizations could afford to treat these as qualities that would emerge naturally with experience. That's no longer an option. The human differentiators are becoming the job. And most organizations still aren't measuring them well.
The methods exist behavioral assessment, simulation, structured observation. And AI is now making them accessible at scale in ways that simply weren't possible before. The question isn't whether to use them. It's how to deploy them thoughtfully, with the governance and transparency that -stakes talent decisions require.
- AI-powered behavioral observation that surfaces how people actually perform in the flow of work, (i.e. judgement, decision-making, adaptability) not self-report
- Assessment that evaluated how people work with AI, not just without it because that's increasingly what the role looks like
- Simulation-based approaches that reveal thinking in action - the kind of evidence no credential or output can provide
3. The talent pipeline is broken
AI is displacing the early-career work that has traditionally served as the on-ramp into organizational life. Those tasks once gave emerging employees something more valuable than work product. They gave them foundational experiences, relationships, and judgment. The kind of judgment that eventually grows into leadership.
The impact won't show up immediately. That's exactly what makes it worth paying attention to now. Within three to six years, benches will thin and succession pipelines will require far more intentional investment. Organizations will find themselves asking why their internal talent isn't developing the way it used to.
The organizations that get ahead of this have a real opportunity to build something more deliberate, more equitable, and better suited to the capabilities the future actually requires.
- Invest in real, simulation-based experiences, putting emerging leaders into the decisions and pressures that build genuine organizational judgment, not just task exposure.
- Redefine what early-career development is, building toward the capabilities the future requires, not the ones the old job description described.
- Build feedback into the flow of work. AI behavioral observation and practice AI role plays make continuous development possible at scale. The experience that used to happen informally has to be designed now.
4. People need to re-skill faster than any development model was built to support
People need to reskill faster than any development model was built to support. Most organizational development infrastructure was built around a longer, more stable arc of skill acquisition. AI is compressing that arc significantly.
The implication isn't just that training needs to be faster. It's that the whole architecture of how organizations identify, develop, and deploy talent needs to be built for continuous recalibration not periodic refresh.
- Prioritize adaptability and learning agility over static expertise. The ability to acquire new capabilities quickly matters more than the specific capabilities someone holds today.
- Treat reskilling as a continuous organizational process, not an episodic program.
5. AI is absorbing leadership work and culture is losing it's anchor
This is the shift that's easiest to underestimate, and hardest to recover from once it arrives.
Culture is what people see leaders do. The behaviors leaders model how they make decisions, how they show up in hard moments, what they choose to reward and what they let go are how organizational culture gets transmitted. It doesn't travel through stated values. It travels through visible human behavior.
AI is absorbing the work that used to make leaders visible as humans making choices. Performance reviews written by AI. Communications drafted by AI. Coaching conversations mediated by AI. When the distinctly human work disappears, so does the signal. People don't know what to watch anymore. And culture which depends on that watching starts to fray.
The organizations that navigate this well won't be the ones that use less AI, they'll be the ones most intentional about which leadership behaviors remain visibly human, and why.
The behaviors that held culture together need to be rebuilt around what humans uniquely contribute now and that starts with getting the success profile right. That's exactly what the Future Ready Profile is built for.
Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.
- Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.
- Reinforce organizational purpose and human-centered culture as anchors.
- Treat culture as something you design, not something you inherit.
What this means
The organizations that navigate this well won't be the ones that adopted AI fastest, they'll be the ones that invested just as deliberately in the human systems around it.
These five shifts aren't warnings. They're design problems, and design problems have answers. The talent systems that come out of this moment can be more intentional, more equitable, and more fit for purpose than anything we've built before.
At BTS, this is the work we're doing every day. If you'd like to think through what any of it means for your organization, we’d love to talk.
The thinking in this article was shapped by Future Storming sessions, including a SIOP 2026 workshop, and by ongoing conversations with talent leaders navigating these shifts in real time.
We have more tools, technologies, and data than ever, yet talent challenges are only growing more complex.
AI is reshaping how work gets done, shifting roles and the skills required. Remote and hybrid models continue to redefine how teams collaborate, lead, and build culture. Economic pressure is forcing organizations to do more with less, making talent efficiency a business necessity. And employee expectations are rising people want more purpose, growth, and flexibility than ever before.
These shifts aren’t just complicating the landscape; they’re rewriting the rules. For years, talent operated one step removed, supporting strategy, but not shaping it. That worked when business was linear and predictable. Strategy was set at the top, cascaded down, and talent filled the gaps. But that world is gone. Today, strategy shifts in real time. You can’t launch a new go-to-market plan, integrate an acquisition, or drive cultural change without people who are aligned, capable, and ready to deliver. And that readiness can’t be an afterthought, it has to be future-back.
That’s why a new kind of talent leadership is emerging, one that moves beyond standalone programs and focuses instead on building integrated systems. It’s a shift from reacting to problems to anticipating what the business will need next; from patching broken processes to designing for performance from the start. In this model, talent strategy is no longer fragmented. It becomes a connected ecosystem where hiring, development, performance, and culture work in sync, aligned to business priorities and built to deliver results. In this environment, integrated talent strategy isn’t just good HR, it’s how business gets done.
The AI revolution and its real-world talent application
AI is revolutionizing how organizations attract, develop, and retain talent. From automating performance reviews and job descriptions to enabling personalized career path development, the promise of AI is clear. However, many warn of a trough of disillusionment. Reality often falls short due to insufficient data, immature infrastructure, and misaligned objectives between business leaders, talent leaders and across functions. Without a clear problem definition, technology risks accelerating misalignment instead of solving meaningful challenges.
Organizations must first define the outcomes they seek whether efficiency, insight, engagement, or growth before deploying technology solutions. As AI adoption expands, success will depend on whether organizations match the right tools to the right problems. Having the discipline to make this evaluation will be game-changing when it comes to delivering impact.
Skills-based organizations: substance or semantics?
The rise of skills-based models reflects both a desire for innovation and a rebranding of long-standing HR practices. While the framing may have shifted, the underlying work—job analysis, development planning, and performance alignment remains constant. Many of today’s talent challenges aren’t new; they’re longstanding issues being reframed under new labels.
To move the conversation forward, leaders must avoid fixating on language and instead focus on what truly drives performance when it comes to talent models: clear role expectations, relevant development paths, and contextualized application of skills. Prioritizing the right core activities will deliver the talent performance you need, regardless of what it’s called.
Manager capability as the linchpin
The most innovative talent strategies still rely on a critical success factor: the people manager. Whether it’s performance enablement, development conversations, or cultural reinforcement, execution hinges on manager capability. The success of most talent initiatives ultimately depends on whether managers are equipped to implement them effectively. Manager enablement is the operational layer that determines whether talent strategies deliver impact or stall. Managers also shape the day-to-day experiences that influence engagement, growth, and retention.
Investing in scalable, practical, and embedded manager development is essential to unlock the potential of any talent system. Currently this remains a challenge to plan and execute in many companies, while some at the leading edge have leaned into this and are making progress. Looking forward, organizations that prioritize preparing their managers for delivering what’s next will yield more rapid results for the business.
Integrated talent management: moving from silos to systems
Gone are the days when talent functions could operate in isolation. Today’s organizations require an integrated approach that connects succession planning, workforce strategy, learning, performance, and employee experience. For business leaders, the structure of HR functions is secondary to receiving actionable guidance that accelerates hiring and performance outcomes.Achieving true integration means moving beyond siloed initiatives and building a connected system where talent strategies reinforce one another across data, design, and delivery. It’s not about where each piece sits, but how well they work together to deliver consistent, business-relevant outcomes.
For example, when identifying successors for executive roles, the best organizations take a systemic approach. They leverage business leader input to nominate high-potentials based on a consistent set of standards. They add rigorous assessment of people and business capability (often using external support) to reduce bias, confirm potential for more complex roles, and identify gaps. They then employ tailored development, run in partnership among the business, talent, and learning with external support, to address identified gaps. This multi-faceted approach incorporates perspectives from the business and HR while leveraging best practices from inside and outside the company, and ties outcomes to business imperatives.
Bringing “Integrated Talent” to life in your organization
Integrated talent refers to the intentional alignment and coordination of all talent-related functions such as hiring, learning, succession, performance, rewards, and workforce planning under a unified strategy that directly supports business goals. Instead of fragmented programs running in parallel, integrated talent strategies are designed and executed as a cohesive system, with shared data, consistent language, and a focus on outcomes that matter to the organization. It’s about designing for the whole employee lifecycle, not just optimizing parts of it in isolation.
The most effective partnerships, including those with consultants and external experts, often blur internal and external boundaries, delivering seamless support to business leaders.
Key recommendations for talent leaders to move to an integrated talent approach
So what does it take to lead effectively in this environment? Several key priorities are emerging:
- Understand the evolving business context: Start with a clear understanding of the organizational environment, where the business strategy is going, and the role of culture in supporting growth, before proposing solutions.
- Customize with purpose: Balance tailored approaches with scalable standards to drive consistency.
- Build your internal base: Credibility is built by understanding internal politics, brand sensitivities, and cultural norms.
- Elevate the employee experience: Amid ongoing disruption, meaning, purpose, and psychological safety are essential stabilizers. Make this a priority, and the business will follow.
- Build meta-skills: Leadership development must focus on adaptability, resilience, empathy, and systems thinking; the capacities needed to lead through complexity.
- Develop an enterprise mindset: Today’s talent leaders must be business-centric, fluent in financial and strategic conversations, and capable of integrating disparate talent functions to construct a coherent whole. They must translate data into compelling narratives and foster strong partnerships both within HR and across the enterprise.
Most importantly, talent leaders must see themselves not just as HR professionals, but as organizational architects, designing the systems, cultures, mindsets and experiences that enable growth.
Conclusion: Talent strategy integration isn’t a trend. It’s your edge.
The world of work is not simply changing. It is being fundamentally redefined. Integrated talent strategy is no longer a future aspiration; it is a current imperative. To deliver on this mandate, talent leaders must: align their strategies tightly with business priorities; build managerial capability at scale; and use technology with precision and discipline. They must create strong, trusted partnerships across internal and external boundaries, and focus on clarity over complexity. The siloed HR model has reached its limits. The future belongs to those who embrace integrated talent strategy as a core business driver.
In a world where transformation often feels complex and distant, real progress is often sparked at the community level, through leaders who create change from within.
In Senegal, a partnership between BTS Spark and Tostan, a nonprofit dedicated to community-led development across Africa, is bringing this idea to life. It’s a reminder that sustainable leadership isn’t built by imposing new systems. It grows when people are equipped to lead themselves.
A ground-up approach to lasting change
Since 1991, Tostan—whose name means "breakthrough" in Wolof—has partnered with rural African communities to advance human rights, health, literacy, and economic development. Its Community Empowerment Program (CEP) weaves together practical knowledge and human rights education, enabling communities to define and pursue their own visions of progress.
Across eight countries and more than five million lives, Tostan’s approach has led to deep-rooted changes, including the voluntary abandonment of harmful traditional practices. Not by directive, but by choice.
It’s an approach that shows leadership capacity isn’t something to be delivered from outside. It’s something to be nurtured from within.
Meeting communities where they are
In 2024, BTS Spark deepened its collaboration with Tostan through an in-person leadership workshop, led by a BTS Spark consultant, following a year of virtual engagement.
The visit coincided with a leadership transition at the executive level—a pivotal moment requiring clarity, continuity, and resilience. Through targeted coaching and workshops, BTS Spark worked alongside Tostan’s leaders to support the transition and strengthen leadership capacity at every level of the organization.
The focus wasn’t on delivering a model. It was on listening, amplifying existing strengths, and equipping leaders to navigate complexity with confidence.
Practical tools for complex challenges
As part of the ongoing collaboration, BTS Spark also provided custom-designed micro-simulations focused on sectors vital to community sustainability: climate resilience, microfinance, and agriculture.
These micro-sims offer leaders a chance to engage with real-world decision-making challenges in a safe, practical environment—an approach that mirrors how leadership development increasingly happens: not through theory alone, but through repeated, real-world application.
It’s a reminder that growth is rarely linear. It’s built through practice, reflection, and adaptation over time.
Building leadership that endures
The work between BTS Spark and Tostan reflects a broader truth:
Leadership isn’t confined to titles, industries, or regions. It emerges where people are given the tools, trust, and space to act.
Sustainable change, whether in communities or organizations, happens when leadership capacity is strengthened closest to where challenges are lived every day.
The partnership also highlights the power of investing in local capability: focusing on what’s already working, building resilience from within, and preparing leaders not just to meet today’s challenges, but to shape tomorrow’s opportunities.
Moving forward: Scaling with purpose
The work in Senegal is continuing to evolve. BTS Spark and Tostan are exploring ways to extend leadership development to more communities, deepen their impact, and continue supporting transformation through shared expertise and partnership.
It’s a model rooted in respect, collaboration, and the belief that leadership is most powerful when it reflects the realities and aspirations of the people closest to the work.
Related content
You can't predict the future. You can be disciplined about how you face it.
That's where Future Storming comes in. Future Storming is a process for looking at the trends and signals already visible in the market, understanding how those forces connect, and thinking more clearly about where they may lead.
Recently, we've been applying that lens to talent strategy, running Future Storming sessions with talent leaders across industries to understand which forces are already reshaping how organizations find, develop, and retain the people they need. When you look across those conversations, one thing is hard to miss: AI runs through almost all of the most significant trends, and not as a future scenario. It's already reworking the talent systems most organizations have leaned on for years, often quietly, and often faster than leadership teams have had time to respond.
From these sessions, five high-likelihood, high-impact shifts have emerged as the ones every talent leader needs to be watching right now. What follows is what each of them may mean for your organization.
1. The frameworks most organizations use to define great leadership were built for a different era
Skills and competency models describe work that no longer exists in many roles or that AI now performs alongside, or instead of, humans. The gap between what organizations say they're selecting and developing for, and what the work actually requires, is widening quietly.
This creates a real problem. Organizations that don't redefine what great looks like now will be developing the wrong people for the wrong future optimizing for capabilities that are becoming less predictive while under-investing in the ones that matter most.
- Rebuild leadership profiles from a future-back perspective, starting with where the business is heading, not where it has been.
- Focus on the distinctly human capabilities AI cannot replicate judgment in ambiguous conditions, relational intelligence, ethical reasoning, the ability to set direction when there is no precedent.
- Increase the use of behavioral observation in selection and development. It's the only methodology that shows how someone actually thinks and decides under real pressure.
The signal worth chasing isn't on a resume, it's in the room in how someone handles a real situation, under genuine pressure. It's the only place where someone can't prepare their way out of being themselves.
2. Human differentiators are the last mile AI cannot close
Judgment. Empathy. Creativity. The ability to navigate genuine ambiguity. These are increasingly what separates human contribution from AI output and they're precisely the things most talent systems have always found hardest to measure.
For a long time, organizations could afford to treat these as qualities that would emerge naturally with experience. That's no longer an option. The human differentiators are becoming the job. And most organizations still aren't measuring them well.
The methods exist behavioral assessment, simulation, structured observation. And AI is now making them accessible at scale in ways that simply weren't possible before. The question isn't whether to use them. It's how to deploy them thoughtfully, with the governance and transparency that -stakes talent decisions require.
- AI-powered behavioral observation that surfaces how people actually perform in the flow of work, (i.e. judgement, decision-making, adaptability) not self-report
- Assessment that evaluated how people work with AI, not just without it because that's increasingly what the role looks like
- Simulation-based approaches that reveal thinking in action - the kind of evidence no credential or output can provide
3. The talent pipeline is broken
AI is displacing the early-career work that has traditionally served as the on-ramp into organizational life. Those tasks once gave emerging employees something more valuable than work product. They gave them foundational experiences, relationships, and judgment. The kind of judgment that eventually grows into leadership.
The impact won't show up immediately. That's exactly what makes it worth paying attention to now. Within three to six years, benches will thin and succession pipelines will require far more intentional investment. Organizations will find themselves asking why their internal talent isn't developing the way it used to.
The organizations that get ahead of this have a real opportunity to build something more deliberate, more equitable, and better suited to the capabilities the future actually requires.
- Invest in real, simulation-based experiences, putting emerging leaders into the decisions and pressures that build genuine organizational judgment, not just task exposure.
- Redefine what early-career development is, building toward the capabilities the future requires, not the ones the old job description described.
- Build feedback into the flow of work. AI behavioral observation and practice AI role plays make continuous development possible at scale. The experience that used to happen informally has to be designed now.
4. People need to re-skill faster than any development model was built to support
People need to reskill faster than any development model was built to support. Most organizational development infrastructure was built around a longer, more stable arc of skill acquisition. AI is compressing that arc significantly.
The implication isn't just that training needs to be faster. It's that the whole architecture of how organizations identify, develop, and deploy talent needs to be built for continuous recalibration not periodic refresh.
- Prioritize adaptability and learning agility over static expertise. The ability to acquire new capabilities quickly matters more than the specific capabilities someone holds today.
- Treat reskilling as a continuous organizational process, not an episodic program.
5. AI is absorbing leadership work and culture is losing it's anchor
This is the shift that's easiest to underestimate, and hardest to recover from once it arrives.
Culture is what people see leaders do. The behaviors leaders model how they make decisions, how they show up in hard moments, what they choose to reward and what they let go are how organizational culture gets transmitted. It doesn't travel through stated values. It travels through visible human behavior.
AI is absorbing the work that used to make leaders visible as humans making choices. Performance reviews written by AI. Communications drafted by AI. Coaching conversations mediated by AI. When the distinctly human work disappears, so does the signal. People don't know what to watch anymore. And culture which depends on that watching starts to fray.
The organizations that navigate this well won't be the ones that use less AI, they'll be the ones most intentional about which leadership behaviors remain visibly human, and why.
The behaviors that held culture together need to be rebuilt around what humans uniquely contribute now and that starts with getting the success profile right. That's exactly what the Future Ready Profile is built for.
Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.
- Strengthen empathy-centered leadership capabilities. The human dimensions of leadership matter more, not less, as AI takes on more of the technical work.
- Reinforce organizational purpose and human-centered culture as anchors.
- Treat culture as something you design, not something you inherit.
What this means
The organizations that navigate this well won't be the ones that adopted AI fastest, they'll be the ones that invested just as deliberately in the human systems around it.
These five shifts aren't warnings. They're design problems, and design problems have answers. The talent systems that come out of this moment can be more intentional, more equitable, and more fit for purpose than anything we've built before.
At BTS, this is the work we're doing every day. If you'd like to think through what any of it means for your organization, we’d love to talk.
The thinking in this article was shapped by Future Storming sessions, including a SIOP 2026 workshop, and by ongoing conversations with talent leaders navigating these shifts in real time.
Hace unos meses terminé una sesión con un equipo de ejecutivos comerciales de una institución financiera mediana. Dos días intensos: cómo prospectar, cómo estructurar conversaciones centradas en el cliente, cómo crear valor en cada interacción. El grupo salió inspirado del taller.
Tres semanas después le pregunté a uno de los mejores participantes sobre cómo le había ido aplicando las nuevas herramientas. Me miró un segundo y me dijo, con total honestidad:
“La verdad... la semana siguiente fue igual que siempre, volví al viejo sistema”
El entrenamiento de capacidades es necesario. Pero sin una cultura comercial que lo sostenga, es un esfuerzo poco rentable para las empresas.
1. Las capacidades sin contexto no sobreviven al día a día
Un ejecutivo de ventas puede salir de un taller sabiendo exactamente qué preguntar, cómo estructurar una conversación de valor, cómo posicionarse como asesor estratégico en lugar de vendedor de productos. La semana siguiente, el peso de las métricas de corto plazo, la presión por resultados y las urgencias del día a día terminan arrastrándolos de vuelta a la rutina de siempre.
McKinsey (2024) encontró que más del 70% de las iniciativas de transformación comercial no logran sus objetivos — y la principal causa no es el diseño del programa, sino la falta de condiciones organizacionales para sostener los nuevos comportamientos.
El problema no es el taller. Es lo que existe o no existe en la realidad de la estructura comercial.
2. El cambio requiere alinear seis pilares
Lo que diferencia a las empresas que realmente transforman su modelo comercial de las que solo capacitan, está relacionado con seis pilares que operan simultáneamente.
1. Patrocinio de la alta dirección que empodera en lugar de solo exigir
2. Disciplina en gestión de cuentas/clientes estratégicos, con metodología y seguimiento
3. Conversaciones centradas en el cliente, no en el portafolio de productos
4. Cada interacción con relevancia estratégica, preparadapara crear valor medible
5. Nuevos comportamientos integrados al ritmo operativodiario y la cadencia del negocio
6. Líderes comerciales presentes que sostienen la cultura, no solo la expresan
Cuando falta uno, los demás no escalan y terminan provocando un círculo vicioso.
3. El liderazgo que sostiene vale más que el que exige
El patrocinio de la alta dirección y la presencia de los líderes comerciales sonlos pilares que más frecuentemente fallan. No porque los líderes no crean en el cambio, sino porque el día a día los jala de vuelta a revisar resultados, no a construir comportamientos.
Gartner (2024) señala que los equipos comerciales cuyos líderes hacen coaching activo y visible tienen hasta un 28% mayor probabilidad de adoptar nuevos comportamientos de manera sostenida.
El entrenamiento define el rumbo y entrega el mapa; el liderazgo es lo que realmente ayuda a navegar y sostener el cambio.
Conclusión
Si tu empresa está invirtiendo en transformar la forma en que sus equipos comerciales se relacionan con los clientes, la pregunta ya no es si el entrenamiento funciona. La verdadera pregunta es: ¿qué tan preparada está la organización para sostener el cambio?
Porque el talento existe. Las habilidades se desarrollan. Pero la cultura no se improvisa; se construye todos los días, con liderazgo, alineación y consistencia.
¿Cuál de estos seis pilares es hoy el más débil en tu organización?
É possível mudar a cultura de uma organização?
Hoje em dia, poucas organizações não estão envolvidas em um (ou vários) processos de transformação cultural. Novas formas de trabalhar em organizações mais horizontais e adaptativas, melhorias na cultura de segurança, orientação ao cliente, transformações nas áreas comerciais e excelência operacional, entre outros.
E é aqui que surge uma das grandes perguntas:
É possível mudar a cultura de uma organização? E, se sim, como fazer isso?
Para ajudar a responder a essas perguntas—frequentes entre nossos clientes e amplamente discutidas—gostaria de compartilhar o que aprendemos na BTS ao longo dos últimos 38 anos sobre o que funciona e o que não funciona (até agora, pois em transformação cultural estamos sempre aprendendo).
A boa notícia é que a resposta é sim.
A dificuldade está na segunda pergunta: como fazer isso?
Um projeto? Uma iniciativa?
Um ponto importante é que a transformação cultural não é um projeto com início e fim, mas sim um processo contínuo e em evolução. Isso muitas vezes gera tensão em organizações acostumadas a uma lógica de projetos.
O que é crítico e frequentemente ignorado?
Existem elementos que, quando considerados e aplicados corretamente, tornam a transformação muito mais eficaz. No entanto, muitas vezes são ignorados.
Esses elementos são:
- Envolver as pessoas. Quanto maior o envolvimento em todos os níveis, maior a probabilidade de implementação das mudanças.
- Tornar a mudança tangível e vivida no dia a dia, conectando teoria e prática. Transparência é fundamental.
- Toda mudança tem impactos positivos e negativos — ambos devem ser comunicados com clareza.
- Mudança cultural exige tempo e transformação de mindsets e estruturas organizacionais.
- A cultura deve estar conectada à estratégia.
Como estruturamos a transformação cultural?
Nosso modelo se baseia em quatro etapas: definir resultados, criar líderes de mudança, incorporar mudanças e sustentar novas formas de trabalho.
1. Definir resultados
O primeiro passo é estabelecer resultados claros e alinhamento executivo. É necessário conectar propósito, visão e objetivos organizacionais.
Ações:
- Coleta de dados (entrevistas, focus groups, visitas)
- Diagnósticos culturais
- Definição de expectativas (Leadership Profiles
2. Criar líderes de mudança
Todos os líderes devem atuar como agentes de mudança. É fundamental engajá-los emocional e racionalmente.
Ações:
- Programas de liderança
- Playbooks
- Feedback contínuo
3. Incorporar mudanças
É essencial transformar mentalidades e sistemas organizacionais.
Ações:
- Coaching
- Sprints culturais
- Cascata organizacional
- Avaliações comportamentais
4. Sustentar o novo modelo
Garantir continuidade através de redes, dados e suporte contínuo.
Ações:
- Integração com processos de talento
- Uso de IA no dia a dia
- Monitoramento da transformação
- Comunidades de prática
A importância de ser paciente e impaciente ao mesmo tempo
Transformações culturais são complexas e não têm fórmula única.
Ser estrategicamente paciente e taticamente ágil é essencial para ajustar e evoluir continuamente.
Esse equilíbrio permite transformar a jornada em algo positivo e sustentável.
Este é apenas um resumo.
Se quiser aprofundar com exemplos e práticas:
Baixe o PDF completo e acesse todo o conteúdo.