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Enhance decision quality across your organization

Integrate accelerating AI capabilities with human judgment and accountability

Structured resources from Ross Dawson to design and implement better decision-making
Introductory offer: USD 245 for your first year when you join before 1 December 2026
The 12 Decision Levels
Every decision placed at the right level, from a fully human call to a fully autonomous one
Human FirstA person owns and drives the decision
1High-stakes human judgment
2AI-augmented group decision
3Iterative co-reasoning
4AI decision reasoning
5AI scenario testing
6Option expansion
AI FirstThe AI runs the decision process
7Active approval
8AI with final approval
9AI with exceptions
10AI with oversight
11Autonomous within mandate
12Full AI delegation

Your organization is already delegating decisions to AI

Almost none of it was designed.

AI now shapes what your organization notices, recommends, approves and acts on. Few organizations have chosen where human judgment belongs, what authority AI holds, or who is responsible when a decision goes wrong.

Making those choices deliberately is what lets you hand far more work to AI with every decision still owned and accounted for.

Organizational outcomes

Better, faster, cheaper, safer decisions

Each decision gets the mix of people and AI that suits it, so routine calls move faster and consequential calls get the judgment they need.

Make every decision using the right structure

Assess what a decision involves, then place it at one of 12 levels from a fully human call to a fully autonomous one.

Give your board clarity on AI governance

A decision audit gives you a written finding for each decision, a named owner for every fix and a report ready for your board.

Delegate more decisions with confidence

Every level shows where it tends to fail and the safeguard that prevents each failure, so the protections are designed before you hand anything over.

Build organizational capabilities for better decisions

Three supporting capabilities and eight augmentation techniques strengthen the judgment your people bring to every decision.

Scale value from AI with clear accountability

Every decision you design has a named owner and a record of who can make, stop or override the call, so AI use grows while responsibility stays clear.

What is inside · five parts

Work from first assessment through to running the system

Each part takes up one question you face as you design how your organization decides with AI.

1

Foundations

What kind of decision is this?

Start HereHow to use the framework and find your route through it
Decision CharacteristicsAssess a decision before you choose a structure for it
Decision RolesWhat people and AI each do inside a decision
2

Decision levels

How is the decision structured?

The 12 Decision LevelsFrom a fully human call to a fully autonomous one, with the rights, failures and safeguards at each level
3

Decision enhancement

How do we get a better decision at that level?

Supporting CapabilitiesThe three capabilities people need at each level
Augmentation TechniquesEight techniques that strengthen a decision at any level
4

Implementation

How do we put this in place?

Strategic FramingSet direction across your organization before you design any one decision system
Organizational ImplementationSix steps from how a decision runs today to how you designed it
5

In practice

How do we manage and run the system?

Decision auditCheck that each decision involving AI still works as designed, and report what you find
Case libraryReal-world cases of Humans + AI decision-making
Compliance guidelinesHow the framework maps onto APRA CPS 230, the EU AI Act and ISO/IEC 42001
ReferencesComparable frameworks and the research the framework rests on
23ready-to-use prompts across the framework, for the AI tools you already use

Everything sits in one members' area

You work through it on the Humans + AI community platform, in the order that suits you. Every section opens with a short note on what it holds and which page to read first.

The Decision Architectures sections in the members' area
The members' area, as you see it after joining.

Built for the people who are responsible for consequential decisions

Decision Architectures is for leaders who set how decisions involving AI are made in their organization.

TransformationAI adoptionAI governanceRiskLegalAuditOperations
It is most useful when
Your board or a regulator has asked how AI decisions are governed, and you had to improvise.
An AI rollout has stalled on which decisions AI is allowed to touch.
A decision involving AI went wrong and nobody could say who was accountable.
You carry accountability for decisions involving AI without a framework behind you.

Created by futurist Ross Dawson

Ross Dawson has delivered keynotes and strategy sessions in more than 30 countries, for organizations including Google, Microsoft and American Express. He first published his levels of AI delegation in decision-making in 2024. Decision Architectures develops that work into structured resources you can apply to every decision your organization shares between people and AI.

Get a full year of access

From the day you join, you can:

  • Place every decision at the right level, with the safeguards it needs
  • Name an owner for each decision you design
  • Give your board a clear account of how AI decisions are governed
  • Put the new design in place step by step
  • Use all five parts and 23 prompts, plus everything added during your year
Annual membership
USD 445 a year
Introductory offer: USD 245 for your first year when you join before 1 December 2026.

One membership per person, for use inside your organization. Tax is added at checkout, where the renewal price is also shown.

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Questions before you join

Is this a course with live sessions?

No. It is a body of material you apply at your own pace, with no live sessions or scheduled start.

Can my colleagues use my membership?

Each membership is for one person. You can apply what you learn across your organization.

What happens after the first year?

Your membership renews at USD 445 a year. The renewal price is shown at checkout before you pay.

Will the material stay current?

Yes. The framework, cases and prompts are expanded and kept current as the landscape evolves.

Start designing how your organization decides with AI

Introductory offer: USD 245 for your first year when you join before 1 December 2026