Foundations
Build the first useful version on a real piece of work.
ORCHESTRATE / OPERATOR
Design an AI-Native Company
Redesign a small organization around the work AI can genuinely prepare or execute while keeping ownership, source truth and human decision authority explicit. Start from workflows and bottlenecks, then design shared knowledge, agents, automation and operating reviews around measurable business outcomes.
Deep diveLab pick
Founders redesigning how a small company operates with AIOperations leaders moving from scattered individual AI use to shared systemsTeams that already have several AI workflows and need an organizational operating model
Advanced Pack
Turn it into a repeatable system with deeper implementation, reusable assets and harder operating decisions. Free during Early Access.
Final Lab
Test the capability in a practical scenario when you want another round.
YOU'LL LEAVE WITH
A result you can take back to real work.
An AI-native operating blueprint for a real small organization covering work inventory, decision rights, shared knowledge, workflow portfolio, agents/automation, governance and adoption metrics.
Map where AI should and should not enter one real company
Inventory recurring work, identify bottlenecks, classify decision authority and choose a small portfolio of workflows where shared context or AI assistance can improve real outcomes.
Design the organizational operating layer
Add shared knowledge, workflow/agent ownership, governance, cost/adoption metrics, change management, operating reviews and a staged rollout that improves leverage without creating opaque autonomous bureaucracy.
WHAT ADVANCED ADDS
Take the method back to real work.
Advanced includes reusable artifacts, decision rules and implementation material designed to keep working after you close the Path.
Work Portfolio Map
A company-level map of recurring workflows, decisions, bottlenecks, information sources and where AI assist/automation creates enough value to justify change.
Human/AI Decision Rights Matrix
A clear assignment of who or what may prepare, recommend, decide, approve and act across important business processes.
AI Operating Review
A monthly review of workflow adoption, business outcomes, failure/override evidence, cost, capability changes and which automation should be expanded or retired.
PATH MAP
Build the first version. Then make it operational.
Foundations takes you through the first useful result. Advanced adds the implementation depth, harder cases and operating discipline needed to reuse it.
- 01Map the Work, Not the Org ChartFree
- 02Find the Real Information and Decision BottlenecksFree
- 03Classify Human and AI Decision RightsFree
- 04Choose the First Workflow PortfolioFree
- 05Design One Cross-Functional Operating LoopFree
- 01Build the Shared Knowledge LayerAdvanced
- 02Assign Workflow and Agent OwnershipAdvanced
- 03Design Governance and EconomicsAdvanced
- 04Plan Adoption and ChangeAdvanced
- 05Measure Business Outcomes, Not AI ActivityAdvanced
- 06Run the AI Operating ReviewAdvanced
The AI-Native Reorg Without the Reorg
A small company uses many AI tools but every important workflow still depends on re-explaining context and one founder approving everything. Redesign the operating system without replacing people with a fictional autonomous company.
Complete Advanced, take on the scenario if you want to test the capability, and pass it to create a lightweight shareable record of the result.
How Lab Achievements work →BEGIN THE PATH
Start with a real result.
Sign in with email and work through Foundations for free. Complete Foundations and unlock Advanced free during Early Access.
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