Why a coaching mindset could be essential for leading during uncertain times

Meetings are a universal ritual in organizational life. While managers on average spend more than half their working hours in meetings, many leaders can’t shake the feeling that meetings are falling short of their potential. Are they advancing the work, or quietly draining energy? At BTS, we study teams not as collections of individuals, but as living systems. This perspective reveals dynamics that traditional methods often overlook. Rather than aggregating individual 360° assessments, we assess the team as a whole to examine how the team functions collectively. Applying that lens to one of the most common team activities (meetings) uncovers patterns worth paying attention to. Drawing on thousands of team assessments in our database, we focused on two meeting behaviors:

• Do teams meet regularly?
• Do team members leave meetings with clear accountabilities and next steps?

Our question: How strongly do these behaviors relate to overall team effectiveness?

What the data revealed

Using data from 1,043 respondents (team members and informed stakeholders) we ran a Bayesian analysis to evaluate the predictive power of each behavior. The results were striking:

• Both behaviors were linked to higher team effectiveness.
• But one mattered far more: leaving meetings with clear accountabilities and next steps was 3.9x more predictive of team effectiveness than simply meeting regularly.
• And teams that often or always wrap up meetings with next steps rated 0.66 points higher on a 5-point scale of team effectiveness than teams who sometimes, rarely, or never close with accountabilities - that's almost a full standard deviation higher (0.96 sd)

Meetings aren’t the problem, muddy outcomes are.

Teams often default to frequency, setting cadences of check-ins or standing meetings. Our data suggest that what differentiates effective teams from the rest is not how many meetings they hold, but what comes out of them. A team that meets less often but ends each session with clear accountabilities will outperform a team that meets frequently but leaves outcomes ambiguous. In other words, meetings aren’t inherently wasted time; they become wasted time when they don’t translate into aligned action.

A simple shift that pays dividends

The good news: improving meetings doesn’t require radical redesign. Small changes reinforce accountability and dramatically increase the value extracted:

• Close with clarity. Reserve the last 5–10 minutes of every meeting to confirm: What decisions have been made? Who owns what? By when? This habit shifts meetings from “discussions” to “decisions.”
• Make commitments visible. Use a shared action log, team board, or project tracker so next steps are transparent, and progress is easy to follow. Visibility builds accountability.
• Assign a “Closer.” Rotating this role signals that closing well is everyone’s responsibility. The Closer ensures the team doesn’t drift into vague agreements, but leaves aligned and ready to act.

When teams adopt these habits, the difference is tangible: less rehashing of the same topics, faster progress on priorities, and a stronger sense of shared ownership. These small shifts compound quickly, making meetings not just more efficient, but more energizing and effective. In a world where teams face relentless demands and limited time, focusing on how meetings end may be one of the fastest ways to improve how teams perform.

Co-authored by Cilsy Harris, Senior Vice President, CIO Insurance & Service Applications, The Hanover Insurance Group

At one time, most of us probably thought that a year into the pandemic we’d be back in the office and the virtual solution we employed as an emergency measure would be a thing of the past. However, it’s become very clear that virtual is here to stay – either as companies adopt fully-remote business models, or as is likely to be the case more often, they move to hybrid models that blend the best of remote and in-person work. Regardless of which model they choose we think smart companies will preserve the best aspects of the virtual experience to continue to create equality in communication and facilitate greater sharing of ideas.

This virtual environment has been a great equalizer. In many ways, our ability to meet and work virtually has helped us eliminate pretenses and share our authenticity to create more human connection. We’ve become less self-conscious and more down to earth in our business interactions. We’ve learned more about our colleagues’ personal lives, enabling us to recognize and truly treat each other as humans, not simply as the means by which work gets accomplished.

Creating big wins for important business goals

This new environment has created six big wins for achieving important business goals:

1.  Driving engagement/connection:

Authentic connection is the secret sauce for senior executives. It’s what drives trust, engagement, and execution. Our research shows authentic leaders build trust and put others at ease by sharing their own emotions and experiences, and by revealing stories and life lessons that resonate with others’ own situations.

A byproduct of the virtual world is that some of the barriers to sharing have been removed. The close-up camera creates eye-to-eye contact and a more personal interaction. Our insight into each other’s daily lives outside the office through the view of the camera has changed the tone and ease of our connection.

Virtual meetings also foster authentic connections across geographically dispersed teams in the organization in more efficient and meaningful ways. Regularly scheduled meetings with teams in Europe, Middle East and Asia/Pacific in the morning and those in the Americas in the afternoon, create cross-pollination of ideas and connections that previously would have required weeks of travel.

2.   Enabling collaboration among large groups, across geographies:

Dick Lavey, executive vice president of Agency Markets at The Hanover, relays how forums are being reinvented. “Picture a traditional sales planning meeting, held in a large, cavernous hotel room with 40+ people spread out in a big square, using microphones,” he says.

“It was intimidating for the presenter and difficult for the audience to track the dialogue. Now, this same meeting is transformed into an intimate and engaging experience for both the presenters and the meeting participants.”

Well-facilitated meetings create forums for dialogue that lead to better outcomes. The outcome of this shift is understanding that for certain events and forums, choosing a virtual model can create greater intimacy and engagement. Choosing the right forum for the purpose is our call to action.

The virtual world has delivered the impetus to rethink and reimagine how we design forums to optimize attendance and participation, and to offset some of the challenges presented by geographic location. “Events that once were considered feasible only when they were held in person, like our annual Innovation Expo, saw big gains in attendance across all geographies,” according to Will Lee, EVP and Chief Information and Innovation Officer at The Hanover.

“It also has enabled all attending Hanover employees to experience the event in the same manner, regardless of location. One of the most significant outcomes of this new approach was creating a live example of how we can design environments to make space for innovative thinking that cut across the entire organization and include all roles and levels.”

We are also able to meet with more people, more quickly. At the Hanover, our agent road shows, no longer limited by time and space, can be held on back-to-back days–in Georgia one day, Upstate NY the next, and Washington State the very next day. This meeting line-up would have been impossible in person. “We ‘cover more ground’ by not covering any ground,” says Lavey.

At BTS, we’re hosting highly collaborative senior executive team meetings and leadership development programs that enable leaders to create greater impact. After only a few half days, global executive teams decide strategic direction, tackle sticky issues, form agreement on how to better work together, make important decisions, and create strategic action plans–launching the organization on a new trajectory.

3.   Attracting talent:

For Lee, finding great talent has gotten a real boost with hybrid operating models, and at The Hanover, we are seeing this have a meaningful impact. As we’ve eliminated geography as a defining factor for those hard-to-find roles in security, innovation, and even executive leadership, we’ve become an attractive employer to a much larger pool of talented candidates. Candidates are now able to choose roles based on company culture and specific opportunities, without being restricted by the proximity of the job to their homes.

4.   Retaining top talent:

A client recently told me that he lost a great employee because this person was assured a role with another company in a work-from-home arrangement. Top employees have demonstrated great commitment to their work, high productivity and skillful leadership while enjoying the greater work/life balance that work-from-home enables. This has become quite important to many people of all ages, especially working parents, employees who care for elderly parents, and those helping family members with physical and mental health issues. Remote work is an increasingly valuable way to attract and retain great talent.

5.   Creating efficiencies:

Even reimagining how products are launched has delivered more tangible benefits than we previously thought possible. At The Hanover, our virtual launch events have attracted much higher attendance and generated strong satisfaction ratings. At BTS, we’re able to help more clients in a single day and our clients appreciate spending less time traveling.

6.   Improving interactions:

Lastly, the equalizing effect has improved many daily interactions as well.

• We’re all the same on video, take up the same space, and our stature at the table is the same. No one is at the head and no one has a second-row seat.
• Rather than having some in the room and some on video, we’re all in the same room, and we’re able to meet with our global teams, on equal footing, at any time.
• Those with differing communication and work styles, such as introverts and extroverts, find the capabilities of collaboration technology suit their ability to participate either by chat, raising their hand, or amplifying the comments of another person. Everyone can contribute and be heard.

As many companies transition to their future work models—whether they are fully-remote or hybrid—the virtual experience and confidence we have gained over the course of the pandemic will help us be even more efficient and effective.Many employees are anxious to get back to the workplaces that are the backbones of our society. We look forward to seeing faces and having meaningful in-person interactions. And, we have the opportunity to make this transition in a thoughtful way, to leverage all we’ve learned about authenticity, efficiencies, and connection through technology.

Tips for maintaining the equalizing benefits of virtual work

Here are a few tips to pull through some of the equalizing benefits as we make our way back to the office:

1.   Be mindful and intentional about continuing to connect with people on a personal level.

Schedule time regularly in your calendar to get together with a small group for lunch, organize a skip-level group for coffee, or host an informal, or one-on-one conversation. Set no real agenda other than to see how people are doing, get their feedback, listen to what they are working on. Be sure to share personal stories and experiences as part of this two-way interaction.

2.   Commit to creating an environment in your meetings where everyone can contribute and be heard.

Assign an individual in your team meetings, on a rotating basis, to play the role of monitor, to encourage the quiet or remote individuals to participate more, and to reign in the overly strong voices. Make a point of sitting in a different place each time to shake up the room. Set up a team chat channel for each of your regular meetings and encourage follow up comments and conversation in between meetings, for those less comfortable sharing in the room. Participate regularly yourself to model the behavior.

3.   Don’t be afraid to keep the new virtual paradigm where it makes sense.

The lessons about productivity and efficiency, whether you are hosting a virtually based product launch, sales meeting, or training program, should inform how to choose the format. And fewer, shorter, more effective meetings will energize people and afford them more time to get more done.Now is the time to preserve the good that has come out of our virtual working environments, even as we migrate back to the traditional office. We will all be more engaged and connected as a result.

Under pressure to perform, how can leaders help their teams be successful even in unfavorable conditions?

Taking a coaching and mentoring approach is one way to ensure success. In almost every coaching conversation this year, leaders have shared the pressure they feel to deliver big results despite the reality of current economic headwinds and uncertainty in the business world.In one conversation, a leader described his experience:

“Given that people are feeling anxious about the economy, our senior leaders have set impossibly ambitious goals for 2023.”

He asked,

“What am I supposed to do? Tell my team that they can hit those goals—when I don’t believe it myself?”

This leaders’ reality is not unusual. Leaders are under more pressure than ever to hit their numbers and deliver shareholder value, even when it doesn’t seem realistic. So what can you do? In the case of this leader, he was deeply passionate about mentoring and coaching people of all ages – in fact, his favorite thing to do outside of work was coaching youth basketball.

I asked him:

“As a basketball coach, I imagine your team faces situations that feel like impossible odds. What do you do in that situation? Do you shrug your shoulders and tell the team they had better face the fact that they’re about to get their butts kicked?”

At first, he laughed but thought it over and responded:

“I tell the team, ‘Don’t look at the scoreboard; don’t look at the clock. Let’s just focus on doing the next thing right. Let’s go for a small win—make a great pass, go for a steal—and build on that.’”

While it may not be a great pass or a steal, when you’re faced with what feels like impossible conditions, look for the small wins. Then, chart a path forward with steps that the team can take over the next couple of weeks to head in the right direction. As you look to inspire others to get through a year of economic uncertainty, it can be tempting to raise the bar in the hope that people will rise to the occasion. Instead, try focusing on the everyday behaviors that lead to small wins. As these wins pile up, they create confidence, momentum, and progress.

By keeping everyone’s focus on small steps in the right direction, they might surprise themselves by ending up on a summit at the end of a rocky 2023.

1.  La Conversación Ha Cambiado

Durante los últimos dos años, el debate sobre la Inteligencia Artificial ha estado impulsado principalmente por proveedores tecnológicos y firmas de consultoría que animaban a las compañías a acelerar su adopción.

Hoy la conversación es distinta. Son los mercados financieros y los analistas quienes formulan la pregunta clave:

¿Dónde está el retorno?

Los datos muestran que los mercados apenas han incorporado expectativas de mejora de beneficios impulsados por IA en la mayoría de las compañías no tecnológicas. Mientras unas pocas grandes tecnológicas concentran las expectativas, el resto del mercado permanece bajo presión para demostrar impacto real en resultados.

Esto ya no va de ‘hype’ ni de titulares. Va de crear valor real, medible y sostenible.  

Y el diagnóstico es claro: el reto no es la tecnología, sino la adopción organizativa.

Ahí es donde está la verdadera oportunidad.

2.  Las organizaciones están chocando contra un muro — y lo saben

Tras dos años de programas amplios de IA: licencias masivas, sesiones de “IA para todos”, campañas de concienciación; muchas organizaciones se hacen la misma pregunta incómoda:

¿Y ahora qué?”

Se han lanzado iniciativas. Se han hecho pilotos. Pero el salto hacia un impacto escalable y medible no termina de llegar.

Los equipos utilizan herramientas de IA para ahorrar minutos. Algunos pilotos permanecen en fase de prueba durante meses, incluso años, sin escalar. Y la transición desde la “concienciación en IA” hacia la “IA que genera resultados de negocio” se convierte en un terreno para el que pocas organizaciones estaban realmente preparadas.

El desafío no es empezar. Es escalar.

3.  Por Qué Existe Escepticismo: La Realidad Operativa

Cuando analizamos lo que ocurre en la práctica, la realidad operativa ayuda a entender el escepticismo del mercado. En distintos sectores se repiten los mismos patrones:  

• Muchas iniciativas de IA se quedan atascadas en el piloto y nunca escalan.

• Un porcentaje importante no consigue generar impacto medible.

• Se produce una “curva J” de productividad: una fase inicial de disrupción antes de que aparezcan los beneficios.

• La “Shadow AI”, empleados utilizando herramientas personales sin gobernanza, se está convirtiendo en la norma, con los riesgos asociados.

El factor limitante no es el acceso a modelos o herramientas.
Es la capacidad y adopción organizativa: procesos, roles, gobernanza, habilidades y disciplina en la generación de valor.

4.  Qué Hacen Diferente Las Organizaciones Que Sí Están Escalando La IA Con Éxito

Las compañías que están consiguiendo escalar la IA no necesariamente tienen más presupuesto ni más talento técnico. Lo que tienen es mayor disciplina organizativa.

Hay tres elementos marcan la diferencia:

1. Desarrollan capacidades para cambiar comportamientos reales.

No se limitan a solo concienciar. No basta con webinars genéricos de “IA para todos”. Construyen capacidades estructuradas y basadas en roles:

• Directivos capaces de gobernar la estrategia de IA.

• Managers que saben rediseñar procesos y formas de trabajo.

• ‘Power users’ que lideran la identificación y el desarrollo de casos de uso.

• Y perfiles técnicos que llevan esos casos desde la idea hasta producción.

2. Construyen cultura de datos, no solo infraestructura.

Los pipelines limpios importan. Pero también importa que exista una comprensión y entendimiento compartido sobre calidad del dato, gobernanza y uso responsable de la IA.
Sin ambas dimensiones, las iniciativas alcanzan rápidamente un techo: técnicamente viables, pero organizativamente bloqueadas.

3. Gestionan la IA como una cartera de inversión, no como una lista de proyectos.

Cada iniciativa tiene un caso de negocio.
Los casos de uso se cualifican antes de asignar recursos.
El ROI se mide.

No persiguen cada tendencia. Priorizan con rigor —y detienen lo que no funciona.

Estos patrones no son teóricos ni aspiracionales. Son observables. Y replicables.

5.  El Modelo de IA de Netmind: De la Adopción al Impacto a Escala

En Netmind hemos diseñado un enfoque precisamente para cerrar esta brecha entre intención y escala.

Nuestro modelo de IA es un marco integrado para ayudar a las organizaciones a transformar el potencial de la IA en resultados medibles, trabajando de forma coordinada en tres dimensiones interdependientes:

Pilar 1 — Valor De Negocio: Hacer Que Cada Iniciativa Justifique Su Inversión

La IA sin un caso de negocio claro es solo experimentación.

Trabajamos con equipos de liderazgo para establecer una disciplina sólida de generación de valor:

• Identificación de casos de uso de mayor impacto.

• Construcción rigurosa de business cases.

• Definición de métricas y marcos de medición.

• Diseño de estructuras de gobernanza que diferencian programas estratégicos de colecciones de pilotos desconectados.

La pregunta no es “¿qué puede hacer la IA?”, sino:
“¿Qué debería hacer para nosotros y cómo sabremos que está funcionando?”

Pilar 2 — Personas Y Organización: Construir Capacidades Que Perduren

La razón más habitual por la que la IA no escala no es técnica. Es humana.

Los equipos no saben cómo trabajar de forma diferente.
Los managers no saben cómo liderar en entornos híbridos humano-IA.
Los directivos no cuentan con marcos claros para decidir dónde invertir.

Nuestra arquitectura de desarrollo de capacidades cubre toda la organización en tres niveles:

• L100 — AI Fluency: Concienciación amplia: qué es la IA, qué puede y qué no puede hacer, y cómo impacta en cada rol. Es la base. Sin ella, el cambio no se consolida.

• L200 — AI Application: Capacitación práctica basada en roles para managers y responsables de negocio: identificación de casos de uso, rediseño de procesos y liderazgo de la adopción.

• L300 — AI Specialization: Itinerarios avanzados para ‘power users’, ‘champions’ internos y perfiles técnicos que llevan los casos desde concepto hasta producción y consolidan la capacidad a largo plazo.

Un principio clave de nuestro enfoque:
autosuficiencia por encima de dependencia.

No diseñamos programas que requieran soporte externo permanente. Construimos la capacidad interna para que las organizaciones puedan operar, adaptar y escalar por sí mismas.

Pilar 3 — Tecnología Y Datos: La Base Que Permite Avanzar Con Velocidad Y Seguridad

La estrategia y las capacidades necesitan una infraestructura adecuada.

Acompañamos a las organizaciones en el desarrollo de:

• Marcos de gobernanza del dato.

• Estándares de calidad.

• Guardrails de IA responsable

permitiéndolas avanzar de forma rápida y con seguridad, sin introducir nuevos riesgos.

No actuamos como integradores tecnológicos.
Trabajamos desde la perspectiva de negocio y organización, asegurando que las inversiones tecnológicas estén respaldadas por los procesos y capacidades necesarias para generar impacto real.

6.  Cómo Trabajamos: Co-Crear En Lugar De Entregar

El modelo tradicional de consultoría en IA sigue siendo, en muchos casos, un modelo de entrega: se construye algo, se transfiere y el proyecto se da por cerrado.

La realidad de lo que suele pasar después es conocida: el traspaso falla, el equipo interno no puede sostenerlo y el piloto no escala.

En Netmind no construimos para las organizaciones. Construimos con ellas. Y desarrollamos sus capacidades para que puedan seguir construyendo sin nosotros.

Cada proyecto se diseña en torno a la co-creación. Nuestros expertos trabajan junto a los equipos internos. La metodología, las herramientas y los marcos de gobernanza se transfieren en tiempo real.

Eso es lo que hace que los resultados sean sostenibles.
Y también lo que convierte la inversión en capacidad en un activo estratégico, no en un coste recurrente.

The Bottom Line

Hoy los mercados dudan de que la mayoría de organizaciones logren capturar valor real de la IA.  

Nosotros creemos que se equivocan, que esa predicción solo se cumplirá para quienes la aborden como una herramienta más o como un simple programa formativo y no como una transformación real de cómo se trabaja, cómo se toman decisiones y cómo se genera valor.

Las organizaciones que marcarán la diferencia serán aquellas que desarrollen capacidad organizativa en IA, no solo despliegue tecnológico.

La IA no es solo una herramienta: es una nueva capacidad organizativa.
El verdadero reto ya no es empezar, sino escalar con sentido y estrategia.

En Netmind te ayudamos a dar ese salto. Descubre cómo llevar la IA al siguiente nivel → Netmind · A BTS Company

‍

‍

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.

Organizations have long wanted to scale coaching, but have been limited by cost and capacity. With AI, that's beginning to change as new platforms make 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, and 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, uncovering patterns the client can't see on their own
• 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.