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Three decisions that changed everything.

Two years ago, we made three deliberate decisions about how BTS would move with Applied AI.

We would become our own Customer Zero.

While others were building strategies, defining governance, and waiting for clarity, we made a different call: we decided not to wait. Not because the stakes were low, but because they were high. And because in a space evolving this quickly, clarity wouldn’t come from planning. It would come from movement.

So instead of starting with a roadmap, we started with three principles:

1. No top-down mandate. The people closest to the work figure it out.
2. IT must evolve from gatekeeper to enabler - leading AI trials and fast experimentation.
3. Don’t wait for certainty.

We set the organization in motion, and once we did, things started to move quickly.

What if we started this company today?

Waiting for certainty is itself a choice, and it’s costing companies more than they realize.

We started where we knew the work best: our simulations. No perfect plan, just teams moving, trying, and iterating.

Simulations are core to who we are at BTS. Companies that simulate don’t just make better decisions they execute faster and build more engaged cultures.

The team asked a simple question:

"What if we were to start our company today?”

That question started the flywheel.

They asked IT for a few licenses and started building - vibe-coding, writing agents, and testing tools - moving at a pace that would makeany VC-backed start-up smile.

The messy middle.

At first, the team was underwhelmed._‍

The early reports were blunt:

“Not good with math.”

“Poor graph capabilities.”

The team wasn't discouraged.

They kept tinkering - jumping between tools, staying on top of new releases, experimenting constantly.

This was a small team, across 24 countries, building off each other’s ideas. Laughing at crazy creations. Breaking things. Iterating in a sandbox alongside real clientwork.

Each cycle produced something:

• A sharper scenario
• A faster build
• A more powerful simulation

The flywheel was turning, and it was generating something real.

When the diamond appeared.

Then something shifted.

The team moved into client trials across five countries. They figured out ISO compliance and built the architecture to handle the complexity, the “spaghetti.”

And what emerged wasn’t incremental:

• What used to take weeks started happening in days.
• Limited creativity started to feel like unlimited innovation.
• Clients became self-serving.
• Agentic simulations were built directly into client systems for real-time updates and preparation.

This was our first AI diamond - a high-impact outcome created by many cycles of experimentation compounding into real value.

It only appeared because we kept the flywheel turning, each cycle increasing the odds that something would break through.

95% adoption in eight weeks.

Then it was time to take the AI diamond global.

BTS is decentralized and highly entrepreneurial. We operate across 24 countries and 38 offices, where local teams have real autonomy.

And historically? That’s meant a low appetite for adopting something built somewhere else and pushed from the center.

So we expected resistance.

Instead, something surprising happened.

In the first eight weeks, we saw 95% adoption across our global footprint.

It felt completely different from our own digital initiatives, ERP implementations, top-down rollouts of the past.

This moved on its own. Why? 

We realized it didn’t start with a framework or a model, it started with a feeling.

The feeling of being at the leading edge of one’s craft and profession.

• Joy
• Excitement
• Pride

As we watched this play out across teams it stopped feeling like isolated wins.

There was a pattern to it. A repeatable, organic, innovation motion.

And the flywheel didn’t stop with simulations.

It spread across finance, sales enablement, legal, operations, and client delivery. Some cycles led to small improvements, and others revealed new diamonds.

Not becausewe planned for them, but because we built the conditions for people to find them.

The question I'd ask any CEO right now: Is your flywheel turning, or are you still waiting for the perfect plan?

In part 2, I’ll share the key success factors behind the breakthrough, and what we’re now seeing across more than 120 global clients.

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Organizations have long wanted to scale coaching, but have been limited by cost and capacity. With AI, that's beginning to change —new platforms are making coaching more accessible, flexible, and available on demand, extending support beyond a select group of leaders to entire populations.

For talent leaders, this shift creates both opportunity and complexity. With greater reach comes a new set of trade-offs: how to balance access with depth, flexibility with accountability, and efficiency with meaningful development.

The limits of unlimited (coaching)

Unlimited coaching sounds like the obvious answer. Remove the barriers, give everyone access, let people engage on their own terms. What's not to like?

In practice, quite a bit.

When coaching has no defined structure or cadence, engagement tends to become episodic - people show up when something feels urgent and step back when it doesn't. The coaching relationship never quite deepens. Conversations cover ground but don't build on it. And the development that was supposed to happen keeps getting pushed to the next session, and the next.

Three patterns emerge:

1.  Sporadic engagement over sustained development. Without a rhythm to anchor the work, coaching becomes reactive. Clients bring whatever is most pressing that week rather than working toward something larger. Progress happens in bursts, if at all.
2. ‍Insights that don't compound. Great coaching reveals patterns over time - things a client can't see in one session but can't unsee after several. Without continuity, and without a consistent coaching relationship to hold the thread, each conversation starts close to zero.‍
3. Outcomes that are hard to measure. No milestones. No defined endpoint. No clear way for the organization, or the client, to know whether it's working. Activity fills the gap where impact should be.

The result is a model that's easy to scale and hard to defend. Which is exactly the problem talent leaders are navigating right now.

The relationship is the lever

Decades of research into what makes coaching work keeps arriving at the same answer: it's the relationship. Not the platform, not the methodology. The relationship.

When a coach and client build trust over time — developing shared language, returning to the same themes with increasing depth — something shifts. Conversations get more honest. Insights stick. The client starts doing the work between sessions, not just during them. That's when coaching becomes genuinely transformative, and it can't be rushed or replicated in a one-off session.

The ICF and EMCC are clear on this: continuity is what dives outcomes. The coaching engagements that produce lasting change are the ones where each session builds on the last, not the ones that simply offer more access.

Three principles make that possible: Consistency, Continuity, and Completion.

1. Consistency

The foundation everything else is built on.

The temptation when designing a coaching program is to treat flexibility as a feature — let people book when they want, swap coaches freely, engage on their own schedule. But frequent coach changes reset the clock. Every new coach has to earn trust, learn context, and find their footing with the client. That's time spent getting started, not getting somewhere.

A stable coaching relationship works differently:

• The coach starts to see around corners — patterns the client can't see themselves
• The client stops performing and starts being honest
• The relationship itself becomes a source of accountability, not just the sessions

Consistency doesn't constrain the work. It's what makes the deeper work possible.

2. Continuity

What turns a series of sessions into genuine development.

Without continuity, coaching tends to be additive at best- each session offers something useful, but nothing compounds. With it, the work builds on itself in ways that can't happen in isolated conversations.

What continuity makes possible

• A limiting belief surfaced in session three becomes a thread that runs through the rest of the engagement
• A behavioral pattern the client couldn't see at the start becomes impossible to ignore by the end
• Space opens up for the harder work - the kind that requires sitting with discomfort across multiple sessions, not resolving it quickly and moving on

That slower, deeper work is where lasting change actually happens. It doesn't come from more sessions. It comes from the right sessions, in the right order, with the same person.

3. Completion

The most underrated principle of the three.

In a world of unlimited access, there's no finish line, and without one, it's surprisingly hard to know what you're working toward, or whether you've gotten there. A defined endpoint changes the entire shape of an engagement.

A clear endpoint

Creates urgency and focuses every session on what matters most

• Shifts the question from "what should we talk about this week?" to "what do we need to accomplish before we're done?"
• Gives both coach and client a body of work to look back on, not just a log of conversations

For talent leaders, this is also what makes coaching legible as an investment. Sessions logged is an activity metric. A cohort of leaders who completed a structured engagement and can articulate what changed, that's a result.

Don't just scale it, design it (here’s how)‍ 

The opportunity in front of talent leaders right now is significant. The organizations that will get the most from this moment are the ones that treat coaching design as seriously as coaching delivery.

Practical design decisions

• Define the arc before you launch: set the number of sessions, the cadence, and the goals upfront, not after people have already started booking
• Protect the coaching relationship: Make coach switching the exception, not the default, and design your program to discourage unnecessary re-matches
• Build in milestones: create structured check-ins at the midpoint and end of each engagement so progress is visible to both the coach and the organization ‍
• Separate on-demand support from developmental coaching: Use AI-enabled tools for in-the-moment guidance, and reserve structured engagements for the deeper work ‍
• Measure completion, not just activation: Track how many people finish an engagement, not just how many start one

Questions to pressure-test your design

• Does every participant know what they're working toward before their first session?
• Can your coaches see enough context about a client's journey to pick up where they left off?
• Would you be able to show, at the end of a cohort, what changed, and for whom?

Access opened the door. Intention is what makes it worth walking through.

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Across industries, safety is undergoing a structural shift. What was once managed primarily as a compliance function or performance metricis increasingly understood as a reflection of how organizations are designed, led and continuously improved.

In complex and high-risk environments, safety is notachieved through stronger enforcement or additional programs alone. It emerges from the interaction between leadership behavior, operational design, decision environments and the organization’s capacity to learn and adapt.

Drawing on global safety science, Human & Organizational Performance (HOP), research on psychological safety, and our cross-industry transformation experience, eight key shifts are shaping the next evolution of safety culture.

1. Safety as a Core Organizational Value

Safety is moving beyond being treated as a shifting priority. Priorities compete. Values guide.

When safety becomes a core organizational value, it shapes decision-making, trade-offs under pressure, operational planning and resourceallocation. Safety becomes the natural consequence of how the system operates,rather than a campaign layered on top of production.

This shift also redefines the role of safety functions, from compliance policing to enabling safe and sustainable performance.

2. Learning as an Operating Discipline

Organizations are embedding continuous learning into everyday operations. Rather than focusing only on what failed, they exploreweak signals, near misses, operational friction and successful adaptations.

Learning becomes a core capability, accelerating insight, strengthening resilience and improving decision quality.

3. Leadership Ownership at All Levels

Safety culture is increasingly recognized as a leadership capability, not solely an HSE responsibility.

Executives define direction and tone.
Middle managers translate expectations into operational decisions.
Supervisors shape the daily decision environment.

Successful organizations translate safety expectations into concrete leadership behaviors and daily routines, creating clarity and alignment across levels.

4. Psychological Safety as Infrastructure

A strong safety culture depends on speaking-up environments.

When employees feel psychologically safe, weak signals surface earlier, risk trade-offs are openly discussed and learning accelerates.

Psychological safety is operational infrastructure , not a soft topic.

5. Amplifying What Works

There is growing recognition that most work is completed safely, often under variable conditions.

Studying success reveals adaptive capacity and strengthens resilience. This complements traditional incident analysis by reinforcing expertise and confidence.

6. Aligning Work-as-Imagined and Work-as-Done

Procedures and plans rarely capture operational complexity perfectly.

Leading organizations reduce the gap between policies and operational reality by inviting front line input and empowering stop-work authority.

The goal is better alignment between design and execution.

7. Designing for Human Decision-Making

Incidents often stem from predictable cognitive biases such as normalization of deviance, production bias, overconfidence and hindsight bias.

Recognizing these decision traps shifts focus from blaming individuals to strengthening decision environments.

8. Cultural Evolution as a Long-Term Capability

Sustainable safety culture requires integration rather than reinvention, structured capability journeys rather than one-off programs, and measurable behavioral impact rather than activity metrics.

Organizations that succeed:

• Integrate safety into existing leadership and operational systems
• Design earning journeys that support day-to-day application
• Measure behavioral change and operational outcomes
• Reinforce progress consistently over time

Cultural evolution is a sustained commitment to system alignment and capability building.

Conclusion

The evolution of safety culture is less about adding controls and more about strengthening systems.

Safety is something organizations produce — through leadership clarity, operational design, psychological safety and continuous learning.

Those who embed these capabilities consistently will not only reduce risk. They will build more resilient, sustainable and high-performing organizations.

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Sources & references:

• WorldSteel Association. Safety Culture & Leadership Fundamentals.
• Norsk Industri (2025). Safety Leadership and Learning: A Practical Guide to HOP.
• D. Parker et al. / Safety Science 44 (2006). Development of Organisational Safety Culture

• Hollnagel, E. (2014). Safety-I and Safety-II: The Past and Future of Safety Management.
• Hollnagel, E. (2018). Safety-II in Practice: Developing the Resilience Potentials.
• Conklin, T. (2012). Pre-Accident Investigations: An Introduction to Organizational Safety.
• Edmondson, A. (2018). The Fearless Organizations
• Reason, J. (1997). Managing the Risks of Organizational Accidents.

• Resilience Engineering research (Hollnagel,Woods, Leveson and others).

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Most sales meetings don’t fail.
They just don’t lead to a decision.

And that’s where value is lost.

Today’s customers are more informed, more selective, and more time-poor.

They don’t need more product pitches.
They need conversations that help them prioritize, decide, and move forward.

And yet, 58% of sales meetings fail to create real value.

Not because sellers lack capability, but because conversations are not designed to move decisions forward.

“Customers don’t act on every need they recognize.

They act when something becomes a priority.”

 In this short executive brief, you’ll discover:

• Why most conversations inform… but don’t drive action
• What actually makes customers prioritize and move
• How to create urgency without damaging trust
• The shift from presenting solutions to enabling decisions
• What separates conversations that stall from those that accelerate momentum

If your teams are experiencing stalled deals, delayed decisions, or slow pipeline movement, this brief will help you understand why, and what to do differently.

Download the Executive Brief and learn how to design conversations that actually move decisions forward

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Client need

A large U.S.-based health insurance organization operating at the center of a complex national ecosystem had already made a serious investment in enterprise AI. Leadership was not experimenting at the edges. They were leaning in.

Capability and commitment existed across the organization, but unevenly. Some teams were already pushing boundaries. Others hadn't yet found their footing. Most of the gains had come in personal productivity. Valuable, but the core work itself had not yet fundamentally changed. The opportunity was to go deeper, to move from AI-assisted individuals to AI-reinvented workflows.

Across the health insurance landscape, pressure was intensifying. Medicaid and government program contracts were becoming more competitive. Decision cycles were faster and more analytics-driven. Clinical evidence was evolving rapidly. Regulatory scrutiny was high. Security risks were constant. AI was no longer a future conversation. It was a present expectation.

Inside the organization, world-class experts were still constrained by manual processes.

Specialized teams were synthesizing large volumes of complex, fast-moving information, working to keep pace with an environment where the inputs never stopped changing. The work required deep expertise and judgment, and it also demanded repetitive processing that consumed days when it needed to take hours.

Other teams faced pressure where speed and precision directly influenced competitive outcomes. Manual approaches were creating lag at exactly the moments when faster insight mattered most.

Across functions, the pattern was consistent. Highly trained professionals were spending valuable time on low-leverage tasks, stitching together data, transforming files, and correlating inputs that AI could handle.

Leadership understood that AI licenses alone would not create advantage. To compete in an increasingly analytics-driven insurance environment, expertise had to scale. Insight had to move faster. Teams needed to reinvent how core work happened.

Solution

BTS partnered with the organization to move from AI access to AI application.

Through a series of focused design sprints, intact teams worked on their highest-value workflows using our GROUNDING → EXPERIMENT → BUILD → AMPLIFY methodology. The structure was simple and disciplined. Set context. Experiment quickly. Build against real work. Create a path to scale.

Participants brought their actual work into the room. Analytical frameworks. Competitive and operational documents. Risk and intelligence inputs. Data pipelines.

No generic demos. No abstract hypotheticals.

The turning point came when AI began working on their actual content.

Research syntheses that previously took days began structuring themselves in minutes. Competitive analysis that once required manual review surfaced patterns instantly. Data transformation workflows streamlined in real time.

Skepticism shifted to possibility.

We positioned AI as augmentation, not replacement. In a sector defined by professional expertise and accountability, that framing was critical. The goal was to elevate expert judgment, not automate it away.

Some teams left with working prototypes. Others left with detailed blueprints aligned to enterprise privacy and security requirements. Another team took away a re-prioritized set of additional tools to incorporate into a HIPAA-compliant environment. Every team left with a redesigned workflow.

Results

In five days, more than 100 leaders advanced 30 priority use cases tied directly to operational performance and competitive growth.

Early outcomes included:

• Significant reduction in manual research synthesis and data preparation
• Faster, more structured competitive intelligence to support high-stakes decisions
• Clear implementation pathways aligned to security and regulatory constraints
• A scalable model for continued AI-enabled workflow reinvention

Just as important was the mindset shift.

Participants stopped viewing AI as a tool sitting outside their work and began treating it as embedded infrastructure for how work gets done.

“This showed immediate relevance to our work.”

“Now I understand what’s actually possible for my team.”

“We just accomplished in two hours what used to take us two months.”

In a U.S. health insurance market where insight, speed, and precision directly influence who wins and who grows, the organization moved decisively from AI access to AI advantage.

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Client need

Safety in the transportation industry has often been treated as a set of rules to follow and boxes to check. But one Spanish railway organization saw an opportunity to redefine safety as something far greater, a core value embedded into the culture of their company at every level.

This bold vision demanded more than compliance. It required a cultural transformation to challenge outdated behaviors, inspire teams, and empower leaders to embrace and model a safety-first mindset. For years, the organization had been working to foster a culture that prioritized protection over profit, setting new behavioral standards across the industry.

To accelerate this shift, the organization partnered with BTS to design a leadership development program that dismantled old practices and equipped leaders with the tools, insights, and behaviors needed to bring their vision to life.

• Deconstruct existing mindsets to enable cohesive change.
• Identify barriers preventing progress.
• Equip leaders with practical behavioral knowledge and tools.

Solution

BTS partnered with the organization to design a leadership journey that would reshape not just processes but perspectives, fostering a workplace where physical and psychological safety were paramount. Over eight months, the project team conducted interviews with leaders and focus groups to uncover critical behavioral insights and tailor the program to the organization’s unique needs.

Participants explored essential themes, including:

• Embedding safety into daily decision-making.
• Cultivating greater awareness of safety risks.
• Understanding the influence of their leadership on safety outcomes.
• Leading by example to set a cultural standard.
• Building trust, commitment, and open communication within their teams.

The program unfolded in three distinct phases to drive lasting behavioral change:

1. Workshop preparation
   Participants began with a self-assessment to uncover personal “safety blind spots” and mind traps. This phase, delivered through a custom online platform, helped leaders reflect on their current practices and prepare for the transformational journey ahead.

3. Safety workshop
   The one-day, immersive workshop was designed to spark deep conversations about safety culture, challenge ingrained mindsets, and equip participants with actionable strategies for change. Leaders engaged in real-world scenarios to explore the implications of their decisions and practice new behaviors. The day concluded with collaborative debrief sessions, leaving participants with practical tools to implement their insights immediately.
4. Implementation in action
   To sustain momentum, the post-workshop phase extended over six months, offering six targeted activities. These activities reinforced key lessons, encouraged team collaboration, and provided ongoing support for integrating safety-first behaviors into daily routines.

The leadership program was delivered to 1500 participants over 66 workshops in seven locations across Spain.

Results

To measure results, the project team created a resource map evaluating progress.  

Average completion rate of Activities One–Three: 57 percent. (One: 78.21%; Two: 53. 01%; Three: 40.57%)

A post-workshop survey was sent to participants, reporting on the following metrics:

• Average satisfaction — 4.7/5.
• Trainer’s evaluation — 4.9/5.
• NPS — 82 percent.
• “Saw improvement in safety alignment” — 93 percent.
• “Integrated safety tools in daily roles” — 82 percent.
• “Identified new initiatives for improving safety” — 77 percent.
• “Mitigated team/peer mind traps” — 93 percent.
• “More aware of risk in daily roles” — 98 percent.
• “Identified a normalized risk to work on” — 92 percent.

Testimonials

• “Many of the methodologies and tools not only help to improve safety but can also be used to improve operational or organizational processes.”

• “It has put us in front of the mirror of how we are today in terms of safety culture, opening our eyes to our development areas. Very participative and practical.”

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Over the years, BTS has expanded its global footprint through thoughtful acquisitions and collaborations, bringing new creative capabilities and local expertise into the fold. From digital design studios to leadership consultancies across Europe, Asia, and the Americas, we’ve built a community that blends shared values with local perspective. That diversity has become one of our greatest strengths, shaping how we design and deliver learning that feels deeply personal everywhere we work.

Whether someone is in a leadership journey in Singapore, a coaching program in São Paulo, or a strategy workshop in Stockholm, the goal is always the same: to make the experience feel like it was made just for them.

Many of those experiences live on Momenta, BTS’s digital experience platform, powering journeys like Coaching, Multipliers, and other core programs.

As those experiences grew, so did the need for nuance. Every journey had to feel local, not just sound translated. Tone, humor, and cultural context have always been central to the BTS approach, and as demand expanded across formats and regions, our translation model was ready for its next evolution.

In early 2024, the team began exploring how AI could help. Rather than treating technology as the destination, we saw it as a catalyst, a way to rethink translation and deliver richer, more customized client experiences at scale. That curiosity sparked one of BTS’s most ambitious AI-first experiments, led by our Global Product Enablement Function team in partnership with our global network of linguists and translators.

Shifting to AI-first

The next step was finding the right place to experiment. Enter Phrase, a cloud-based translation management platform that quickly became our test lab. Phrase brings every part of the translation process into one place, from machine translation engines to human review, terminology management, and workflow tracking. It gives our linguists, designers, and project teams a shared space to collaborate, test ideas, and learn.

Over the next few months, two key discoveries reshaped how we think about translation, and ultimately, how we work.

Key discovery 1: Making AI a teammate

We began with a clear goal: make translation faster and more consistent. Using Phrase, AI handled the first drafts while our linguists refined them. Quickly, we realized there was potential for AI-value that went far beyond speed.  

With AI completing the first 80% of the work in a fraction of the time, our linguists could focus on what matters most: nuance, tone, and cultural resonance. The relationship evolved from oversight to collaboration, AI structured and scaled, humans shaped and elevated.

The result was more than efficiency. It was better work, created by people and technology learning to amplify each other.

Key discovery 2: Turning a roadblock into a redesign

Next came a design challenge. Phrase, like most translation tools, struggled with text embedded in graphics, a hallmark of many BTS learning experiences. Instead of forcing the tool to adapt, we changed how we created.

We began designing with translation in mind: simplifying visuals, reducing text, and using modular components that could flex across languages. The constraint sparked better design, easier to scale, more consistent, and more inclusive for every audience.

Key discovery 3: Integrating systems for scale

With people, AI, and design in sync, the last barrier was process. Managing translations between Phrase and Momenta still required manual effort.

To fix that, we built an API integration linking the two platforms. Now, files move automatically, progress is tracked in real time, and everything stays connected.

That integration turned our workflow into a unified ecosystem, fast, transparent, and ready to scale globally.

Business impact

Just 18 months ago, our translation reviews lived in double-column Word docs. Today, we work in a fully connected, AI-first ecosystem. Each project feeds the next, refining prompts, tone profiles, and design patterns, so our translation process keeps getting faster, smarter, and more aligned with BTS’s voice.

Speed and quality. Translation cycles that once took months now wrap up in weeks, cutting turnaround times by over 40%. Phrase’s tools and AI-powered workflows accelerate production while maintaining quality through expert-approved reuse, glossaries, and automated quality checks. Even complex formats like videos and animations are localized faster, with AI supporting linguists at every step.

Smarter workflows. The integration between Momenta and Phrase automates project transfers and tracking, saving an estimated 2.5 hours per project. Teams across language, digital, and project management now collaborate in one streamlined environment.

Human focus. Our linguists remain the engine of quality and innovation. With AI managing repetitive tasks, they focus on nuance and meaning, and go further by creating specialized GPTs, training databases, and testing translation engines to continually raise the bar.

When BTS invented business simulations in the 1980s, leadership development was mostly theoretical – case studies, lectures, and frameworks about what good decisions looked like. Simulations changed that. They let leaders learn by doing, stepping into a realistic version of their business to test strategy, make decisions, and see the impact before the stakes were real.

Since then, simulations have evolved from spreadsheets to digital platforms to immersive virtual experiences that capture the complexity of leading in today’s world. Now, large language models and agentic AI are opening a new frontier, one where simulations evolve as fast as the world they reflect and experiential learning scales with the pace of change.

Creating space for exploration

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Test quickly, abandon what doesn’t work, and share what you learn.
– Jessica Skon, CEO, BTS

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A handful of simulation experts were pulled out of their day-to-day work and given the freedom to set their own direction. They had the authority to shape the roadmap and the protection to explore bold ideas without fear of critique. The brief was simple: go figure out what’s possible.

They had cover to fail fast, freedom to explore, and permission to get a little messy. Early wins were interesting but small. AI could draft faster, automate a few things – helpful, sure. Transformative? Not yet.

The breakthrough came when we stopped trying to bolt AI on to what we already did. We rebuilt our simulation platforms, our processes, and tools from the ground up around AI. Suddenly it wasn’t just about micro-gains & efficiencies, the canvas of possibility was much larger.

From experimentation to acceleration

So, we tested. Some tools showed promise, others, not so much. Every experiment taught us something. Each “failure” made us sharper about where AI could actually help, and where it would just get in the way.

What began as small experiments turned into a new way of working, a process and platform working as one.

AI now accelerates the first 80% of the work, the structure, synthesis, and early drafts, freeing BTS consultants to focus on the high-impact moments that drive behavior change: dilemmas, trade-offs, and conversations that build conviction.

Our new AI simulation platform and AI-First development process operationalizes that process:

• Enabling live co-creation and branching edits with clients
• Applying light guardrails for quality and security
• Integrating with enterprise systems for compliance and control

AI accelerates, people transform. That combination is what makes BTS… BTS.

Clients feel the impact in four ways

1. Fast spin-ups for focused needs
   For targeted challenges like coaching a customer conversation, debriefing a safety incident, aligning a sales team, we can now stand up bespoke simulations in days, not weeks. Teams co-create live; scenarios adjust in the room; relevance is immediate.
2. Enterprise simulations for strategy alignment
   For multi-round, high-fidelity simulations, AI accelerates the structure without compromising quality. BTS experts still craft the dilemmas and trade-offs that drive conviction.
3. A broader platform portfolio
   Beyond enterprise simulations, we now support conversational practice, skill drills, workflow redesign, and company or market modeling, helping clients choose the right tool for each need.
4. On-demand, without the risk
   Clients can use our AI platform for self-authored micro-sims, where speed and iteration matter most. Our toolchain scaffolds the flow, enforces guardrails, and keeps quality high.

The best model is flexible: enable where DIY shines, co-build for complex challenges, and experts lead end-to-end when outcomes matter most.

What clients are already seeing

• Weeks to hours: Work that once took six weeks was delivered as a high-fidelity experience in just 13 hours, specific enough to engage a CEO on first pass.
• Lean, agile teams: Projects that required seven consultants now take two, with no loss in quality or impact.
• Live collaboration: Simulations are built with clients, not for them, adjusted in real time during design and delivery.

The result: faster delivery, deeper relevance, and experiences that scale across an enterprise without losing the human touch.

The bigger picture

BTS simulations have always given leaders a safe place to wrestle with real dilemmas. AI hasn’t changed that, it’s expanded the canvas. By rebuilding how we design and deliver simulations, we’ve removed the trade-off between speed and substance.

Focused needs can now be met in days. Complex transformations can move at the pace of business. Clients can engage however they choose, DIY, co-create, or end-to-end, with BTS expertise guiding every step.

We’re still early in this chapter, just like our clients. But the direction is clear: faster, smarter, more scalable experiential learning, anchored in human judgment, strategic alignment, and the craft that defines BTS.

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