Demystifying culture change to unleash your momentum in the market

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.

Feedback is one of the most powerful tools a leader has, shaping both individual and organizational culture. Yet, despite its value, it’s often met with apprehension—seen as judgment rather than an opportunity. Instead of fueling growth, it can create tension, leaving recipients feeling exposed and defensive.

This reaction is natural. Feedback touches on identity, competence, and self-worth. When framed as a verdict rather than an insight, it sparks defensiveness instead of openness. But what if feedback wasn’t about judgment? What if it was a tool for gathering better data—both for the recipient and the leader?

When leaders make feedback a habit, not a performance review, they gain sharper insights, model continuous improvement, and create a culture where learning thrives. The shift from evaluation to empowerment turns feedback into fuel for growth. And at the heart of this shift? Curiosity.

Leading in a MESSY world: Why feedback matters more than ever

Leaders today operate in constant disruption and complexity. They must move beyond assumptions and seek new perspectives. At BTS, we call this operating in a MESSY world:

• M – Making sense of the broader ecosystem
• E – Establishing emotional connections to build trust
• S – Seizing momentum to stay ahead
• S – Sensing the future amid uncertainty
• Y – Yielding ego to create space for others to grow

Feedback is critical in helping leaders navigate these challenges. It’s not just a tool for correction but a catalyst for innovation and collaboration. But without structure, feedback can fall flat. That’s where the AFIRM Model comes in.

Reframing feedback: From evaluation to exploration

Great feedback moves beyond transaction into mutual discovery. When leaders model effective feedback, they foster deeper connections and unlock insights that drive performance.

Curiosity plays a crucial role in this transformation. When leaders approach feedback with genuine curiosity—asking open-ended questions and actively listening—they shift conversations from critique to shared learning. Curiosity also provides leaders with better data on how they show up, helping them refine their approach and model the kind of feedback culture they want to create.

Balancing feedback with efficiency is essential. The AFIRM Model provides a structured approach that makes feedback actionable and constructive while keeping curiosity at the center.

Structure feedback for impact with the AFIRM model

AFIRM enables structured yet flexible conversations—ensuring feedback drives results. It provides a roadmap for leaders to create meaningful, productive discussions that foster growth and accountability. Here’s how it works:

A – Agenda

Set clear intentions. Define the purpose and desired outcomes upfront. A prepared conversation leads to honest, productive dialogue and signals that feedback is a shared responsibility rather than a one-sided critique.

F – Facts, Observations, Evidence

Keep it objective. Base feedback on data and observations to minimize bias. Stay neutral and constructive. Providing fact-based feedback ensures conversations remain focused and prevents emotional reactions that derail progress.

Curiosity fosters deeper dialogue—ask questions, seek perspectives, and pave the way for growth. Instead of assuming why something happened, ask “What led to this?” or “What challenges were you facing?” to create space for honest reflection.

I – Impact

Clarify effects. Who was affected? What were the consequences? Centering feedback on impact builds trust and accountability. Highlighting the broader implications helps individuals understand why feedback matters and how their actions contribute to team success.

R – Request

Co-create a path forward. Define actionable, SMART next steps (Specific, Measurable, Achievable, Realistic, Time-bound). Encourage collaboration by asking “How do you think we can move forward?” or “What support do you need?” Keeping the dialogue open ensures accountability while fostering autonomy.

M – Mutuality

Feedback is a partnership. Success requires shared ownership and commitment to growth. A strong feedback culture thrives when both parties see feedback as a two-way street—leaders should also invite input on how they can better support and enable success. Take time to ask “What feedback do you have for me?” to reinforce that feedback is a mutual learning process.

Creating feedback-driven growth

Imagine an organization where feedback fuels engagement and connection. When framed as a tool for growth rather than judgment, conversations shift from evaluation to exploration. Everyone is on the same team, with the same goals.

Great leaders don’t just give feedback—they seek it, reflect on it, and use it to sharpen their approach. By modeling curiosity and making feedback a daily habit, they foster a culture where feedback is normal, constructive, and empowering.

Feedback isn’t about fixing. It’s about discovering what’s possible. By approaching it as a shared learning opportunity, we move from judgment to collaboration, growth, and transformation.

What’s one question you could ask today to spark a meaningful feedback conversation?

5 make-or-break moments that shape the success (or failure) of Mergers and Acquisitions

Analysts say 2025 will be the year that the multi-trillion-dollar Mergers and Acquisition floodgates will open once again.

For us at BTS, these key moments are an exciting opportunity to witness how strategy, culture and leadership play together. Mergers and acquisitions (M&A) represent some of the highest-stakes decisions an organization can make. Analysts scrutinize billion-dollar deals, executives promise ambitious synergy targets, and employees at all levels must adapt to new realities that are often thrust upon them. The success of your integration doesn’t just depend on strategy—it hinges on the ability of thousands of individuals to embrace new teams, tools, structures, and ways of working.

The human side of integration is often underestimated, yet plays a crucial role in the success or failure of mergers and acquisitions.  

Recent research shows that 70% of successful M&A deals involved a proactive approach to managing cultural differences.  

Why? Beneath the surface, overlooked factors such as differing beliefs, cultural tensions, and a lack of real strategic alignment often derail even the best-laid plans. From years of guiding organizations through these transformations, we’ve identified five make-or-break moments that define whether an acquisition thrives—or falls short.

1. The “first impression” moment

When two companies come together, senior leaders often reduce first impressions to oversimplified assumptions: “They’re just like us” or “We share the same customer-first mentality.” While these statements may calm initial concerns, they often ignore deeper operational and cultural differences that can create friction later.  

• ‍An example: A communications company acquiring a company of similar size to expand their portfolio and reach. Both claimed to be “customer-centric,” but their definitions were fundamentally different. The organization being acquired prioritized the customer no matter the cost, while the acquiring company prioritized the customer within clear economic boundaries. This subtle but critical difference nearly derailed key decisions in customer crisis moments, where both organizations’ approaches clashed.

At BTS, we’ve seen success when organizations use a more thorough and objective culture diagnostic early in the M&A process to get ahead of possible differences like these, surfacing how work actually gets done, rather than providing a commentary on employee sentiment. Differences can then be worked through proactively before real customer value is on the line.  

2. The “communicating the deal rationale” moment

Acquisitions are ripe with uncertainty, especially for employees of the acquired company, who often fear layoffs or cultural upheaval. Without clear communication of the reasons behind the merger, mistrust can take root, damaging morale and productivity.  

• ‍An example: An oil and gas company learned this the hard way during its acquisition of a smaller regional competitor. Despite leadership's intent to streamline and grow operations in the region, employees of the acquired company assumed the deal was purely to squeeze out cost and sell it to the highest bidder. Distrust spread quickly, undermining cooperation and progress. ‍
• Another example: In contrast, a technology company that made a large acquisition took a radically transparent approach. Leaders engaged employees from both organizations early, co-creating a narrative that focused on shaping the future together and emphasizing shared innovation goals. By addressing concerns directly and collaboratively, they built buy-in and enthusiasm on both sides, setting the stage for a seamless transition.

3. The “bringing senior teams together” moment

Initial meetings between teams from merging companies are often fraught with tension. Often, the bias many leaders have towards action leads to a singular focus on tactical planning—hammering out integration checklists and deliverables—while overlooking the human dynamics in the room.

• ‍An example: In one case, two food and beverage companies merging to take advantage of their complementary product portfolios approached their first meeting with a different focus. Instead of diving straight into strategy, the leadership teams spent the first day exploring cultural alignment, discussing their values and histories, and building personal connections.
  
  This intentional shift paid dividends. As one CEO later remarked, “If we hadn’t started with the culture and leadership conversation, we never would have made so much progress on our strategy.” By fostering trust and understanding, the two teams created a foundation for productive collaboration and accelerated progress on their shared goals.

4. The “let’s activate new ways of working” moment

Senior leaders can align on a vision, but translating it into daily actions across thousands of employees is where integrations often stumble. Over-reliance on one-way communication—announcements and emails—leaves employees unclear on how to work together.

• ‍An example: A biopharma company that acquired a tech firm to enhance patient outcomes was clear about the rationale for the acquisition, but did not spend enough time working through what this combined organization would look like in execution. Two years later, both organizations were still operating as two separate units, unable to deliver on their shared vision. ‍
• Another example: In contrast, a global manufacturing company took a proactive approach during its acquisition. Leaders hosted cross-functional workshops, guiding employees through real-world collaboration scenarios. These sessions surfaced key operational gaps and helped teams align on practical ways to achieve their vision. As a result, integration accelerated, and the combined teams quickly launched a suite of new, co-developed products.

5. The “turning resistance into momentum” moment

As an integration progresses, some organizations try to quickly get to “business as usual”. Senior leaders, who typically have had more time to get ‘on the bus’ of the integration are often keen to move on from the integration. While this impulse is understandable, the challenge is that ceasing to pay attention to evolving dynamics and culture challenges can cause leaders to ignore small signals that can ultimately foreshadow bigger problems. Indeed, proactively seeking out and engaging with resistance can unlock new potential for growth.

• ‍An example: Consider a software company that acquired a cloud-services provider to expand its portfolio. Early friction arose as teams struggled to reconcile their differing approaches to customer support. Instead of letting the tension fester, the leadership teams paused, brought the issues to the surface, and co-created a new customer engagement model.
  
  By openly addressing challenges and aligning on shared practices, the companies not only resolved their differences but also built a stronger, unified approach. Without this intervention, the integration could have been frustrated by years of lingering inefficiencies and resentment.

Greater than the sum of parts: Achieving success beyond the merger

M&A deals are extraordinary opportunities to accelerate growth, redefine industries, and create lasting value. But the statistics don’t lie: up to 90% fail to meet expectations. The difference often comes down to overlooked intangibles—cultural alignment, trust, and the willingness to navigate tough conversations.  

‍The organizations that succeed understand this. They don’t just manage checklists; they embrace the human elements of integration. They foster trust, build alignment, and co-create a shared future.

The real value of M&A lies in these make-or-break moments. When leaders approach integration with intentionality and openness, they unlock the potential for their organizations to be truly greater than the sum of their parts—and deliver on the promise of the deal.

Each business revolution has reshaped not only how businesses operate, but how they organize themselves and empower their people. From the industrial age to the information era, and now into the age of artificial intelligence, technology has always brought with it a reconfiguration of authority, capability, and judgment.

In the 19th century, industrialization centralized work and knowledge. The factory system required hierarchical structures where strategy, information, and decision-making were concentrated at the top. Managers at the apex made tradeoffs for the greater good of the enterprise because they were the only ones with access to the full picture.

Then came the information economy. With it came the distribution of information and a need for more agile, team-based structures. Cross-functional collaboration and customer proximity became competitive necessities. Organizations flattened, experimented with matrix models, and pushed decision-making closer to where problems were being solved. What had once been the purview of a select few, judgment, strategic tradeoffs, and insight became expected competencies for managers and team leads across the enterprise.

Now, AI is changing the game again. But this time, it’s not just about access to data. It’s about access to intelligence.

Generative AI democratizes access not only to information, but to intelligent output. That shifts the burden for humans from producing insights to evaluating them. Judgment, which was long the domain of a few executives, must now become a baseline competency for the many across the organization.

But here’s the paradox: while AI extends our capacity for intelligence, discernment, the human ability to weigh context, values, and consequence, is still best left in the hands of human leaders. As organizations begin to automate early-career work, they may inadvertently erase the very pathways and opportunities by which judgment was built.

Why judgment matters more than ever

Deloitte’s 2023 Human Capital Trends survey found that 85% of leaders believe independent decision-making is more important than ever, but only 26% say they’re ready to support it. That shortfall threatens to neutralize the very productivity gains AI promises.

If employees can’t question, challenge, or contextualize AI’s output, then intelligent tools become dangerous shortcuts. The organization stalls, not from a lack of answers, but from a lack of sense-making.

What organizations must do

To stay competitive, organizations must shift from simply adopting AI to designing AI-aware ways of working:

• Build new learning paths for judgment development. As AI replaces easily systematized tasks, companies must replace lost learning experiences with mentorship, simulations, and intentional development planning.

• Design workflows that require human input. Treat AI as a co-pilot, not an autopilot. Embed review checkpoints and tradeoff discussions. Just as innovation processes have stage gates, so should AI analyses.

• Make judgment measurable. Assess and develop decision-making under ambiguity from entry-level roles onward. Research shows the best learning strategy for this is high-fidelity simulations.

• Start earlier. Leadership development must begin far earlier in career paths, because judgment, not just knowledge, is the new differentiator.

What’s emerging is not just a flatter hierarchy, but a more distributed sense of judgment responsibility. To thrive, organizations must prepare their people not to outthink AI, but to out-judge it.

P R E S S R E L E A S E
Stockholm, May 5, 2025

STOCKHOLM, SWEDEN – BTS Group AB (publ), a leading global consultancy specializing in strategy execution, change, and people development, has agreed to acquire Nexo Pesquisa e Consultoria Ltda., Nexo, a boutique consulting firm headquartered in São Paulo, Brazil.

Nexo has been growing continuously since it was founded in 2017. With revenues of approximately 12 million Brazilian Reales (approx. 2.1 million USD) in 2024, and a highly capable team of 21 members, Nexo has built a strong reputation for delivering transformative projects in strategy, innovation, leadership, and culture.

Nexo collaborates with a great portfolio of clients across sectors such as financial services, consumer goods, and technology, assisting both local and global companies in navigating uncertainty, unlocking creativity, and activating strategy through people. Their work encompasses culture transformation, leadership development, employer value proposition, innovation culture, and vision alignment – supported by proprietary methodologies and frameworks.

BTS currently operates in Brazil servicing both local and multinational clients with a team of 13 employees. By acquiring Nexo, BTS not only increases the Group’s footprint in Brazil but also adds significant capabilities in culture and transformation services. Nexo’s client base has limited overlap with BTS, creating strong growth potential and synergy opportunities.

“Nexo is known for helping leaders and organizations tackle some of the most complex, human-centered challenges with creativity, empathy, and strategic clarity and the Nexo team is loved by their clients,” says Philios Andreou, Deputy CEO of BTS Group and President of the Other Markets Unit. “Their products and services complement and elevate our existing offerings, especially in culture transformation, and we are thrilled to welcome the Nexo team to BTS.”

“We’re excited to join BTS. We’ve long admired BTS’s approach and unique portfolio to support large organizations and leaders in connecting strategy with culture across the organization,” says Andreas Auerbach, co founder of Nexo. “Becoming part of BTS, allows us to scale our impact and bring more value to our clients while staying true to our values and culture,” adds Mariana Lage Andrade, co-founder of Nexo.

Upon completion of the transaction, Nexo’s business and organization will merge with BTS Brazil. Nexo’s founders will assume senior management roles in the joint operation.

The acquisition includes a limited initial cash consideration. Additional purchase price considerations will be paid between 2026 and 2028, provided Nexo meets specific performance targets. A limited portion of any such additional purchase price considerations will be paid in newly issued BTS shares. The transaction is effective immediately.

BTS’s acquisition strategy continues to focus on broadening our service portfolio, expanding our geographic reach, and enhancing our capabilities to support future organic growth in a fragmented market.

For more information, please contact:
Philios Andreou
Deputy CEO
BTS Group AB
philios.andreou@bts.com

Michael Wallin
Head of investor relations
BTS Group AB
michael.wallin@bts.com
+46-8-587 070 02
+46-708-78 80 19

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Work today is too complex for individuals to succeed in isolation. Almost every critical decision, innovation, or transformation depends on teams working effectively together. Leaders rely on their teams to deliver results. Teams, in turn, rely on their leaders to create the conditions where performance is possible. This exchange, what leaders need from their teams, and what teams need from their leaders, sits at the heart of what we call teaming.

When teaming is strong, leaders get what they need from their teams [creativity, resilience, execution] and teams get what they need from leaders [direction, support, and the conditions to thrive]. It’s how strategy becomes action, how uncertainty becomes opportunity, and how businesses stay competitive in a fast-changing world.