Human-centered business design for the AI era
You're ambitious, optimistic, and moving fast. You've got people building agents in every corner of the business. But are you and your leadership team aligned around the existential questions:
Who do we want to become on the other side of this? What do we want our people to believe in, build toward, and find meaning in? What does our organization look like and what new behaviors, skills, and human+AI systems do we need to get there?
AI is the medium. Not the mission. Human+AI systems design is now every leader's job — and we can help you design your future, together.
What needs to change
Culture eats strategy for breakfast. Undesigned AI will eat your culture before you've finished your coffee.
For decades, leaders set strategy and trusted their IT organizations and middle managers to execute on it. That worked — because the systems running the business were slow enough, human enough, and visible enough to course-correct when they drifted from purpose.
That's no longer true. AI systems move fast, operate invisibly, and scale whatever values — or absence of values — they were designed around. And right now, most of them are being designed by whoever is most enthusiastic, most technical, or most available. Not by the leaders whose job it is to steward the organization's purpose and future.
We believe the AI era can unlock a whole new and better world of work. But only if leaders at all levels step up as human+AI systems designers — consciously, intentionally, human-centeredly shaping what their organizations become.
And here's the thing about culture: you can create the conditions for it. You can't manufacture it. Culture is the felt texture of the space between the things you built. Get the Constitution right, build the Operating Model from it, and give your managers the tools to cascade it — the culture that emerges will be worth belonging to.
That's the work. That's why we're here.
Most organizations treat purpose and values, AI readiness, and people capability as separate workstreams. Imagine what is possible when you align all three around a shared vision of the future.
Purpose-driven companies compounded at 5× the S&P 500 average over a 20-year period. Not a pandemic spike. Not a single sector. Two decades of sustained structural outperformance.
Jump Associates — Payback on Purpose (20-year longitudinal study)
95% of enterprise AI pilots never deliver measurable financial returns. The technology works. The organizational design around it doesn't. Pilot purgatory is not a technology problem — it is a design problem.
MIT NANDA Initiative — The GenAI Divide: State of AI in Business 2025
Most of today's operating models are accumulated behaviors — built around the limitations of previous IT systems, not around organizational mission. AI is forcing a redesign. That's the opportunity: to build one with intention, aligned around human values, and empowered by AI.
Employees are ready for AI. The biggest barrier to scaling it is leadership. Not resistance from the floor. Not technology gaps. The absence of leaders equipped to design and steward the transition.
McKinsey — AI in the Workplace, January 2025 (3,613 employees + 238 C-suite executives)
Governance is not bureaucracy handed down from above. It is a design capability distributed to every leader — the ability to instrument, observe, and course-correct their own human+AI domain. That is what makes an organization self-learning. And it is a skill that has to be built, not assumed.
Purpose without alignment
Mission documented. Values articulated. Operating model, incentives, and instrumentation for human+AI decision-making not yet aligned.
AI without a compass
Initiatives moving fast. No shared sense of direction. Accelerating — but nobody has agreed on where.
Managers without a map
These aren't unprepared leaders. They were trained for a world that just changed. The transformation mandate arrived. The map didn't.
The designed organization
Purpose as operating system. AI deployed by design. Managers who can run the same design process in their own domain — independently.
This is the configuration that produces the 4× valuation premium, the 5× CAGR, the 51% retention advantage. It doesn't emerge. It's designed.
See the work →This work can't happen between meetings. It requires your leadership team to step out of the day-to-day — into a space designed for hard thinking, fully supported, with nothing to manage but the ideas in the room.
We handle everything. Collaboration space, facilitation, materials, and the kind of environment that lets your team do work they couldn't do back at the office. You show up. We take care of the rest.
And the experience of doing this work together — the hard conversations, the honest design choices, the moments of genuine alignment — that is culture-building. You don't just leave with better foundations. You leave having built something together. That changes a team in ways a strategy offsite never does.
Multi-day workshops
Structured across multiple days to allow for divergent thinking, synthesis, and genuine decision-making — not just alignment theater. Each day builds on the last.
San Francisco by design
We host in SF — not for the geography, but the atmosphere. This is where the AI era is being built, with all its human complexity and genuine excitement. Absorbing that context changes how leaders receive the design work. Dinners, conversations, and — if you'd like — guest speakers from leading AI firms.
Culture, not just content
Your team leaves with frameworks, foundations, and new skills. But they also leave having shared an experience — thinking hard things through together, in a new context. That shared experience is the beginning of the AI-ready culture you're building.
Most transformation programs leave the organization dependent — on the consultant, the framework, the next engagement. hum(Ai)n is designed to do the opposite.
The Constitution gives your organization a foundation specific enough to govern decisions nobody anticipated. The Operating Model translates it into this year's priorities — derived from purpose, not inherited from last year. And the Team Charter is where the design capability itself gets distributed: every leader learns to run the same process in their own domain. When all three are in place, you don't have a transformation program. You have a self-learning, self-governing system. That's the destination. Here's how we get there.
Forever — amended as priors update
Who you are. What you stand for. Specific enough to govern decisions nobody anticipated.
Not a mission statement. Not a values poster. A living document that functions as the operating system for your organization — and your agents. Purpose and values sharp enough to use as decision criteria. Operational enough to replace a policy manual. The prior that doesn't change — and the foundation everything downstream is derived from.
When your people and your agents internalize the why — not just the rules — they make aligned decisions in situations nobody anticipated. That's the difference between compliance and culture.
12–18 months · all functions
How you build toward the Constitution this year — across every function. Not inherited from last year's plan.
A full human+AI transformation agenda derived from your Constitution. Goals, KPIs, org design, agent deployment priorities — all built from the ground up against who you've decided you are. This is what makes it different from every strategic planning process you've already been through.
Structure, roles, and human-AI boundaries designed around what your people uniquely contribute. The layers that update as conditions shift — without requiring a redesign event every time.
12 months · each manager's domain
Where the design capability gets distributed — and the self-learning system comes alive.
Most transformation programs treat middle managers as the implementation layer. hum(Ai)n treats them differently: as the designers of their own domain's future — equipped with the same skills and frameworks your leadership team used to build the Constitution. This is the reskilling act.
It runs in the same sequence. First, the Team Charter — co-designed participatorily with their teams, cascaded from the Operating Model, owned by the people who will live inside it. Then the Cockpit: before designing the orchestra, a manager needs to know what success looks like in their domain. The Cockpit is their instrument panel — leading indicators for both operational health and transformation momentum. It makes explicit the balance between keeping the lights on and driving change. This is where the functional operating plan lives — real choices about priorities, sequencing, and resource allocation for the next 12 months. Not inherited from last year. Designed against the Constitution.
Only then comes the Orchestra: the human+AI system designed to execute the commitments in the Charter. Who does what, where agents operate, what data flows in and what comes back. That map — built by the people closest to the work — becomes the blueprint for how work actually gets done. Aggregated across the org, it's your data and technology architecture, derived from operational reality rather than imposed on it.
This is governance by design. And when every manager in your organization has done this work, you don't have a culture initiative. You have a self-learning system — and the Constitution has stopped being yours alone. It belongs to everyone.
Anthropic recently published research showing that AI agents trained on internalized principles — taught the why, not just the rules — generalize to novel situations that demonstrations and policies alone cannot cover. The parallel for organizations is direct: an agent operating without values architecture will optimize for the nearest proxy metric the moment it hits a situation nobody anticipated. Your agents need a Constitution. So does the organization they operate inside.
Anthropic Alignment Science — "Teaching Claude Why", May 8 2026
The best organizations don't run on better org charts. They run on stronger priors — a Constitution clear enough to guide decisions nobody anticipated, an Operating Model derived from it rather than inherited from last year, and managers equipped to instrument, observe, and course-correct their own domains before problems escalate.
Think of it as Bayesian thinking for business. The Constitution is the prior that doesn't change. Everything else — structure, tooling, roles, human-AI boundaries — updates continuously as conditions shift. Locally. Without crisis.
The CEO of a well-designed organization makes fewer decisions. Not because they've stepped back — because they've built something that doesn't need them to step in. The values are already in the room.
We've had the privilege of front-row seats to how the world's greatest companies actually operate — and how their leaders think, decide, and design. Our design principles weren't born in a library. They were forged working alongside those companies and the people who built them. These books gave that experience a framework — and sharpened the questions we now bring to every engagement.
The foundational case for human-centered design at the strategic level. The methodological ancestor of what we do.
Design thinking belongs at the top of the organization, not just in product teams. The intellectual argument our practice builds on.
The most thorough exploration of purpose-driven orgs. Predates AI — more urgent now than when written.
Leadership and the New Science
Organizations as living systems. The theoretical backbone of why continuous redesign is necessary — not optional.
The operating model for organizations that must learn and iterate continuously.
The canonical case for why transformation fails — and the eight-step model for doing it right. Essential reading before any Act 02 engagement.
The unglamorous, load-bearing work of civilization. Brand's argument — that maintenance is harder and more important than innovation — is the governance layer in a different register. The ongoing leadership tax nobody puts on a slide.
Incorruptible 2026
Why good companies go bad — and how great ones stay great. Ries argues that corporate drift from mission is not an ethical failure. It is structural. The systems governing organizations quietly reshape behavior as they scale. The fix is not better intentions. It is better design.
The most rigorous account of how AI is restructuring firm economics. Essential context — even if our answer differs from theirs.
The most honest current book on working with AI, not around it. Directly relevant to our Act 03 work.
How to lead organizations built on collective creativity. The leadership model the AI era actually requires.
The case for purpose-driven, long-horizon leadership. The Why behind why all of this matters.
Teaching Claude Why Essay · May 2026
The most important org design paper of 2026. Anthropic proves empirically that agents trained on internalized principles generalize to novel situations — rules and demonstrations alone don't. The implication: your agents need a Constitution. So does the organization they operate inside.
The book that put AI existential risk on the mainstream map. Understand the stakes before you design.
If AI does most of the work — what is human purpose for? The question hum(Ai)n exists to help leaders answer.
A clear-eyed case against technochauvinism — the belief that technology is always the solution.
When AI is designed without diverse human input, the bias isn't incidental — it's structural.
The Age of Surveillance Capitalism
What happens when technology platforms design organizations without human values as the constraint. Heavy but essential.
How technology undermines our capacity for collective understanding — and why that matters when organizations make AI decisions.
A radical expansion of what intelligence means. Changes how you think about the human-AI boundary.
We'd love to hear from you — whether you're ready to begin, still figuring out where you are, or just want to think it through with someone who gets it.
Get in touch →