The best RTO strategies start with who, not what
Companies successfully making the transition to in-person and hybrid schedules know it’s their people, not their policy, that will make it work.
When companies abruptly sent employees home in the spring of 2020, they worried about how working remotely would affect morale, productivity, and team cohesiveness. They likely never imagined the bigger challenge—convincing employees to come back to the office. A shift that took weeks to become the norm has taken months, and many failed attempts, to reverse.
With the majority of employees preferring a fully remote or hybrid work option, companies developing and implementing return to office (RTO) strategies are experimenting with a variety of tactics: reconfiguring the workplace to expand space for collaboration; establishing enhanced safety policies; and offering incentives such as food and beverages, social events, and amenities lacking in most home offices.
While there is no perfect RTO policy that works for all organizations, the most successful strategies do have one thing in common. They start with the employee—and keep employees at the center of all decisions.
Organizations forming their RTO strategy should consider the following:
Hiring and Retention is at Stake: In a recent survey, 87% of working Americans said they would choose to “work flexibly” when provided the opportunity.1 The same survey found that the third most common reason participants were looking for a new job was to have a remote work option. With today’s fierce competition for talent, a company’s ability to attract and keep high performers depends on getting its RTO strategy right.
The consequences of getting it wrong can be brutal: In 2021, a manager at a professional services firm unilaterally decided to require his team to be back in the office four to five days a week. Within months, half the team had left the firm. By talking with employees before issuing the RTO order, this leader could have better understood his team’s needs and wants. Such a dialogue would have increased mutual trust, helped the leader understand the risks of his plan—and enabled him to craft a policy that didn’t have talent bolting for the exit.
Engagement Hinges on Job Reattachment: For people who’ve been working remotely for over two years, a hybrid or fully in-person schedule upends established routines. Employees experience a kind of “reboot” and must mentally prepare not only for tasks and responsibilities, but for a new physical environment. Before they can be engaged and productive, they must rebuild a mental connection to work. In psychological terms, this is known as “job reattachment.”
Managers can assist their teams in that adjustment by creating an environment where employees feel psychologically safe, by leading with humanity and empathy. This requires leaders to be aware of their own mindsets, cognizant of how their actions affect others, and willing to learn quickly and change as needed.
Equity Matters: Even within organizations, one-size-fits all policies have little chance of succeeding. Some positions might lend themselves to fully remote work. For other jobs—such as those in manufacturing or R&D or those that are client-facing—even a partially remote arrangement might not be possible. Providing different options to employees in different functions across the organization can lead to tension.
Employers can defuse the tension by striving to make remote work equitable for all, communicating transparently and leading with the needs of their people. This includes recognizing that for some employees a return to in-person work also means a return to lengthy, expensive daily commutes, or that the new policy will send parents scrambling for childcare. Leaders should look for solutions to help mitigate these stressors.
Authorship Leads to Ownership: To craft an RTO policy that keeps employees at the center, organizations must start by talking with employees. Sounds obvious, but too many RTO initiatives fail because companies skip or skimp on the process of discovering their employees’ wants and needs. This assessment can take the form of surveys, interviews, town halls, focus groups, anything that lets employees be—and feel—heard.
Ultimately, the RTO policy won’t please everyone (has anything ever?). It will, though, be built on meeting the needs of employees. Even those who are disappointed by some parts of the plan will feel a greater sense of buy-in for having had their voices heard.
Flexibility is Key: Again, there is no perfect approach to RTO. How could there be? There is no precedent, no model for what companies are attempting to do. The principles and practices outlined here can lay the foundation of a winning RTO strategy. Success, though, demands that companies stay flexible, trying out new policies, listening to employee feedback, admitting when something doesn’t work, and pivoting when necessary.
The pandemic has forced organizations into a massive experiment. It will take intentionality, flexibility, and a relentless focus on people to discover the RTO formula that best serves the needs of employees and organizations.
Sources
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.
Meetings are a universal ritual in organizational life. While managers on average spend more than half their working hours in meetings, many leaders can’t shake the feeling that meetings are falling short of their potential. Are they advancing the work, or quietly draining energy? At BTS, we study teams not as collections of individuals, but as living systems. This perspective reveals dynamics that traditional methods often overlook. Rather than aggregating individual 360° assessments, we assess the team as a whole to examine how the team functions collectively. Applying that lens to one of the most common team activities (meetings) uncovers patterns worth paying attention to. Drawing on thousands of team assessments in our database, we focused on two meeting behaviors:
- Do teams meet regularly?
- Do team members leave meetings with clear accountabilities and next steps?
Our question: How strongly do these behaviors relate to overall team effectiveness?
What the data revealed
Using data from 1,043 respondents (team members and informed stakeholders) we ran a Bayesian analysis to evaluate the predictive power of each behavior. The results were striking:
- Both behaviors were linked to higher team effectiveness.
- But one mattered far more: leaving meetings with clear accountabilities and next steps was 3.9x more predictive of team effectiveness than simply meeting regularly.
- And teams that often or always wrap up meetings with next steps rated 0.66 points higher on a 5-point scale of team effectiveness than teams who sometimes, rarely, or never close with accountabilities - that's almost a full standard deviation higher (0.96 sd)
Meetings aren’t the problem, muddy outcomes are.
Teams often default to frequency, setting cadences of check-ins or standing meetings. Our data suggest that what differentiates effective teams from the rest is not how many meetings they hold, but what comes out of them. A team that meets less often but ends each session with clear accountabilities will outperform a team that meets frequently but leaves outcomes ambiguous. In other words, meetings aren’t inherently wasted time; they become wasted time when they don’t translate into aligned action.
A simple shift that pays dividends
The good news: improving meetings doesn’t require radical redesign. Small changes reinforce accountability and dramatically increase the value extracted:
- Close with clarity. Reserve the last 5–10 minutes of every meeting to confirm: What decisions have been made? Who owns what? By when? This habit shifts meetings from “discussions” to “decisions.”
- Make commitments visible. Use a shared action log, team board, or project tracker so next steps are transparent, and progress is easy to follow. Visibility builds accountability.
- Assign a “Closer.” Rotating this role signals that closing well is everyone’s responsibility. The Closer ensures the team doesn’t drift into vague agreements, but leaves aligned and ready to act.
When teams adopt these habits, the difference is tangible: less rehashing of the same topics, faster progress on priorities, and a stronger sense of shared ownership. These small shifts compound quickly, making meetings not just more efficient, but more energizing and effective. In a world where teams face relentless demands and limited time, focusing on how meetings end may be one of the fastest ways to improve how teams perform.
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.
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:
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