Revamping performance management

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.

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

That’s where culture comes in.

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

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

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

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

You see it in:

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

And in the everyday:

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

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

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

A case in point

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

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

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

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• Outdated knowledge-sharing systems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

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

The power of pivotal moments

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

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

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

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

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

Breaking old habits and building new ones

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

They focused on three shifts:

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

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

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

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

Scaling change through experimentation

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

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

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

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

The results:

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

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

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

Four common patterns to surface

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

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

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

Shining a flashlight on your invisible “monsters”

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

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

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

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

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

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

When to bring in reinforcement

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

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

Here are a few signs it might be time to partner

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

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

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

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.