For organizations

AI adoption is a human challenge, not a technical one.

Most teams already have the AI tools. What they're missing is the confidence, the skills and the judgment to use them well, and leaders who set the tone. I help organizations build that, from a first session to capability that lasts.

Book a call → Want the overview first? See how we can work together
Elena Jaeger leading a session
  • 20+ years of transformation and talent work, almost 13 of them at Deloitte
  • 35+ countries with transformation programs
  • 100+ clients supported through complex change
  • 300+ team development sessions, and counting
  • 1,000+ people reached with AI training, and counting

The gap

Tools rolled out. Policies in place. The ROI still isn't showing up.

"We rolled out the tools. Adoption is patchy."

A license for everyone doesn't change how anyone works. Most of the team is still guessing, or quietly avoiding it.

"People are anxious, or overconfident. Rarely in between."

Some fear AI will replace them, others trust it too much. Both are risky without judgment.

"Leaders are meant to guide this. Nobody showed them how."

Your managers set the tone for AI whether they mean to or not, and most feel underprepared.

This gets fixed by building real capability across your organization, at the right level for each group, not by another all-staff email.

How I see it

What decides whether AI pays off. Five beliefs behind my work.

1

Value starts with a real business problem.

I don't believe in AI for the sake of AI. Value shows when a whole task or a whole piece of work is rethought end to end. You can measure it in time, quality, cost or risk, and people feel it because their work gets easier.

2

AI multiplies the leadership that is already there.

It starts at the top: a clear direction, expectations that match what people can actually do today, and executives who walk the talk. Leaders and managers create psychological safety: the time and the room to try things in small steps, change course quickly and make mistakes. Without that, it doesn't happen.

3

An honest story brings people along.

Every leader needs a story for their own area: what stays, what changes, what is new, including what it means for jobs. It must be told before every answer is known, and adapted as the answers come in.

4

People stay in the lead.

AI drafts, analyzes and proposes. People own the quality, the judgment and the decision, within clear guardrails. They know when not to use AI at all, and they keep building their own expertise.

5

Capability grows in the work.

Training is the smallest part of learning. So everything I design ends with something tangible that people take straight into their real work.

Five beliefs. Four steps to put them to work.

How I work

The AI Capability Hub. Begin at any step.

Four steps around your people, from the first conversation to capability that lasts. Programs for individual leaders change individuals. I work with a whole organization: the top team, the managers and the teams, on their own work. Pick a step on the ring, or let it walk you through.

I work with a network of trusted experts such as Power Island, my main delivery partner for leadership and team development.

Step one

Start

Open the conversation.

Give people a shared picture of what AI means for their work in your organization, built on your context and your AI guidelines.

You leave with Awareness, and one easy next step for every team.

Example formats

  • Keynotes and working sessions for summits, learning days, offsites and team events
  • Leadership inputs of 60 to 90 minutes
  • AI Lunch and Learn: one hour, for anyone curious
The topics →

Step two

Build

Build the skills and the judgment.

People learn to use AI well in their own work, and leaders learn to lead AI-assisted work with confidence and judgment. Every module ends in action.

You leave with Confidence in using AI in your daily work, and a team action plan.

Example formats

  • AI literacy: online, a full day or several days, depending on your people and your goals
  • AI x Leadership with Power Island: workshops shaped to your leaders
  • Live online series for a whole manager population
  • AI as a practice and coaching partner: role plays and self-coaching, with ready-to-use agents

Step three

Apply

Real work, real business problems.

AI applied to real work, with people in the lead: in leaders' own daily work, and in workflows rethought around a business problem worth solving. Measured in time, quality, cost or risk.

You leave with AI that shows a real difference in your workflows.

Example formats

  • 1:1 mentoring for executives: AI in their own daily work
  • 33A AI Design Sprint® on a real problem, with the manager and the team
  • Use case ideation and prototyping with a team or a function
  • Use cases in small groups over several months

Step four

Anchor

Make it stick.

Short, regular formats that keep AI on the agenda at every level, in the meetings and rhythms you already have. Usually as one partnership over four to six months or longer.

You leave with A rhythm that outlasts the program.

Example formats

  • Ongoing 1:1 mentoring for senior leaders
  • Short AI updates in leadership sessions, offsites and strategy sessions
  • A community of practice for managers and teams
  • A regular AI Lunch and Learn for everyone
  • AI coaching and practice partners that people use whenever they need them

What makes sense for you? We work it out together, and I help you design it.

Talk about where to begin →

Every step runs online or in the room, in multiple languages, built on your context and your AI guidelines.

Topics

What leaders ask about now. And what we can work on.

Every topic works as a single input, as a module in a series, or as a workshop.
I adapt it to your context, your tools and your AI guidelines.

Leading the work

Honest communication

What do I tell my team about AI when I don't have all the answers yet?

Example content
  • Telling the story of what stays, what changes and what is new
  • Having the honest conversation about roles and jobs
  • Saying what you know, what you don't, and when you will know more
  • Being open about when AI helped

Judgment and decisions

How do I keep my judgment when AI always has an answer?

Example content
  • Asking better questions, and testing the answers you get
  • Spotting workslop, and knowing when to dig deeper
  • Making decisions with AI support, and keeping accountability with people
  • Keeping your own critical thinking sharp

Human and AI teams

Who does what, and who grows into what, now that AI is part of my team?

Example content
  • Agreeing team norms that make people feel more capable, not less
  • Seeing which skills shift, and what that means for jobs
  • Growing young talent while AI takes over entry-level tasks
  • Learning from those further ahead, while keeping the playing field level

The human side

Uncertainty and empathy

What is AI stirring up in my team, and how do I lead through it?

Example content
  • Noticing what AI stirs up in people, and listening first
  • Meeting fear and overconfidence in your team
  • Staying steady and visible while the picture is still open
  • Redefining your own role as the work changes

Room to think

Where do I find room to think, and time for AI?

Example content
  • Staying healthy and clear-headed when everything gets faster
  • Creating room for reflection and real exchange with peers
  • Making time for AI, even when your team is ahead
  • Using AI to take load off, and deciding what to stop

Psychological safety and mistakes

How do I make it safe to ask, try, disagree and say what went wrong?

Example content
  • Going first, so "I don't know how yet" is normal to say
  • Reacting to bad news in a way that keeps people talking
  • Telling a learning mistake from a breach of the rules
  • Reviewing mistakes without blame, and sharing what you learn

Making AI pay off

Compliance and experimenting

How do I balance clear guardrails with room to try?

Example content
  • Clarifying what is allowed, not allowed and open to try
  • Deciding when to ask compliance, and when to go ahead
  • Setting the pace of adoption, with safeguards that hold
  • Creating the conditions for experiments that are quick and lead somewhere

The expectation gap

What is realistic to expect from AI, and from my people, right now?

Example content
  • Taking stock of how your team uses AI today
  • Agreeing how AI use should grow, step by step
  • Matching expectations to what people can do today
  • Building a plan to close the gap

From use cases to workflows

Where does AI really pay off, in my own work and in my team's?

Example content
  • Asking where time, quality, cost or risk are really at stake
  • Picking a business problem worth solving
  • Testing it against your goals and how the work runs today
  • Rethinking the whole workflow, with people in the lead
Elena Jaeger, smiling

Which of these questions is on your table right now? We can start there.

An example program

AI x Leadership. With Power Island.

Three example workshops for three levels of leadership. We shape the topics, the length and the number of workshops to your leaders and your context.

Most organizations already have AI tools and policies. What they lack is leaders who can navigate both, with confidence, clarity, and human judgment. Three workshops, one leadership journey, built with Karin Johansson Bächle. Half or full day, tailored to your context, standalone or as a program.

All leaders

01 · AI in Practice: Confidence, Judgment & Leadership

Your organization has AI guidelines. Now what? This bridges policy and daily leadership reality, so leaders stop avoiding AI and start owning it.

  • Translate AI guidelines into real leadership decisions
  • Pinpoint where AI creates real impact in your context
  • Guide your team within boundaries, with confidence
  • Reduce anxiety, build judgment, create value
Mid–upper managers

02 · Leading Human/AI Teams: Still the Leader in the Room

What changes in leadership when AI is in the room, and what stays irreplaceable? Built on real workplace scenarios.

  • What human leadership uniquely delivers, now more than ever
  • Where AI helps, and where it needs your judgment
  • "Work-slop": when polished output hides poor thinking
  • Reclaiming feedback that no longer sounds like you
  • Leading a team that seems more AI-fluent than you
Senior leaders & execs

03 · Setting Direction: The AI Narrative You Lead

Executives set the tone for AI adoption, whether they mean to or not. Build a clear, confident narrative that enables rather than unsettles.

  • Align the exec team on where you actually stand
  • Clarify what stays distinctly human as AI becomes everyday
  • Bridge performance expectations and readiness
  • Handle governance, ethics and risk
  • Accountability: who owns the decision?

What makes it stick

What turns training into capability.

Direction, guardrails and story

Executives who walk the talk. Clear guardrails for responsible use. An honest story for each area: what stays, what changes, what is new. Change and workforce planning join process redesign from day one.

Goals

AI capability is part of the goals, from the priorities leaders set to the growth goals people set for themselves, so it becomes part of the work.

Measurement

A shared picture of skills, team-level usage data and a few survey items. Usage is a signal; value in the work is what counts.

Learning in the work

Resources people find when they need them, exchange among peers, and every format ending in a team action. Most learning happens on the job, so the system is built for it.

Elena Jaeger, portrait

Who is behind this

More than 20 years of transformation. Now with hands-on AI.

Hi, I'm Elena Jäger, founder of Future of Work. Two questions drive my work. What do people and leaders need when the way work gets done changes? And where is work heading: what does tomorrow look like, and how can we shape it?

I come to them with more than twenty years of transformation and talent work. Almost 13 of those years were at Deloitte, where I was most recently a Director in the Swiss Human Capital practice. At the end of 2019 I founded Future of Work, with a focus on future skills, high-potential programs and leadership and team development. I have worked on transformation programs in more than 35 countries, supported more than 100 clients through complex change and led more than 300 team development sessions (and counting).

I have been working with AI since 2023, and I am an avid user, builder and explorer myself: what I bring into the room is what I use every day. I write weekly about AI and give regular keynotes. With my ORSC training I look at a team as a system: what happens between people when AI joins the work. For larger programs I work with a network of senior experts: Power Island for leadership and team development, and experts in people strategy, governance and finance, resilience, legal and compliance transformation, responsible AI, and EU AI Act and data protection.

  • Certified Organization & Relationship Systems Coach (ORSC)
  • MIT Sloan: Artificial Intelligence, Implications for Business Strategy
  • Agentic AI Bootcamp (Multi-Agent Systems), 33A
  • Certified Langdock Implementation Partner
  • Mentor, Young AI Leaders, UN AI for Good, Zurich

In their words

What people say about working with me.

One-to-one mentee

Elena has a special talent for meeting people where they are and taking away their fear of new technologies.

Business owner

Her hands-on approach and ability to simplify complex AI concepts were instrumental in streamlining processes.

AI literacy course participant

With her extensive background in business transformation and people development, Elena is the right partner to really hit the ground running with AI.

Next step

Let's talk about your organization.

Whether you lead HR, talent, AI or transformation, or you are an executive or function head: a short call to understand where your teams and leaders are, and what would actually move the needle.

Book a call →

We'll shape something that fits your context, not a template.

Not ready for a call? Take the one-pager to your leadership team.

Elena Jaeger on a call