Can Build Capability run standalone or only as part of the 90-Day AI Expedition?

Both. Some organizations come to this as part of the 90-Day AI Expedition, where it builds on strategy and role design work. Others come with a specific capability gap already identified and are ready to move on it now. Either works.

Build Capability | Learning Design On AI and With AI | Birgit Gosejacob

Q: Is Build Capability a training program?

No. Training is something that happens to people. What gets designed are environments where people actively explore, apply, and build capability around their own real work. The difference shows up immediately in the results.

Q: Can you work with regulated industries or organizations with strict data policies?

Yes. Capability programs have been designed and delivered for large government agencies with strict data security requirements. Specific constraints around data, tools, or platforms are designed around from the start.

The map is new.

Your people need to know how to read it.

More strategic.

More creative.

More human.

Real capability requires a designed environment - one built around how your people actually work, think, and need to grow. That's not training.

That's architecture.

Let's built CapabilityBook your free AI Clarity Call

Build Capability | Learning Design On AI and With AI | Birgit Gosejacob

The map is new.

Your people need to know how to read it.

More strategic.

More creative.

More human.

Real capability requires a designed environment - one built around how your people actually work, think, and need to grow. That's not training.

That's architecture.

Let's built CapabilityBook your free AI Clarity Call

Most organizations have AI activity. Almost none have AI capability.

A few people experiment.

Some teams find workarounds.

Everyone else waits to be told what to do.

Nothing transfers, nothing compounds, and six months later you're still having the same conversation about adoption.

The problem isn't motivation or tools. It's that no one has designed the conditions for capability to actually build - whether that means helping your people work confidently with AI, or using AI to build something far more effective than what you have now.

Either way, that's a design problem. And it's the one most organizations haven't solved.

Most organizations have AI activity.

A few people experiment.
Some teams find workarounds.
Almost none have AI capability.
Everyone else waits to be told what to do.

Nothing transfers, nothing compounds, and six months later you're still having the same conversation about adoption.

Either way, that's a design problem. And it's the one most organizations haven't solved.

The question is never whether your people can learn.

It's whether anyone has built them a real environment in which to do it - and whether that environment is as intelligent as it could be.

The question is never whether your people can learn.

It's whether anyone has built them a real environment in which to do it - and whether that environment is as intelligent as it could be.

The most overlooked capability in your organization is probably already there.

New roles demand new skills.

But the person closest to ready for that role is often already on your team - coaching a sports team on weekends, running community workshops, teaching others something they've mastered outside of work.

Those aren't hobbies. In a redesigned organization, they're assets.

Part of what I do is spot that potential and design a targeted path that bridges where someone is to where a new role needs them to be.

A specific bridge for a specific person stepping into a role that was built for them.

The capability stays in the business long after the engagement ends.

The most overlooked capability in your organization is probably already there.

New roles demand new skills.

Those aren't hobbies. In a redesigned organization, they're assets.

Part of what I do is spot that potential and design a targeted path that bridges where someone is to where a new role needs them to be.

A specific bridge for a specific person stepping into a role that was built for them.

The capability stays in the business long after the engagement ends.

Every organization is at a different point on the map - with

different goals ahead,
different paths available,
and different people to get there with.

Where you are, where you're headed, and who's making the journey with you - that's what shapes everything I build.

There's no off-the-shelf version of this.

Sometimes it's building your people's capability to work with AI.
Sometimes it's using AI to build better capability environments for entirely different challenges - onboarding, role transitions, culture change.
Often it's both.

Capability Roadmaps

Before anything gets designed, we map the current state - what capability is missing, what's already in the room, and what kind of environment will move things. What I build and deliver emerges from that.

Not a one-size-fits-all methodology.

Designed around your people, your culture, and your business.

Every organization is at a different point on the map - with

different goals ahead,
different paths available,
and different people to get there with.

Where you are, where you're headed, and who's making the journey with you - that's what shapes everything I build.

There's no off-the-shelf version of this.

Sometimes it's building your people's capability to work with AI.
Sometimes it's using AI to build better capability environments for entirely different challenges - onboarding, role transitions, culture change.
Often it's both.

Capability Roadmaps

Not a one-size-fits-all methodology.

Designed around your people, your culture, and your business.

Live Labs

Explore it.

Apply it.

Walk away with results.

Live, virtual, and fully hands-on.

Every participant on their own device, working on their own real use case - not a hypothetical example someone else designed.

Labs can cover prompting principles, AI tools, and whatever capability the organization needs to experience firsthand.

The learning is immediate because the application is immediate.

Built for You

A learning environment designed around your organization.

Nothing off the shelf.

Onboarding journeys, capability programs, role transition support, blended experiences - custom built from scratch around where your organization is and where it needs to go.

Avatars, guidance bots, adaptive content - AI is woven into the build itself, making the environment significantly more effective and engaging than anything that could be put together without it.

They're the difference between a course people forget and one that actually changes behavior.

Any subject.

Any challenge.

Built smarter from the start.

Live Labs

Explore it.

Apply it.

Walk away with results.

Live, virtual, and fully hands-on.

Every participant on their own device, working on their own real use case - not a hypothetical example someone else designed.

Labs can cover prompting principles, AI tools, and whatever capability the organization needs to experience firsthand.

The learning is immediate because the application is immediate.

Built for You

A learning environment designed around your organization.

Nothing off the shelf.

Onboarding journeys, capability programs, role transition support, blended experiences - custom built from scratch around where your organization is and where it needs to go.

Avatars, guidance bots, adaptive content - AI is woven into the build itself, making the environment significantly more effective and engaging than anything that could be put together without it.

They're the difference between a course people forget and one that actually changes behavior.

Any subject.

Any challenge.

Built smarter from the start.

This isn't L&D with an AI coat of paint.

I've been designing blended learning for organizations for nearly a decade.

The difference now is that I can bring AI into the design itself - not just as the subject, but as part of the learning environment.

Avatars.
Chatbots.
Adaptive pathways.
Interactive content that responds to the learner.

Combined with deep expertise in how organizations adopt and use AI, the result is capability that's built to stick - whether your people are learning to work with AI, or learning anything else in an environment that AI has made significantly better.

This isn't L&D with an AI coat of paint.

I've been designing blended learning for organizations for nearly a decade.

The difference now is that I can bring AI into the design itself - not just as the subject, but as part of the learning environment.

Avatars.
Chatbots.
Adaptive pathways.
Interactive content that responds to the learner.

Certified blended learning designer - nearly 10 years building environments that work, now supercharged with AI

AI-enhanced content: avatars, guidance chatbots, interactive modules

Organizational context-first - diagnosis before any design begins

Delivered for large regulated institutions and agile SMBs alike

Lab-based formats that generate real results in real time

20 +

Years of

Online Facilitation

10 +

Years of

Blended Learning Design

Certified blended learning designer - nearly 10 years building environments that work, now supercharged with AI

AI-enhanced content: avatars, guidance chatbots, interactive modules

Organizational context-first - diagnosis before any design begins

Delivered for large regulated institutions and agile SMBs alike

Lab-based formats that generate real results in real time

20 +

Years of

Online Facilitation

10 +

Years of

Blended Learning Design

"I don't deliver training programs.

I deliver experiences and build environments where capability actually grows."

Your questions - honest answers

Is this training?

No. Training is something that happens to people. What I design are environments where people actively explore, apply, and build capability around their own real work. The difference shows up immediately in the results.

What does the organization actually walk away with?

Capability that lives inside your team, not a report that gets filed. By the end, your people know how to apply AI to their own work, you have a clear picture of where it's creating value, and the environments we built together are ones your team can keep using and building on. The output is a more capable organization, not a consultant's deliverable.

How much of our team's time does this require?

Less than you'd expect, and we design around your operational reality from the start. Labs are built around real work, not taken out of it, so time in the room is time spent on actual challenges, not theoretical exercises. The exact shape depends on your organization, but disruption to day-to-day operations is always part of the design conversation before we begin.

Do you deliver this yourself?

es and no. The design is entirely mine. The live labs and all facilitated experiences I run personally. Where I may bring others in is on the technical side, depending on the platforms and infrastructure your organization uses, I'll pull in specialists from my network for implementation. You always work with me on the thinking, the design, and the room.

Can you work with regulated industries or organizations with strict data policies?

Yes. I've designed and delivered capability programs for large government agencies with strict data security requirements. If your organization has specific constraints around data, tools, or platforms, we design around them from the start.

What if we already have an L&D team?

Good - that's an asset, not a complication. Part of what I design are environments your own people can sustain and build on after the engagement ends. An existing L&D team makes that transition stronger.

Can this run standalone or only as part of the Expedition?

Both. Some organizations come to this as part of the 90-Day AI Expedition, where it builds directly on the strategy and role design work in the earlier terrains. Others come with a specific capability gap already identified and are ready to move on it now. Or they want to explore opportunities AI is offering in general and make their people curious. Either works.

Do participants need any AI experience before a lab?

None. Labs are designed to meet people exactly where they are. The starting point is always their own work and their own use cases - not an assumed level of technical knowledge.