Key Session Takeaways

In our recent AI leadership experience, we brought together talent and people leaders to explore how the talent lifecycle could change in the age of AI, and what it takes to move from experimentation to real impact. Here are some of the ways BTS partners with organisations globally to put this into practice.
Australia/ Sydney
Virtual (Past Event)

Resources

Session takeaways: recap of the presentation highlights.

Try BTS Verity: AI-powered roleplay practice using text, audio and video bots.

AI Mindset Diagnostic: access the full diagnostic: 40+ questions, open responses, and a detailed team report by emailing events-aus@bts.com

AI & Innovation Solutions

Leadership in the Age of Hybrid Intelligence Duration: 1 day

A simulation-based experience where leaders take the future for a test drive. They practice orchestrating across humans, machines, and data to achieve business outcomes building the specific behaviours and skills needed to lead effectively in an AI-driven environment.

Digital Leadership Journeys Duration: Multi-module journey

A modular, experiential learning journey that builds leaders' mindsets and skills to navigate digital transformation with confidence. Pathways blend simulations, case studies, coaching, and applied projects scaled to different seniority levels and organisational priorities.

Data-Driven Decision Making Duration: 1 day

A business simulation that builds leaders' ability to turn data into business value. Leaders practice a practical decision framework, learn to separate signal from noise, and strengthen data-driven storytelling, all linked to real business KPIs.

Putting AI into Action Duration: Half day

A map-based experience with hands-on prompt engineering work. Teams learn how AI works, how to think strategically about using it and how to communicate confidently about AI across the organisation.

Putting Agentic AI into Action Duration: Half day (or 90-min virtual lite version)

A hands-on experience that takes teams beyond basic prompting into redesigning workflows as multi-agent workflows. Teams learn best-practice prompt sequences, context engineering, and how to reimagine their work with agentic AI.

AI Future-Ready Mindset Diagnostic Duration: 30 min to 2 hrs incl debrief + team alignment

A diagnostic that measures the mindset shifts that determine how ready an organisation is to harness AI. It combines quantitative survey data with qualitative insights to pinpoint strengths to build on, risks that could hold adoption back, and practical next steps delivered as a clear report with recommendations.

Co-Creating AI Duration: ~10-week phased program

A phased program where we partner with client teams to co-create AI solutions that work in their actual jobs, not just in theory. Starting with discovery and targeted interviews, teams tackle real business problems and build working AI applications with support from our team and technology partners. Quick wins come first, followed by bolder pilots, then scaling and embedding what works with governance, capability transfer, and playbooks so AI adoption becomes repeatable, internally owned, and tied to business results.

Future Back Thinking Duration: 2 hours to 1 day (modular)

A portfolio of "future-back thinking" modules that help strategic teams see around corners, stress-test assumptions, and translate signals of change into focused strategic decisions. Teams build techniques for developing strategic foresight and a culture of continuous adaptation.

Magic in ---- Experiences Duration: 5 days

An immersive week-long innovation experience that helps senior leaders break free from "business as usual" and explore what bold transformation looks like. Blending hands-on working sessions, AI-powered foresight, and outside-in speakers and company visits, leaders leave with the principles, techniques, and tools needed to build a culture of innovation.

Questions about this event?

Reach out to

Related Content

5
min read
Building Capabilities That Make AI Stick: The Reinvention Conversation in Canada
A practical conversation for Canadian leaders navigating the people and organizational side of AI.

lorem ipsum

Portraits of two men, one with a brown sweater and balding hair, the other with grey hair wearing a suit jacket and light blue shirt, both smiling.
5
min read
Unlocking the Real ROI of AI in the Workplace
Excellence at Work Podcast in partnership with Brandon Hall Group™

lorem ipsum

5
min read
From AI Adoption Metrics to Performance Impact: The Next Step in AI Reinvention
Most organizations have the tools. Few have cracked how to change the work itself. BTS experts share what real AI transformation looks like — and what HR and L&D can do to drive it.

lorem ipsum

Inisights
May 5, 2026
5
min read
Eight weeks, 24 countries, one diamond: The pattern behind our applied AI breakthrough.
Part 2 in a series. BTS CEO Jessica Skon shares stories and lessons on what made the first Applied AI diamond spread, what it felt like inside the team that built it, and what we see as clients adopt this approach.

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

Here’s the field-notes version.

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

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

What it felt like inside the flywheel.

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

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

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

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

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

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

The pattern: Explore, expand, institutionalize, renew.

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

Explore.

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

Expand.

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

Institutionalize.

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

Renew.

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

What had to be true for this to scale.

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

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

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

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

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

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

What we’re seeing across clients.

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

If this resonates, let’s talk.

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

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

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

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

Inisights
April 29, 2026
5
min read
Why we didn't wait: A CEO's field notes from two years of applied AI
AI value is compounding, not linear. BTS CEO Jessica Skon shares how experimentation fuels flywheels, and how breakthrough “AI diamonds” emerge and scale.

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 make any 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.

Person using a smartphone with a laptop on the table, overlaid with digital AI and chat interface graphics.
Inisights
March 17, 2026
5
min read
Conversazioni incentrate sul cliente abilitate dall’IA
Perché la maggior parte delle riunioni di vendita non riesce a creare valore e come costruire intenzionalmente urgenza, fiducia e slancio in ogni conversazione.

La maggior parte delle riunioni di vendita non fallisce.
Semplicemente non porta a una decisione.

Ed è lì che si perde valore.

I clienti di oggi sono più informati, più selettivi e hanno meno tempo.
Non hanno bisogno di altre presentazioni di prodotto.

Hanno bisogno di conversazioni che li aiutino a stabilire le priorità, decidere e andare avanti.

Eppure, il 58% delle riunioni di vendita non riesce a creare valore reale.
Non perché i venditori manchino di capacità, ma perché le conversazioni non sono progettate per far avanzare le decisioni.

“I clienti non agiscono su ogni esigenza che riconoscono.
Agiscono quando qualcosa diventa una priorità.”

In questo breve executive brief scoprirai:

  • Perché la maggior parte delle conversazioni informa… ma non porta all’azione
  • Cosa spinge davvero i clienti a stabilire priorità e muoversi
  • Come creare urgenza senza compromettere la fiducia
  • Il passaggio dal presentare soluzioni al facilitare decisioni
  • Cosa distingue le conversazioni che si bloccano da quelle che accelerano il progresso

Se i tuoi team stanno affrontando trattative bloccate, decisioni ritardate o un pipeline lento, questo brief ti aiuterà a capire il perché e cosa fare in modo diverso.

Scarica l’executive brief e scopri come progettare conversazioni che portano davvero a decisioni.

Financial advisor showing a tablet to a middle-aged couple discussing documents and a calculator on a table.
Client Stories
March 18, 2026
5
min read
Redesigning work with AI: Moving from access to impact at scale
What happens when teams stop experimenting and start applying AI to their most critical workflows? See how BTS partnered with a large U.S. health insurance organization to bring teams together in focused design sprints and shift from incremental efficiency gains to meaningful, scalable impact.

lorem ipsum

Client Stories
October 28, 2025
5
min read
Translating at scale: Building a better client experience with AI on the team
See how BTS uses AI to transform translation and localization to deliver faster, smarter, and more personal client experiences worldwide.

lorem ipsum

Client Stories
October 17, 2025
5
min read
AI-first business simulations: A BTS innovation story
BTS is redefining experiential learning with AI-first business simulations that accelerate strategy, scale leadership impact, and drive real transformation.

lorem ipsum

Podcast
May 1, 2026
5
min read
The hardest parts of leadership in the age of AI
How do leaders move fast with AI without losing direction, alignment, or judgment? This episode tackles the real leadership challenges of the AI era.

lorem ipsum

Podcast
March 27, 2026
5
min read
The economics of attention in an AI world
Explore the forces quietly reshaping every attention driven business, the real threat facing Hollywood from AI, and the impact of infinite content creation.

lorem ipsum

Portrait of a smiling man in a navy suit and white shirt against a pink background with text 'Fearless Thinkers a bts podcast'.
Podcast
March 19, 2026
5
min read
AI - Del hype a la acción - los retos de ejecución
¿Cómo pasan las empresas del hype de la IA a la ejecución real? Michel Meléndez de BBVA y Carlos Schulz exploran el nuevo imperativo del liderazgo.

lorem ipsum

Whitepapers
April 24, 2026
5
min read
How to scale coaching with AI, without diluting its impact.
How do you scale leadership coaching with AI without losing its impact? We break down the design principles, ethics, and human-AI balance that make it work.

lorem ipsum

Whitepapers
April 8, 2026
5
min read
Las 3 inteligencias humanas que marcarán el liderazgo en la era de la IA
A medida que la IA amplía las posibilidades, los líderes que crean valor empresarial no se definirán por lo que saben, sino por cómo piensan.

lorem ipsum

Whitepapers
April 8, 2026
5
min read
The 3 human intelligences that will define leadership in the AI era
As AI expands what’s possible, the leaders who create enterprise value will be defined not by what they know, but by how they think.

lorem ipsum

News
April 27, 2026
5
min read
ABC | La IA se convierte en el caballo de Troya para la filtración de datos

La adopción acelerada de la IA impulsa la innovación, pero también abre la puerta a filtraciones de datos y riesgos de ciberseguridad. En su reciente entrevista para el medio, Isaac Cantalejo advierte del peligro de esta nueva “amenaza” digital

lorem ipsum

News
April 20, 2026
5
min read
Factor Humano | El AI Act europeo pone el foco en RRHH: cinco prácticas de riesgo en el uso de IA para evaluar talento

El AI Act europeo redefine el uso de la inteligencia artificial en RRHH, clasificando como alto riesgo herramientas de selección, evaluación y promoción. Un nuevo escenario donde integrar la IA de forma ética y segura se convierte en prioridad estratégica.

lorem ipsum

News
March 4, 2026
5
min read
Adnkronos | I Bts, i cinque profili It più richiesti nel 2026

Quali saranno le figure tecnologiche più ricercate nel 2026? Secondo BTS, ingegneri AI e Machine Learning, esperti di cybersecurity e architetti cloud saranno tra i profili IT più richiesti nel mercato del lavoro.

lorem ipsum