Tool · Interactive · No signup required

Decision Boundary Map

Map what your agents decide autonomously, what they escalate, and what stays human. Export the result as a PNG or Markdown governance document.

Example agents
Clinical Trial Matching
Screens patient records against 3,000+ active trials in real time. Ranks matches by confidence. Clinician reviews shortlist and decides enrollment.
Dynamic Pricing
Reprices 40,000 SKUs every 15 minutes. Humans set policy bands. Agent executes at a scale no human team could match.
Regulatory Watch
Monitors 200+ regulatory feeds. Maps changes to workflows and drafts impact assessments. Weeks compressed into hours.
Market Localisation
Localises content, adapts UX patterns, flags cultural conflicts. Enter 12 markets simultaneously instead of sequentially.
Supplier Negotiation
First-round negotiations within pre-approved parameters. Escalates outside bounds. 10x volume without proportional headcount.
New template
Start blank. Name your agent and build your own governance boundaries from scratch.
Click two nodes to connect or disconnect
Export
0Autonomous
0Boundary
0Human only
0Connections
0%Autonomy rate
● Click target node to connect
Agent territory
Fully autonomous
Drop decisions here
Boundary zone
Agent + human review
Trigger required on drop
Human territory
Human only
Drop decisions here
New template
Name your agent and describe the workflow. The canvas starts blank — add decisions to each zone and define your own governance boundaries.
Export
A snapshot of the current canvas.
Paste into Notion, Obsidian, or any markdown editor. Or copy into an LLM and ask it to stress-test the design.

This tool is based on the decision architecture framework from the AI-Native Operating Model essay. The output is a governance document. Take it into your next planning session — or paste the Markdown export into any LLM and ask it to find the gaps.