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AI-IQ

A map for thinking
and acting with AI.

A proprietary method for developing the human capabilities needed to guide, evaluate and adjust work with AI.

Explore the method

Soft Skills Engineering for AI Usability

The principle

The thinking path is a choice. It can change along the way.

01  /  The need

When an answer is not enough.

An AI answer still leaves choices to be made: which question to ask, which assumptions to examine, what to check and which direction to take.

A defined path

Organising execution

Steps, rules and checks structure the work. People set the framework and oversee what they delegate.

A path to be built

Guiding the thinking

The next step depends on what you discover. You have to explore, interpret, weigh ideas against each other and make judgement calls.

In both situations, human steering remains essential.

02  /  The system

Capabilities, mindsets,
a context.

Having a capability does not guarantee that you will use it at the right moment. AI-IQ connects what you want to achieve with how you approach the situation.

The starting point

Need and intention

What result are we looking for? In what context, and with what constraints?

28

human capabilities

The capabilities to draw on to examine, interpret or decide.

15

mindsets

The dispositions that direct attention and shape how you approach the situation.

The context guides the choice of capabilities and mindsets.

03  /  The navigation map

Choosing your thinking path.

Users choose, go back and adjust their approach. Several paths can lead to a decision that fits the context.

  1. Frame State the need
  2. Explore Open up avenues
  3. Compare Weigh the options
  4. Reframe Adjust the question
  5. Verify Test the answers
  6. Decide Own a choice
Illustrative path At every stage: which capabilities and which mindsets should you draw on? A map to be read according to the situation, with room for loops back and forks.

04  /  When to use it

When should you use AI-IQ?

The more the next step depends on what you discover, the more useful the map becomes.

  1. Reasoning to be built

    Exploring a problem, comparing options, making trade-offs.

    The map helps to guide the reasoning.

  2. A moment of judgement

    Drafting, summarising, planning.

    The map comes into play at decision points.

  3. Well-defined execution

    Carrying out a stable, already structured task.

    A procedure or a tool may be enough.

The right question: “Do I already know what to do, and in what order?”

05  /  An illustrative example

Exploring an idea with AI.

Value comes from steering the exploration continuously. Each answer can reshape the next question.

  1. Open up

    “Give me 10 opposing angles.”

    The human choice: Widening the possibilities before settling on a direction.

  2. Go deeper

    “Dig into option 3 only.”

    The human choice: Choosing an avenue based on the goal and the context.

  3. Stress-test

    “Challenge my hypothesis.”

    The human choice: Examining what could weaken the idea or move it forward.

Select, develop… or go back to the question.

Users assess the suggestions, ask for adjustments and decide what comes next. The path adapts to what emerges from the exchange.

06  /  Putting it into practice

Developing these capabilities
in your context.

01

Measure

Identifying the capabilities in use and the development needs, based on observable situations.

02

Develop

Practising on real work cases, with feedback and support.

03

Apply

Building these capabilities into how AI is used and into everyday work decisions.

What path does your use
of AI call on you to build?

Let’s start from your work situations.

Let’s talk about your context