A brave new world: What AI means for leadership and culture

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

‍

When OpenAI launched GPT-5, the reaction was muted. No flashy new tricks or “wow” demo moment. If you stopped there, you might think nothing’s really changed.But the real story is bigger and far more important for leaders. OpenAI didn’t just release an updated model, they triggered a collapse in the cost of top-tier intelligence across the market. That cost shift will accelerate innovation in ways we’re only beginning to imagine, and it’s happening already.It’s important to note that there are two main ways people and companies use GPT-5.

1. Through the ChatGPT app, individuals and teams interact with the AI directly, writing prompts, asking questions, or creating content. It’s plug-and-play, no coding required, and now GPT-5 is the default model even for free users (with some usage caps).
2. Through the API, companies connect GPT-5 to their own systems or products so it can power customer support tools, automate large-scale analysis, or run AI features inside other apps.

The headline here is that OpenAI cut GPT-5’s API price to $1.25 per million input tokens and $10 per million output tokens numbers that would have seemed impossible not long ago. In simple terms, tokens are chunks of words. A million tokens of input is roughly 750,000 words, which is the equivalent of several full-length books. “Input tokens” are the text you feed into the model, and “output tokens” are the text it generates in response.The new API pricing makes a big difference for large-scale, embedded use cases. Companies can now process massive amounts of data, run more experiments, and serve more customers for a fraction of the cost. Workloads that once felt budget-breaking are now affordable, opening the door to AI innovation at an entirely new scale.Combine this new cost structure with the decision to make GPT-5 the default in ChatGPT, and you have a dual shift: high-powered AI is dramatically cheaper for heavy users and instantly accessible to hundreds of millions of people, including your competitors. Intelligence that once required careful budgeting and scarce expertise is now abundant and that abundance changes the game entirely.

When intelligence gets cheap, the game changes

Just a couple of years ago, AI was expensive and resource-intensive, so leaders had to be selective about where and how they applied it:

• Licensing and compute costs were high: Running large models at scale through an API could cost thousands of dollars a month, even for modest use cases.
• Access was limited: The best models were behind higher subscription tiers or enterprise contracts.
• Specialized expertise was needed: Integrating AI often required dedicated data scientists or engineers, which added cost and slowed speed to value.
• Budget trade-offs were constant: Leaders had to choose a few high-priority projects for AI investment and delay or reject others.

In other words, leaders had to ration AI usage just like any other scarce, expensive resource.In a low-cost world, the constraint shifts from budget to imagination. The central question stops being “Can AI do this?” and becomes “How can we reimagine the way we work if this is possible everywhere?”That’s when innovation accelerates. Experiments that once required hard trade-offs can now be run in parallel, testing ten ideas for the cost of one. AI copilots can quietly monitor, reconcile, and draft decisions in real time, expanding your team’s capacity without adding headcount. Entire archives or research libraries can be parsed in minutes. Intelligence can be embedded into the devices your people already carry, putting expertise within reach at any moment.

Two ways leaders commonly get this wrong

For some, the old assumption still holds: AI feels too expensive or too specialized to deploy widely. Their only exposure has been high-cost pilots, niche specialist teams, or consulting projects where each experiment felt like a big-ticket gamble. That may have been true last year it’s not true today.For others, the issue isn’t what they say, it’s what their strategy reveals. They’ll tell you they know AI is now cheaper and more accessible but they still budget and resource it like a premium feature. It’s reserved for high-priority initiatives or “innovation” workstreams, rather than being built into core workflows and systems.In both cases, the result is the same: they’re underestimating how radically the playing field has changed. Intelligence is now abundant. The gate is no longer money it’s imagination and execution speed. The organizations that win will be those that treat AI not as an experimental add-on, but as infrastructure integrated deeply enough that the question isn’t whether to use AI, but how to keep evolving it as the cost curve continues to drop.Strategies built without this shift in mind risk missing opportunities in a competitive landscape that’s already moving forward. The advantage now belongs to those who experiment, learn, and adapt faster than the cost curve drops.We’d love to help you with your AI strategy: Contact us to get started.

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.

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

‍

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.