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In Part 1, I told you about the three decisions we made two years ago and the simulation flywheel that produced our first Applied AI diamond.

Here’s the field-notes version.

Over 80% of our global business have now adopted a new Applied AI approach for doing simulations in the first eight weeks, across 24 countries and every practice.

‍The flywheel didn’t stop with simulations. It moved into finance, sales enablement, legal, operations, and client delivery. Teams started building agents and bringing them onto their own org charts. We didn’t plan for any of that. We built the conditions for people to find their own breakthroughs.

What it felt like inside the flywheel.

When the simulation team went live with their first clients on the new way of working, the lead person hit a wall. Their words:

“You’re asking too much. You’re making me be a full-stack developer. Up until this point I did a small part, and I sent it to the team, and they built off the back end, and they brought it back. And now I have to end-to-end soup to nuts, basically alone.”

There was graphic UI work nobody had been trained for, the fear of delivering quality below what BTS expects of itself, and the weight of not having a playbook. This was not the joyful adoption story most consultancies tell.

Then something shifted. Six members showed up for product testing, where the usual was two or three. The work created teamwork I hadn’t seen at BTS in years. The breakthrough was not an instantaneous change from skepticism to celebration. It was a breakdown in confidence, then rally, then bonding. If we didn’t make room for the breakdown, we would have lost the rally.

The other breakthrough was global teamwork; not yet a BTS core strength. Our culture is beautiful: high-freedom and entrepreneurial. But people’s first identities are to their countries. Almost every prior attempt we’ve made at a global initiative has failed. The one exception was Covid. So, when I say what happened next surprised me, I mean it.

I asked to join the simulation team’s Slack channel rather than pulling them into status meetings. What I got to watch in the mornings was someone in South Africa waking up, posting “I tried this and got stuck,” then London adding on, then San Francisco weighing in, then a surprise breakthrough overnight from Tokyo. We didn’t engineer that. Curious and determined BTS’ers did. The problem was interesting enough that the org chart didn’t matter. It was amazing to see and a glimpse into the next evolution of the BTS culture.

The pattern: Explore, expand, institutionalize, renew.

What we’ve now seen play out, both inside BTS and with clients, follows the same four-step pattern. Each step asks a specific decision of the leader.

Explore.

Stay stubborn on the aspiration and fluid on the path. Our breakthrough wasn’t the path we originally took. We changed tools and approaches. Nobody could have foreseen that. And if the team had taken the first six months of learnings from AI as their definitive “this is the detailed path we will follow,” we never would have gotten the disruption. Five different tool combinations were tried before we found the one that worked. Companies that lock into a single path or tool too early are betting against compounding capability that doubles roughly every seven months. That is not a bet I’d take.

Expand.

Run the old way and the new way side by side. When the simulation team’s breakthroughs got real, the instinct was to retreat into more internal testing. We did the opposite. They ran old way and new way in parallel on 6 or 8 live client projects across all three geographies. Every single one ended up going live the new way. The backup was always there. They didn’t need it.

Institutionalize.

Burn the boats. The simulation team committed that no new client work would be done the old way after January 1. The other practice leads then committed to dates within Q1, even though most of them had not yet experienced the new way themselves. They had to trust their colleagues. If you can do it for the most complex thing, you could probably do it for the less complex ones. By February 15, we had approaching 90% global adoption across 24 countries, across all practices. I was shocked and proud. We had spent years failing at exactly this kind of global rollout.

Renew.

Treat your agents as contractors. People on our diamond teams are now managing 30+ agents they built themselves. Our teams give agents performance feedback. We terminate their contracts when they don’t deliver. We expand the responsibility of agents when they outperform. The frontier question we’re wrestling with now is token budgeting. Two friends of mine running engineering-heavy companies believe that within 6 - 9 months, their token cost per engineer will exceed the cost of the engineer. Whether that’s the right framing is open. The question is real, and every CEO will be asked some version of it within the year.

What had to be true for this to scale.

Once we achieved this amazing global innovation, the leadership sat down to figure out what made it work. We named five things. None of them were about the technology.

Real pain points as the starting point. We had so many people frustrated from those ways of working, all the back and forth and all the wasted time, that this was gold for them. The old way was already painful. The new way wasn’t a forced disruption; it was relief. Find the workflow where the pain is loudest and start there.

The diamond unlocked creativity, it didn’t constrain it. This was the most differentiated insight, and the one most leaders miss. It wasn't "here's the new tasks and rules." It was, "once you learn how to do this, the sky's the limit. You can be even more creative." If your rollout feels like a new set of rules constraining your people, you’ve built the wrong thing.

Pair deep expertise with fresh eyes. The disproportionate share of our breakthroughs came from a tenured tinkerer with total command of the work, paired with someone new to the role who hadn’t yet built the muscle memory of how it had always been done. Without that pairing, you get incremental improvements to the work you already know how to do, instead of a reinvention.

Refuse the “people are too busy” reflex. When I brought the rollout to the global leadership team, the excuses came fast. “Our people are too busy. They’re burnt out. Q1 is going to be busy. No one’s going to have time.” My response: “This is a chance to eliminate the tasks you dread and expand what you love. I know it is a short push of extra work, and I think after the fact you and your team will feel joy and pride and say it was the best time we ever spent.” This is the moment most AI rollouts die.

Senior leaders must lead by example and do the work themselves. This is not middle manager’s job. This is not something you delegate. Even though you don’t build simulations anymore, you must know what this is. One of our partners proactively put time on senior leaders’ calendars and forced them to do the work. Once they started building, the excitement grew, and they could advocate for the rollout because they understood it. If your executives haven’t put their hands on the keyboard, you don’t have a rollout. You have a memo.

What we’re seeing across clients.

We’re now running this play with client organizations across industries and geographies. The companies whose flywheels are accelerating paired their A-players with their early-career talent, pulled IT and legal into the working sessions, refused the “too busy” reflex, and put their senior leaders’ hands on the keyboard. The companies whose flywheels are stuck almost always have a leadership pattern at the center of the stall. Not a tooling pattern. Not a governance pattern. A leadership pattern.

If this resonates, let’s talk.

If you read Part 1 and asked yourself whether your flywheel was turning, the question I’d add now is sharper: do you have the conditions in place for a diamond to appear? If yes, you’re already moving. If no, the technology will not save you.

Here's where we're starting with clients: a working session, half day to a full day, with a small group that owns one of your highest-friction processes. Together we map where your first diamond is most likely to land, how to set up the side-by-side trial, and what your version of "burn the boats" should look like.

The destination, if we do this right, is a self-reliant culture of applied AI inside your company. 5, 10, 15 diamonds compounding into a fundamentally different way of operating. From what I have experienced this is a once in a career opportunity for dramatic shareholder value creation if you get that muscle going. I say that because I'm watching it happen, in real time, inside our own company and across our client base.

If you want to get your flywheels spinning and map your first diamond, start here. Bring your hardest workflow. We'll bring the playbook.

Most leaders focus on strategy—not because they undervalue culture, but because strategy feels concrete. It has structure, timelines, metrics, and deliverables. It’s visible and defensible. When pressure is high, strategy gives leaders something they can point to and steer. Culture doesn’t always feel that way. It’s harder to define, harder to measure, and often lands in the “important, but not urgent” pile. That’s not a leadership flaw. It’s a gap in how we’ve equipped leaders to lead.But if you want to change how your organization operates, you have to start with what people experience every day.

Below are six no-fluff actions from our recent event, , designed to help you leave your team stronger than you found it.

‍Culture Without the Fluff→ Don’t miss events like these! Sign up for our newsletter or visit our events page to see what’s coming.

1. Build shared habits

If strategy defines where you’re going, culture determines whether you’ll get there. Strategy can shift quickly, with a new market, goal, or CEO. Culture can’t. It’s shaped by the beliefs, habits, and norms that don’t pivot on command—and that’s where friction starts. The disconnect doesn’t usually show up in big moments. It shows up in how decisions get made, what’s prioritized under pressure, and whether feedback is honest or avoided. These daily behaviors signal what really matters, regardless of what the strategy says. That’s why high-performing organizations go beyond communicating direction. They turn strategy into clear expectations for how people should work, lead, and collaborate—and then reinforce those expectations through routines, incentives, and leadership behavior.

Try this:

Pick one strategic priority and ask: What should people be doing differently if this is truly our focus? If you’re not seeing those behaviors, there’s a gap. Ask yourself: Do our daily habits match the future we’re trying to build?

2. Use the levers you already own

Culture change doesn’t have to start with a massive initiative. It can start with the levers you already own. Culture lives in the mechanics of your team’s work: how meetings are run, how frontline decisions are made, how failure is treated, and what behaviors leaders model. These small signals shape big beliefs. That’s why abstract values and vision statements alone often fall flat. They’re not wrong, but without action behind them, they’re just words on a page. Real change starts by zooming in on specific moments that shape how work gets done, and making small, intentional shifts. Want a culture of accountability? Focus on what happens after meetings. Want more innovation? Look at how failure is handled during team reviews.

Start here:

Pick one lever (like how meetings are run) and ask:

• What messages are we sending through how we meet?

• Who speaks up? Who stays silent? What actually gets decided?

Then make small adjustments that reinforce the culture you want—not the one you’ve inherited.

3. Avoid the tempting pitfalls

If you’ve ever rolled out a new set of values, launched a culture initiative, or shared a bold new vision, only to see behavior stay exactly the same, you’re not alone. Most culture efforts stall not because leaders don’t care, but because they start with what’s visible and familiar: messaging, posters, kickoff events. These feel like the right moves. But they rarely shift what people actually do, and rarely resonates in a meaningful and lasting way In our recent webinar, we shared six common traps that organizations fall into often with the best intentions. Here are three that come up again and again:

1. Relying on values to do the heavy lifting. Most teams have clear values, but that’s not the problem. The challenge is turning those values into real habits. If the way you run meetings, make decisions, and give feedback doesn’t reflect what’s on the wall, people notice—and disconnect.
2. Expecting HR or culture champions to lead the culture shift alone. HR and champions play a big role in culture, but they can’t do it without leaders. People take their cues from credible influencers in the business: what gets rewarded, what gets ignored, and how leaders show up under pressure. That’s where real culture change starts.
3. Announcing culture change before actually changing anything. This is a classic case of show don’t tell. When leaders talk about change without shifting the day-to-day experience, people become skeptical. They’ve heard it before. What earns their belief and commitment is seeing leaders act differently in ways that directly affect their work.  

P.S. We’ve rounded up 3 more pitfalls worth avoiding. See them here.

Start here:

Surface the unspoken. Ask: What do people believe they’ll be rewarded for today? What would they have to believe to behave differently?Culture change requires shifting the mental models that shape behavior.

4. Shift the beliefs beneath the behaviors

You can’t shift behavior without understanding the beliefs behind it. If teams aren’t collaborating across silos, it’s probably not because they don’t want to—it’s because they’re rewarded for competing, not collaborating. If leaders aren’t taking smart risks, it might be because failure has been punished, not treated as a learning moment. These everyday behaviors are just the surface—what’s driving them are deeper, often invisible beliefs that probably outlast the tenure of some of your employees.

Start here:

Ask: What are the unspoken rules here? What would someone need to believe for this behavior to feel natural, safe, and worth it? Until you name and shift those beliefs, culture efforts will stay stuck at the surface.

5. Don’t let your culture fall behind your tech

Honestly, the real surprise would be if AI wasn’t reshaping your culture. Some organizations are going all-in on experimentation. Others are still figuring out what their approach will be. But wherever you are on the curve, one thing’s clear: this moment feels a lot like the wild west. And your talent is picking up on that. Leaders are signaling the need to adapt and innovate—but rewards and incentives often tell a different story. Without clear signals from the culture that it’s safe to try, valuable to learn, and worth the risk, even the smartest tools won’t be used to their full potential.

Ask yourself:

• How are we capturing what’s working with AI—and making those insights visible and usable across the organization?

• What are we taking off people’s plates to give them the time and space to learn, experiment, and adapt?  

• Have we updated the priorities, deliverables and expectations to reflect the new reality—or are we layering AI on top of an already full workload?

• Are leaders helping people see the personal value in this shift—so AI feels like a path to growth, not a threat to their role?

6. Start small, scale fast

Most leaders assume culture change has to be slow and sweeping. But it doesn’t.We’ve seen major progress start with one small shift—the kind that’s visible, repeatable, and high-impact. The key? Start where the energy already is: a team that's eager, a leader who's ready, a process that’s stuck. Then focus on one behavior that’s holding things back—and change it. From there, scale what works.

Start here:

Use this simple 3-step exercise to find a small, high-impact place to start:

1. Pinpoint a stuck spot: Where is strategy getting delayed, deprioritized, or lost in translation? Common areas include:
   • Team meetings that always run long but lead to no decisions
   • A new tool or process people aren’t adopting
   • A frontline team disconnected from the broader strategy
   • An area with low engagement or slow execution
2. Identify the blocker behavior:
   • What specific habit, mindset, or expectation is in the way? (e.g., defaulting to top-down decisions, rewarding speed over learning, fear of trying something new)
3. Make one shift—and scale what works
   • Change that behavior in one team, one moment, or one process.
   • Capture the impact. Then share the story and replicate what worked.

Change spreads through stories. Show people what’s possible, and they’ll move with you.

Culture change is hard. Doing it alone? Even harder.

We work with teams around the world to:

• Spot what’s working—and what’s getting in the way

• Test small shifts that create big ripple effects

• Keep momentum going as change starts to spread

Reach out to us to start a conversation!

In the 1990s, Business Process Reengineering (BPR) was the Big Bet. Companies launched tightly controlled pilot programs with hand-picked teams, custom software, and executive backing. The results dazzled on paper.

But when it came time to scale? Reality hit. People weren’t ready. Systems didn’t connect. Budgets dried up. The pilot became a cautionary tale, not a blueprint.

We’ve seen this before with Lean, Agile, even digital transformations. Now it’s happening again with AI, only this time, the stakes are different. Because we’re not just implementing a new solution, we’re building into a future that’s unfolding. Technology is evolving faster than most organizations can learn, govern, or adapt right now. That uncertainty doesn’t make transformation impossible, but it does make it easier to get wrong.

And the dysfunction is already showing up, just in two very different forms.

Two roads to the same cliff

Today, we see organizations falling into two extremes. Most companies are either overdoing the control or letting AI run wild.

Road 1: The free-for-all

Everyone’s experimenting. Product teams are building bots, prompting, using copilots. Finance is trying automated reporting. HR has a feedback chatbot in the works. Some experiments are exciting. Most are disconnected. There's no shared vision, no scaling pathway, and no learning across the enterprise. It’s innovation by coincidence.

Road 2: The forced march

Leadership declares an AI strategy. Use cases are approved centrally. Governance is tight. Risk is managed. But the result? An impressive PowerPoint, a sanctioned use case, and very little broad adoption. Innovation is constrained before it ever reaches the front lines.

Two very different environments. Same outcome: localized wins, system-wide inertia.

The real problem: Building for optics, not for scale

Whether you’re over-governing or under-coordinating, the root issue is the same: designing efforts that look good but aren’t built to scale.

Here’s the common pattern:

• A team builds something clever.
• It works in their context.
• Others try to adopt it.
• It doesn’t stick.
• Momentum dies. Energy scatters. Or worse, compliance says no.

Sound familiar?

It’s not that the ideas are flawed. It’s that they’re built in isolation with no plan for others to adopt, adapt, or scale them. There’s no mechanism for transfer, no feedback loops for iteration, and no connection to how people actually work across the organization.

So, what starts as a promising AI breakthrough (a smart bot, a helpful copilot, a detailed series of prompts, a slick automation) quietly runs out of road. It works for one team or solves one problem, but without a handoff or playbook, there’s no way for others to plug in. The system stays the same, and the promise of momentum fades, lost in the gap between what’s possible and what’s repeatable.

We’ve seen this before

These aren’t new problems. From BPR to Agile, we’ve learned (and re-learned) that:

• Experiments are not strategies. Experiments show potential, not readiness for adoption. Without a plan to scale, they become isolated wins; interesting, but not transformative.
• Culture is the operating system. If the beliefs, behaviors, and incentives underneath aren’t aligned, the system breaks, no matter how advanced the tools.
• Managers matter. Without their ownership and support, change stalls.
• Behavior beats code. Tools don’t transform companies. People do.

Design thinking promised to bridge this gap with user-driven iteration and empathy. But in practice? Most efforts skip the hard parts. We tinker, test, and move on, without ever building the conditions for adoption.

AI and the new architecture of work

Many organizations treat AI like an add-on—as if it’s something to bolt onto existing systems to boost efficiency. But AI isn’t just a project or a tool; it changes the rules of how decisions are made, how value is created, and what roles even exist. It’s an inflection point that forces companies to rethink how work gets done.

Companies making real progress aren’t just chasing use cases. They’re rethinking how their organizations operate, end to end. They’re asking:

• Have we prepared people to reimagine how they work with AI, not just how to use it?
• Are we redesigning workflows, decision rights, and interactions—not just layering new tech onto old routines?
• Do we know what success looks like when it’s scaled and sustained, not just when it dazzles?

If the answer is no, whether you’re too loose or too locked down, you’re not ready.

The mindset shift AI demands

AI isn’t just a tech rollout. It’s a mindset shift that asks leaders to reimagine how value gets created, how teams operate, and how people grow. But that reimagination isn’t about the tools. The tools will change—rapidly. It starts with new assumptions, new stances, and a new internal leader compass.

Here are three essential mindset shifts every leader must make, not just to keep up with AI but to stay relevant in a world being reshaped by it:

1. From automation to amplification

Old mindset: AI automates tasks and cuts costs.

New mindset: AI expands and amplifies human potential, enhancing our ability to think strategically, learn rapidly, and act boldly. The question isn’t what AI can do instead of us, but what it can do through us—helping people make better decisions, move faster, and focus on higher-value work.

2. From efficiency to reimagination

Old mindset: How can we use AI to make current processes more efficient?

New mindset: What would this process look like if we started from zero with AI as our co-creator, not a bolt-on?

3. From implementation to opportunity building

Old mindset: Roll out the tool. Train everybody. Check the box.

New mindset: AI fluency is a core human capability that creates new realms of curiosity, sophistication in judgment, and opportunity thinking. Soon, AI won’t be a one-time training. It will be part of how we define leadership, collaboration, and value creation.

From sparkles to scale

In most organizations, the spark isn’t the problem. Good ideas are everywhere. What’s missing is the ability to translate those isolated wins into something durable, repeatable, and enterprise-wide.

Too many pilots are built to impress, not to endure. They dazzle in one corner of the business but aren’t designed for others to adopt, adapt, or sustain. The result? Innovation that stays stuck in the lab—or dies.

Designing for scale means thinking beyond the “what” to the “how”:

• How will this spread?
• What behaviors and systems need to change?
• Can this live in our whole world, not just my sandbox?

It’s not about chasing the next use case. It’s about setting up the conditions that allow innovation to take root, grow, and multiply, without starting from scratch every time.

Here’s how to make that shift:

1. Test in the wild, not just in the lab

Skip the polished demo. Put your solution in the hands of real users, in real conditions, with all the friction that comes with it. Use messy data. Invite resistance. That’s where the insights live, and where scale begins. If it only works in ideal settings, it doesn’t work.

2. Mobilize managers

Executives sponsor. Front lines experiment. But it’s team leaders who connect and spread. Equip them as translators and expediters, not blockers. Every leader is a change leader.

3. Hardwire behaviors, not just tools

The biggest unlock in AI is not the model—it’s the muscle. Invest in shared language, habits, and peer learning that support new ways of working. Focus on developing behaviors that scale, such as:

• Change readiness: the ability to spot opportunity, turn obstacles into possibilities, and help teams pivot.
• Coaching: getting the best out of your AI “co-workers” just like human ones.
• Critical thinking: applying human judgment where it matters most—context, nuance, and ethics.

4. Align to a future-state vision

To scale beyond one-off wins, people need a shared sense of where they’re headed. A clear future-state vision acts as an enduring focus, allowing everyone to innovate in concert. That alignment doesn’t stifle innovation. It multiplies it, turning a thousand disconnected pilots into a coherent transformation.

5. Track adoption, not just “wins”

Don’t mistake a shiny, clever prompt for progress. A great experiment means nothing if it can’t be repeated by many people. From day one, design with scale in mind: Can this be adopted elsewhere? What would need to change for it to work across teams, roles, or regions? Build for transfer, not just applause.

The real opportunity

AI will not fail because the tech wasn’t good enough. It will fail because we mistook experiments for solutions, or because we governed innovation into paralysis.

You don’t need more control. You don’t need more chaos. You need design for scale, not just scale in hindsight.

Let’s stop chasing sparkles. Let’s build systems that spread.

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.

‍

Si può cambiare la cultura di un’organizzazione?

Oggi, poche organizzazioni non sono immerse in uno (o più) processi di trasformazione culturale. Nuovi modi di lavorare in organizzazioni più piatte e adattive, miglioramenti nella cultura della sicurezza, orientamento al cliente, trasformazioni delle aree commerciali e miglioramento dell’eccellenza operativa, per citarne alcuni.

Ed è qui che nasce una delle grandi domande:

Si può cambiare la cultura di un’organizzazione? E, se sì, come si fa?

Per aiutare a rispondere a queste domande—che i nostri clienti ci pongono spesso e su cui esiste molta letteratura—vorrei condividere ciò che in BTS abbiamo imparato negli ultimi 38 anni su ciò che funziona e ciò che non funziona (finora, perché nel cambiamento culturale non si smette mai di imparare).

La buona notizia è che la risposta alla domanda se si possa cambiare la cultura di un’organizzazione è sì.

La difficoltà sta nel rispondere alla seconda: come si fa?

Un progetto? Un’iniziativa?

Un aspetto importante da considerare è che i processi di cambiamento o trasformazione culturale non sono progetti con un inizio e una fine; sono processi in continua evoluzione. Questo spesso genera tensione nelle organizzazioni abituate a un approccio basato sui progetti.

Cosa è critico e spesso viene ignorato?

Esistono diversi elementi che, se considerati e utilizzati correttamente, rendono gli sforzi di trasformazione molto più efficaci. Purtroppo, spesso vengono ignorati.

Questi elementi critici sono:

• Coinvolgere le persone. Più le persone (a tutti i livelli) sono coinvolte nella trasformazione, maggiori sono le probabilità che implementino i cambiamenti richiesti.
• Per comprendere il cambiamento, bisogna renderlo tangibile e sperimentarlo. Ciò significa collegare il quadro teorico alle azioni quotidiane. Spiegare il quadro completo con trasparenza è fondamentale.
• Tutti i cambiamenti portano aspetti positivi, ma anche impatti negativi. Spiegare il quadro completo con trasparenza è fondamentale.
• Cambiare la cultura richiede tempo e implica identificare e modificare i “mindset” e le strutture quotidiane (simboli) che definiscono come si fanno le cose nell’organizzazione.
• La cultura deve essere fortemente connessa alla strategia.

Come consigliamo di strutturare i processi di cambiamento culturale?

Il nostro approccio si compone di quattro fasi: definire i risultati, creare leader del cambiamento, incorporare i cambiamenti chiave e sostenere i nuovi modi di lavorare.

1. Definire i risultati

Il primo passo in qualsiasi processo di trasformazione è stabilire risultati chiari. È fondamentale identificare i driver della trasformazione e definire i risultati desiderati in modo da ottenere un vero allineamento a livello esecutivo. Man mano che si procede, è necessario collegare lo scopo e la visione, comprendendo da dove si viene, dove si è e dove si vuole andare. Inoltre, è essenziale collegare la trasformazione agli obiettivi organizzativi.

Alcune azioni rilevanti in questa fase sono:

• Raccolta di informazioni (interviste, focus group, visite operative, …)
• Diagnosi culturali
• Definizione delle aspettative (Leadership Profiles

2. Creare leader del cambiamento

In BTS crediamo che tutti i leader siano anche leader del cambiamento. Adottare una mentalità da “leader del cambiamento” richiede che i leader sperimentino e vedano ciò che ci si aspetta da loro. Fin dall’inizio è fondamentale promuovere l’azione attraverso il “lavoro reale”, come stabilire nuove priorità e comunicare in modo trasparente ed efficace.

I leader devono essere coinvolti (emotivamente e razionalmente) nel cambiamento e devono capire come possono influenzare la cultura attraverso azioni concrete quotidiane.

Infine, è necessario fornire supporto continuo per i cambiamenti più difficili di mentalità e comportamento e raccogliere feedback su ciò che funziona e ciò che non funziona in questa fase.

Alcune azioni rilevanti in questa fase sono:

• Sviluppo di playbook per ruoli critici
• Implementazione di programmi di leadership e cambiamento
• Feedback loops con i livelli esecutivi

3. Incorporare i cambiamenti chiave

Per ottenere un cambiamento significativo, è essenziale identificare i modelli mentali attuali e introdurne di nuovi che supportino lo stato desiderato. Creare routine e simboli che rafforzino il cambiamento, così come identificare processi, pratiche, eventi o norme ancorate ai vecchi modi di lavorare, è fondamentale.

Co-creare nuovi modi di lavorare per un’attivazione immediata aiuta a consolidare questi cambiamenti. Con il progresso, modificare sistemi e processi che supportano e rafforzano i cambiamenti è essenziale per il successo a lungo termine.

Alcune azioni rilevanti in questa fase sono:

• Coaching per leader
• Cultural sprints
• Cascading del cambiamento nell’organizzazione
• Assessment per misurare i cambiamenti comportamentali

4. Sostenere i nuovi modi di lavorare

Il cambiamento non è solo uno sforzo individuale, ma anche un fenomeno sociale. Per questo è necessario creare reti sociali che supportino i cambiamenti di mentalità e comportamento. Interventi con supporto individuale per ruoli critici e momenti specifici, così come l’integrazione dei nuovi modi di lavorare, garantiscono la continuità del cambiamento.

Infine, è necessario utilizzare i dati per analizzare ciò che funziona e ciò che non funziona, permettendo di definire nuove azioni e interventi.

Alcune azioni rilevanti in questa fase sono:

• Integrazione dei playbook nel ciclo di talent management
• Pratica dei nuovi comportamenti con bot basati su IA
• Creazione di un ufficio per monitorare il cambiamento e definire nuove azioni
• Creazione e lancio di Comunità di Pratica (CoP)

L’importanza di essere pazienti e impazienti allo stesso tempo

I processi di trasformazione culturale sono tra i più complessi, poiché non esiste una ricetta unica.

Essere strategicamente pazienti (con risultati chiari ed evitando cambiamenti erratici), ma tatticamente impazienti (agendo nelle fasi descritte e adattando in base a ciò che funziona e ciò che non funziona) è fondamentale.

Questo approccio permette di trasformare questi percorsi in esperienze arricchenti per l’organizzazione, e non in processi dolorosi che lasciano cicatrici nella memoria collettiva.

Questo è solo un riassunto.

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Can an organization’s culture be changed?

Nowadays, there are few organizations that are not immersed in one (or several) cultural transformation processes. New ways of working in flatter and more adaptive organizations, improvements in safety culture, customer-centric transformations, changes in commercial areas, and improvements in operational excellence, to name a few.

And this is where one of the big questions arises:

Can an organization’s culture be changed? And if so, how is it done?

To help answer these questions—often asked by our clients and widely discussed—I would like to share what we at BTS have learned over the past 38 years about what works and what doesn’t (so far, since in cultural transformation one never stops learning).

The good news is that the answer to whether an organization’s culture can be changed is yes.

The difficulty comes in answering the second: how is it done?

A project? An initiative?

An important point to consider is that cultural change or transformation processes are not projects with a beginning and an end; they are ongoing, evolving processes. This often creates tension in organizations that are used to a project-based approach.

What is critical and often overlooked?

There are several elements that, if considered and properly used, will make transformation efforts much more effective. Unfortunately, they are often overlooked.

These critical elements are:

• Involve people. The more individuals (at all levels) are engaged in the transformation, the higher the likelihood that they will implement the required changes.
• To understand change, it must be made tangible and experienced. This means connecting the theoretical framework with day-to-day actions. Explaining the full picture with transparency is key.
• All changes bring positive aspects, but also negative impacts. Explaining the full picture with transparency is key.
• Changing culture takes time and requires identifying and shifting mindsets and daily structures (symbols) that define how things are done in the organization.
• Culture must be strongly connected to strategy.

How do we recommend structuring cultural change processes?

Our approach consists of four stages: setting outcomes, creating change leaders, embedding key changes, and sustaining new ways of working.

1. Set outcomes

The first step in any transformation process is to establish clear outcomes. It is crucial to identify the drivers of the transformation and define the desired results in a way that achieves true executive alignment. As you move forward, you must connect the dots between purpose and vision, understanding where you come from, where you are, and where you want to go. Additionally, it is essential to link the transformation to organizational goals.

Some relevant actions in this phase are:

• Information gathering (interviews, focus groups, operational visits, …)
• Cultural diagnostics
• Definition of expectations (Leadership Profiles

2. Create change leaders

At BTS, we believe that all leaders are also change leaders. Adopting a “change leader” mindset requires leaders to experience and see what is expected of them. From the outset, it is vital to drive action through ‘real work’, such as setting new priorities and communicating transparently and effectively.

Leaders must be engaged (emotionally and rationally) in the change and shown how they can impact culture through concrete day-to-day actions.

Finally, it is necessary to provide ongoing support for the most challenging mindset and behavior changes and gather feedback on what works and what doesn’t at this stage.

Some relevant actions in this phase are:

• Development of playbooks for critical roles
• Deployment of leadership and change programs
• Feedback loops with executive levels

3. Embed key changes

To achieve meaningful change, it is essential to identify current mindsets and introduce new ones that support the desired state. Creating routines and symbols that reinforce change, as well as identifying processes, practices, events, or norms anchored in old ways of working, is crucial.

Co-creating new ways of working for immediate activation helps cement these changes. As progress is made, changing the systems and processes that support and reinforce key changes is essential for long-term success.

Some relevant actions in this phase are:

• Coaching for leaders
• Running cultural sprints
• Cascading the change across the organization
• Assessments to measure behavior changes

4. Sustain new ways of working

Change is not only an individual effort but also a social phenomenon. Therefore, it is necessary to provide the social networks needed to support mindset and behavior changes. Intervening with individual support for critical roles and specific periods, as well as embedding new ways of working, ensures the continuity of change.

Finally, data must be used to analyze what works and what doesn’t, enabling the creation of the next set of interventions and necessary support.

Some relevant actions in this phase are:

• Integration of playbooks into the organization’s talent cycle
• Practice of new behaviors in daily work with AI-powered bots
• Design of an office to monitor change and define new actions
• Design and launch of Communities of Practice (CoP)

The importance of being patient and impatient at the same time

Cultural transformation processes are among the most challenging elements, as there is never a single recipe.

Being strategically patient (with clear desired outcomes and avoiding erratic changes), but tactically impatient (taking action in the phases outlined above and observing what works and what doesn’t, in order to pivot and adjust) is key in transformation processes.

The 4-phase approach helps achieve this, enabling these journeys to become an enriching experience for the organization, rather than a painful one that leaves scars in the collective memory.

This is just a summary.

If you want to dive deeper into the full approach, examples, and practical insights:

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