Build Your Agentic Company: Turn AI Into Leverage, Not More Work

Han Kay

Systems Architect · Founder, Sysdom AI

Covered by the Maven Guarantee

AI amplifies everything. Including what’s broken.

AI gives founders two possible futures.It can multiply company capacity—or multiply the coordination work returning to the founder.If you're building an AI-native or agentic company, adding agents is the easy part.

The harder problem is turning their output into leverage without becoming the integration layer for every handoff, decision, and next move .

The missing layer is the system the agents operate inside. That is Systems Intelligence.

This four-week working lab turns Systems Intelligence into founder practice.

Across four focused 90-minute sessions, you will map your venture, identify the active constraint beneath the surrounding noise, commit one bounded next move, and complete a founder-directed operating cycle.

Sysdom.ai is the included, supported working environment.It organizes venture context across the Product/Service, Customer, Cash, and Skills Engines , preserves evidence, and records the chosen move.

You remain responsible for direction, consequential decisions, and approval boundaries.

Leave with a clearer venture state, explicit decision boundaries , one completed cycle, and a repeatable way to increase agent capacity without increasing founder coordination.

What you’ll learn

See your venture clearly, find what is holding it back, and choose the next move—so AI creates leverage instead of more work.

See your venture as one system

Connect the Product/Service, Customer, Cash, and Skills Engines to see where value accumulates, leaks, or stalls.

Trace how a decision in one Engine affects the venture as a whole.

Use the Systems Intelligence Model (SIM) to reveal dependencies that a function-by-function view would miss.

Build an evidence-backed venture map

Record observations, assumptions, sources, and proof gaps in one connected venture view.

Create a first founder-reviewed draft of the venture state.

Mark what is observed, assumed, or still unverified before committing action.

Find the constraint behind the noise

Separate the loudest symptom from the constraint most likely to be limiting the venture.

Use selected systems laws and archetypes as practical diagnostic lenses.

Compare evidence, confidence, and alternatives before choosing a constraint hypothesis.

Choose one bounded next move

Identify the leverage point most likely to move the chosen constraint.

Define one intervention, its reason, owner, approval boundary, and success signal.

Check likely effects on the other Engines before authorizing the move.

Set founder and agent decision boundaries

Draft a Venture Constitution defining delegated, notify, approval-required, and prohibited actions.

Keep direction, risk, and other consequential decisions under founder control.

Separate reversible delegated work from consequential decisions requiring your review.

Start a guided operating cycle

Begin a guided SIM Cycle from diagnosis and authorization through evidence review.

Leave with a recorded next move, success signal, learning, and next-cycle plan.

Review results against evidence, promote one learning, and define the next cycle.

Learn directly from Han

Han Kay

Systems Architect · Carnegie Mellon (MISM) · Triple Master's (MBA, MS) · 30+ yrs

I’m Han Kay, a systems architect and founder of Sysdom.ai, the agentic venture builder.

Over three decades, I have built nine ventures in Silicon Valley and other ecosystems, worked on World Bank innovation programs across six countries, and taught systems thinking, entrepreneuship and innovation management in MBA courses and accelerators.

I hold a Master of Information Systems Management from Carnegie Mellon University , alongside graduate degrees in business and biosystems engineering.

I created the Systems Intelligence Model (SIM) to help founders see ventures as connected systems and act at the point of greatest leverage.

My current work focuses on founder control in agentic organizations : keeping direction, decisions, evidence, and execution connected as AI increases operating speed.

Career highlights

Creator of the Systems Intelligence Model (SIM), a universal framework for designing conscious, high-performing systems, refined over 11 years of real-world application

Author: Conscious Systems (free 516-page playbook) + Span of Control (free handbook) + Spaghetti Startup (2014), nominated for Best Entrepreneurship Book

Academic preprint: "ConsciOS: A Viable Systems Architecture for Human and AI Alignment" . 861 downloads on Zenodo, zero marketing

Triple Master's: Carnegie Mellon University (MISM, Master of Information Systems Management), an MBA and an MS in Biosystems Engineering

World Bank Senior Investment Officer — innovation programs across 6 countries

9 ventures built, 7 instructive failures. Taught in 11 years of Tech MBA programs and accelerator workshops