In our AI Human Advantage program you develop the five human superpowers every professional needs to thrive alongside AI by strengthening the skills AI can't replace.
Talk to a Learning ConsultantA structured journey that gives new behaviors time to stick, not just be introduced.
Every session ends with practical workplace assignments your people use the very next day.
Program graduate receive the AI Human Advantage Foundation Certificate.
“I can interrogate any output — AI's, others', or my own — for what's missing, biased, or wrong before I act on it.”
Judgment is the discipline of pausing before you act on an answer — questioning what's missing, what's biased, what you might be wrong about. The stakes are higher now: fast-moving work and credible-sounding answers make it easier than ever to act on something you shouldn't.
Core questions for examining any answer — yours, someone else's, or AI's. Opens with a classic study on how people see the same event differently, then a real legal case where AI-fabricated citations cost a professional their reputation.
Higher-stakes decisions: knowing when to deliberate deeply vs. decide quickly, how to deliberate well, and how to actually close a conversation that's gone in circles.
Practical group moves for better collective decisions — rotating who speaks first, anonymous pre-reads, naming a designated challenger, running a pre-mortem before committing.
Correlation ≠ causation, Alternative explanations, Reliable sources, Evidence vs. fluency.
Availability, Bias blind spot, Confirmation — plus AI-era additions: automation bias and fluency bias.
Format changes reasoning — probabilities expressed as frequencies beat percentages every time.
Correlation ≠ causation, Alternative explanations, Reliable sources, Evidence vs. fluency.
“I build patterns of presence, candor, and care — that hold up — and become more valuable — as more communication is AI-mediated.”
Trust is built over time through presence, candor, and consistent care — patterns that hold up because they're shown, not performed. When much of what we read and exchange may be partly AI-produced, the human patterns AI can't sustain become more visible and more valuable.
Core questions for examining any answer — yours, someone else's, or AI's. Opens with a classic study on how people see the same event differently, then a real legal case where AI-fabricated citations cost a professional their reputation.
A structure for deliberate listening, then practice on the hard conversations: discovering someone leaned on AI more than expected, giving feedback when authorship is unclear, repairing when trust has wobbled.
Capability, Character, Connection — what people read when they decide whether to trust you.
Empathy, Attention, Respect — the deep structure of real listening.
AI can perform care fluently. It cannot maintain patterns of care over time.
“Did you write that, or did your AI?” A new category of relational damage when discovered after the fact.
“I own what I produce and stand behind it — deciding where AI fits, declaring what's mine, and answering for the outcome regardless of what AI contributed.”
Accountability is owning what you produce and standing behind it — regardless of who or what helped make it. It's getting harder: when AI is in the workflow, authorship blurs, decisions diffuse, and “the model said so” becomes a tempting excuse. The skill is holding the line on what's yours.
The full work cycle: should you engage AI for this task? What's yours as the work develops? How do you check what you're about to send out? The midpoint check-in opens this session.
The temptation to mentally check out when AI does the heavy lifting — and how to catch it. Big-picture ownership, follow-through, and committing publicly to standing behind your work.
You're the manager of unpredictable specialists — not one of the specialists yourself.
Three checks before engaging AI: confidentiality, ethics, capability. A quick filter that catches most avoidable mistakes.
The lens for reviewing what you hand over — all answering “is this ready to ship?
Motivational distancing — checking out while still shipping plausible-looking work.
“I question the obvious answer — declare what I'm really after before AI generates a version of it, and produce work that's recognizably mine when that matters.”
Curiosity is staying genuinely interested — questioning the obvious answer, exploring past the first option, and knowing your intent clearly enough that the work is recognizably yours. AI won't get curious on its own; you have to bring the questions. It matters more now, when fluent-but-generic output is easier than ever.
Opens with a senior expert publicly updating a long-held view on new evidence — the intellectual humility that lets new ideas land. Then practical moves for declaring intent, breaking conventional framing, and keeping your voice in the work.
Bring something you're producing this week. Declare what you're making, generate a draft, then peers review it — where did your voice come through, and where did it get smoothed away?
Declaring what finished looks like — written, specific, in your voice — before you generate anything.
“All I want to know is where I'm going to die, so I'll never go there.” — Munger.
Updating your point of view when new evidence arrives — and understanding what makes that hard.
Examine a piece of AI-assisted work: what's yours, what's the model's, where's the conviction?
“I evolve what I bring intentionally, growing into new strengths and finding new ways to add value as my work changes.”
Adaptability is growing into new strengths as your work changes — intentionally, not just reactively. AI comes for tasks, not whole jobs, and the time it frees up is the point. What carries people through is resilience: staying steady, anchoring identity in growth, and bouncing back as the work keeps shifting.
Start with a personal question: what part of your work is changing fastest, and what do you want to bring? Then frameworks for naming barriers, evolving your role, and choosing a working mode for each task.
Practice on real material. The cohort helps you catch inner-critic talk, reframe it, and commit publicly to one concrete adaptation move. The exit diagnostic closes this session.
Fear of failure, perfectionism, negative self-talk, and pressure to appear competent — the last sharpens most in AI work.
Anchoring identity in growth and contribution, not the specific role-shape you hold today.
All Me, Centaur, Cyborg, Full Delegation — different modes for different parts of the same work.
Passion, Assets, Clock, Effort — four lenses for whether and how to grow in a given direction.






The same AI tools are available to your competitors. What separates high-performing organizations is the quality of human thinking behind every prompt, decision, and action. Develop the capabilities that help your people get more from AI while contributing more themselves.
Talk to a Learning ConsultantEquip any manager with the skills to lead with confidence
Customizable learning journeys tailored to directors and above
Mold new managers into strategic, effective leaders
Enable high-performers with essential people skills
Level up the whole team with mission-critical skills
Participants uncover their strengths, identify capability gaps, and grow together.

Give a team a shared language and a shared standard for how humans and AI work together — measured start to finish.
.jpg)
Knowledge workers who want to stay distinctly valuable as more of the routine work gets automated around them.

Leaders who need to model judgment, trust, and accountability — and coach their people to do the same.
.avif)
Most AI training teaches people how to use AI tools. The Human Advantage develops the capabilities that make AI more effective in the workplace: judgment, trust, accountability, curiosity, and adaptability. These are the human skills that improve AI outcomes and become more valuable as AI adoption grows.
.avif)
The program is built for knowledge workers, intact teams, managers, and emerging leaders. It's ideal for organizations adopting AI that want to strengthen the human capabilities behind better decisions, collaboration, and performance.
.avif)
The Foundation Program runs over 12 weeks and includes 12 live sessions totaling 19 classroom hours, plus practical workplace assignments between sessions to reinforce learning.
AI Kickstarter helps teams identify opportunities to apply AI in their work. The AI Leadership Accelerator equips leaders with the frameworks, tools, and strategies needed to sustain adoption over time.
.avif)
The Human Advantage is delivered live in a cohort format. Participants learn alongside the same group throughout the program, creating accountability, peer reflection, and opportunities to practice new skills together.
.avif)
Yes. While the Foundation Program follows a structured journey through all five superpowers, delivery can be adapted to your organization's goals, team size, and areas of greatest need.
.avif)
AI is used throughout the program as a practical learning partner, but the focus isn't on mastering a specific platform. Participants develop the judgment and human capabilities needed to work effectively with any AI tool, now and in the future.
Tailor a Human Advantage cohort to your team's goals, timeline, and the skills that matter most for your culture.