AI ADVISORY

BUILDING AN AI-EMPOWERED TEAM OF TEAMS®


Helping organizations keep up when the work, the tools, and the competition all change faster than the org chart. We map how your work actually runs, build AI into it on the stack you already have, and hand it off to your own people.

Artificial Intelligence Readiness & Enablement

What Kind of Organization Are You Putting AI Into?

 

It's the question we ask every organization we work with.

At the Joint Special Operations Command (JSOC), General McChrystal's task force had the technology to move fast. What made it work was a culture where thousands of people shared what they knew and acted on it. AI closes the information and speed gaps the way technology did then. Building a culture that shares and acts is still the organization's job.

Team of Teams changes how your organization is structured, how it meets, who decides what, and how its leaders lead, so it can act on information at the speed AI now delivers it.

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A Team of Teams Is More Important Than Ever in the AI Era


Team of Teams was built for a world where information outran decision-making. AI puts every organization in that world. When each team adds AI on its own, every team gets faster at its own goals, the handoffs between teams get thinner, and more decisions pile up at the top.

common purpose

Every team can now do more, faster, in whatever direction it already points. Without one objective, you end up with hundreds of agents running and no one who can say what they are for.

TRUST

People now rely on output they can't fully check. They act on an answer when they can see where it came from and when their leaders use it first.

collaboration

Shared Consciousness

AI can get the right information and the right insight to the right person. Without a shared picture, what matters gets buried, every team works from its own version, and AI just adds noise.

EMPOWERED EXECUTION

Good answers can now reach the people closest to the problem, all at once. If every decision still climbs the chain, AI just builds a longer line at the top.

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What We Do

 

 

Our AI work extends what we already do well. Technology pays off only where people change how they work, so that is where most of our effort goes.

  • We map how your organization really works. Our network analysis has always shown who works with whom and where work stalls. Now it maps the AI systems in that network too, and the brief names what to fix first - including when the answer is nothing yet.
  • We set decision rights for AI. Decision rights have always been part of our work. Now we set them for machine output too: who may act on it, what has to be checked first, and who owns the call.
  • We adapt your operating rhythm to work with AI. We design the meetings where decisions get made, and AI changes what those meetings need to do: what gets prepared before anyone walks in, what the room decides, and how often it has to meet. We train the people who will own each system and stay through the first months to measure what changed.
  • We build AI into the work, on your stack. We redesign a workflow with AI in the loop and build it on the technology you already own, with a named owner on your side.
  • We develop leaders for the AI era. Our Academy has taught leaders to run a Team of Teams for years. Our AI programs help them lead one now: how to bring their people through the change, what it costs to wait, and practical frameworks for deciding what to hand to a machine, what to keep with people, and who owns the call.

 

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Why McChrystal Group

Why Clients Hire Us

  • We have spent more than a decade helping organizations change how they share information and make decisions.
  • We focus on the part that usually stalls. Most AI programs slow down once the AI systems are in place, and our work is what comes next: new habits, new meetings, and clear ownership.
  • We measure whether it worked by what changed in how people work.

How We Work with Your Technology

  • We build on the platforms and systems you have already chosen.
  • When a project needs engineering at scale, we bring in partners and keep that work inside our scope.
  • Everything is built so your people can run it after we leave.
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Build an operating model that keeps running after the pilot ends.

Tell us where AI is already showing up in your organization, and we'll show you where we would start.

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