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AI adoption support

Evolving your practices
with AI.

Support to integrate AI into your activities, develop your teams’ capabilities and organise human steering.

We start from a real work situation and move forward with you,
from first trials to lasting adoption.

Let’s talk about your context

01  /  Your starting point

What change would you like support with?

  1. After a training course

    Applying what was learned in everyday work and overcoming the difficulties encountered.

  2. Around a use case

    Moving from an idea to a practice tested in its business context.

  3. Within a team

    Organising uses, knowledge sharing and responsibilities.

  4. When work is changing

    Redefining what is done by people, with AI, or delegated under supervision.

Support can follow on from training or an assessment, or start from a need you have already identified.

02  /  Areas of support

Acting on uses and the conditions for their success.

  1. Uses and business processes

    Choosing a priority situation, examining the tasks and testing a way of working with AI.

  2. Human capabilities and adoption

    Supporting practices, giving feedback and gradually building autonomy.

  3. Steering and working rules

    Clarifying responsibilities, human approvals, the limits of delegation and quality criteria.

  4. Trials and automation

    Scoping a pilot, defining the checks and assessing what it would take to build it into everyday work.

Depending on the project’s needs

The technical build of a workflow or an agent is explicitly scoped, with the necessary skills identified.

03  /  The process

Moving forward from real work.

A chosen scope makes it possible to experiment, learn and adjust before organising what comes next.

  1. Define the
    intended change

    Clarifying the need, the people involved, the constraints and the expected results.

  2. Experiment

    Testing a use or a new practice under defined conditions.

  3. Observe
    and adjust

    Examining the results, the difficulties and the effects on work, then adapting the approach.

  4. Build
    continuity

    Formalising useful practices, responsibilities and follow-up arrangements.

The pace and depth of support adapt to the project.

04  /  What AI-IQ brings

Building your teams’
autonomy.

Support also covers how people work with AI: framing a request, choosing the next interaction, checking an answer, weighing options and owning a decision.

AI-IQ provides reference points for observing these practices, giving feedback and identifying the capabilities to strengthen.

Progress in real situations

  1. Practise

    Applying the capabilities to a real work situation.

  2. Step back

    Examining choices and their effects, with feedback.

  3. Gain autonomy

    Reducing guidance as practices are mastered.

Advancing both the uses and the human capabilities that steer them.

Discover the AI-IQ method

05  /  Intended results

Practices the team can make its own.

Depending on the agreed scope, support can lead to:

  1. A tested use case

    A practice documented in its business context.

  2. A clearer way of working

    Defined division of tasks and approval steps.

  3. Quality criteria

    Reference points for assessing the results achieved.

  4. Reusable materials

    Instructions, examples, guidelines or procedures.

  5. Development needs

    The capabilities to strengthen and the next steps to consider.

  6. Decisions on next steps

    Continue, adapt, extend or stop the trial.

Let’s start the conversation

Let’s start from a situation
you would like to change.

A use to put into practice, a team to support or a process to rethink?

Let’s talk about your context

Together, let’s define the starting point, everyone’s contributions and the expected results.