Uneven usage.
Some people are exploring new tools; others need guidance on how and where they can use them.
AI READINESS
Your team and AI.
Understand your starting point to move forward.
Understand your workforce’s starting point
and help your people prepare to work with AI.
An assessment that connects knowledge,
skills and the realities of the job with learning needs.
Knowledge and judgement
Skills for learning
Preparation Priorities
THE CHALLENGE
Knowing your starting point
helps you decide where to begin.
The introduction of new tools finds people at different starting points. Understanding this reality helps to determine what they need to learn, practice, and understand in their work.
AI Readiness is being defined to provide this reference and guide preparation that is tailored to the needs of each organisation.
Too general training.
A single programme may fail to address differences in knowledge, tasks, and user experience.
Doubts about the next step.
Without a clear starting point, it is difficult to decide which content, practice, and support are most important.
TWO COMPLEMENTARY PERSPECTIVES
What does your team know?
How can they learn and apply it?
The overall evaluation considers two distinct axes to understand preparation and guide learning.
KNOWLEDGE FOR WORKING WITH AI
Understanding what is being used.
Exploring the relevant knowledge to propose a task, understanding the possibilities and limitations of a tool, and reviewing the information it provides.
What does the person need to know to use it effectively?
SKILLS FOR LEARNING AND APPLYING
Learn, compare, and refine practice.
Explore relevant skills to learn and apply AI in the workplace. The criteria, adaptation, and review of what is done guide this approach; dimensions are selected based on the evaluation objective.
What does it need to develop to apply this to its work?
The environment also matters.
Adoption is understood in conjunction with the tools, processes, support, time, and opportunities for use. An individual assessment alone does not explain all the conditions of the organisation.
What we agree before the assessment
The assessment
- Batteries and instruments
- Dimensions and criteria
- Specific tests by area
- Conditions of participation
The interpretation
- Relationship between the sources
- Reading with context
- Limitations of conclusions
- Aggregation conditions
Delivery
- Reports and recipients
- Access to information
- Testing and validation
- Scope of each project
This proposal outlines these elements based on the project's needs and scope.
SPECIFIC TESTS FOR EACH AREA.
A shared foundation.
A different context for each team.
The proposal includes supplementing the overall evaluation with tests related to different professional areas.
Marketing
Content preparation, market research, and proposal review.
How is a proposal compared to the brief and its sources?
Finance
Summarise information, interpret data, and review assumptions and calculations.
What information needs to be verified before using a conclusion?
IT
Documentation, understanding of solutions, and review of technical results.
How can it be verified that a proposal meets the requirement?
Creativity
Brainstorming, developing alternatives, and criteria for selecting and reviewing.
What makes a proposal suitable for the objective?
Illustrative contexts, not evaluation questions. The selection of instruments and scope are agreed upon for each project.
WHAT DOES THE ASSESSMENT PROVIDE?
Identify what to learn
and how to practise it.
The proposal outlines both the individual report and the aggregated reading. These examples illustrate how information connects to learning.
ESFERICALAI READINESS
EXAMPLE: PREPARING A WORK SUMMARY
Two complementary perspectives
KNOWLEDGE
Recognise that a response needs verification.
SKILLS
Rephrase the request when it detects missing information.
Two illustrative observations. They do not represent dimensions, levels, or a validated scale.
Understanding the starting point.
The reading distinguishes the knowledge needed to work with AI from the skills relevant for learning and applying it. Maintaining both perspectives helps to identify training needs more clearly.
- Knowledge and skills, differentiated.
- Strengths and areas requiring comparison.
- Needs related to work and its context.
A reference point for deciding where to start.
Let's talk about your teamFictional examples, without scores or results from real people. The proposal outlines the tools, reports, and interpretation/aggregation conditions.
HOW WE WORK.
Understand the need.
Plan the preparation.
Learn with a purpose.
Practise in a relevant context.
The evaluation aims to identify specific needs: what to understand better, what to practice, and what support would facilitate applying it in the workplace.
Frame the need.
Clarify what needs to be prepared, for whom, and in what tasks or areas the AI would be used. Understand the context of use.
Agree on the evaluation.
Confirm the available and validated instruments, participation, and application conditions. Specify what will be evaluated and the purpose for which it will be done.
Interpret within context.
Relate knowledge and skills with experience and working conditions. Distinguish conclusions, limitations, and points to be compared.
Guide the next steps.
Identify priorities for training, practice, and support. Agree separately on learning actions and how their progress will be reviewed.
HOW CAN IT HELP YOU?
Preparation that fits the work.
Learning with a clear purpose.
Before planning training
When you need to determine the starting point and define which content and practice should be prioritised.
To focus training on specific needs.
When usage is uneven
When different experiences coexist and you want to understand what support each group might need.
To distinguish needs and usage conditions.
When expanding usage across different areas
When different professional areas need to connect training with their tasks and criteria.
Connect learning with the work of each area.
FROM PREPARATION TO LEARNING.
Identify learning needs.
Connect them to the next steps.
Evaluation makes sense when it helps to determine what to do afterward. The proposal connects preparation for AI with the necessary skills, job tasks, and learning opportunities.
Training and support will have their own scope; they are not automatically included in the evaluation.
Work as a reference.
Job analysis helps to clarify the tasks, responsibilities, and skills that will be related to the preparation.
Understand Job AnalysisComplementary Skills
Hard Skills and Soft Skills have their own evaluation focus. Their relationship with AI Readiness will be determined according to need.
Training and Practice
Training offers programmes, courses, and pathways to continue learning.
Explore TrainingBEFORE WE BEGIN
Questions
you may have.
What the proposal covers, how it relates to adoption, and what we agree upon for each project.
What does "AI Readiness" mean in this proposal?
Preparation for working with AI. The proposal combines general knowledge and relevant skills for learning and applying it, with the aim of guiding training, practice, and support. It is not presented as an exact prediction of the speed of adoption or as a measure of a person's full potential.
Is this a test of prompts?
The focus is broader than simply writing instructions. It encompasses the knowledge needed to understand and review how AI is used, along with relevant skills for learning and applying it. The tests and their dimensions are selected according to the evaluation objective; the interpretation considers the tasks and the context of use.
What professional areas are considered?
Marketing, finance, IT, and creativity. These are presented as complements to a general evaluation, within the same service. The examples on this page illustrate possible professional contexts; they are not evaluation questions.
What would the organisation receive, and what would each individual receive?
An individual report and an aggregated reading are considered. The content, recipients, access rules, and conditions for grouping results are specified in the proposal. Before a project, the information to be shared, with whom, and for what purpose, will be agreed upon. No ranking of individuals or a single index of preparedness for the entire workforce is promised.
Does it include training or the implementation of AI tools?
The goal is to identify training needs and guide learning. Training, practice sessions, and support will be provided separately. This evaluation does not include services such as AI implementation, tool selection, technological integration, or process automation.
Can the preparation of teams or the measurement of improvement be compared?
Comparing teams requires considering their tasks, experience, participation, and context. To study improvement before and after training, we need comparable instruments and conditions. We agree on the goal and verified that the information allows for that analysis.
How does this relate to Hard Skills and Soft Skills?
They share the AI & Skills family, but have distinct focuses. AI Readiness focuses on preparing to learn and work with AI; Hard Skills, on specific knowledge and skills; and Soft Skills, on personal and interpersonal abilities. They can be connected as needed, without assuming that one evaluation automatically includes the others.
How can we discuss and commission a project?
Tell us about the need, the areas, and the people the evaluation is aimed at. We will prepare a proposal with the instruments, deliverables, participation, data handling, schedule, and investment.
LET'S DISCUSS AI READINESS
What does your team need
to work with AI?
Tell us where you are today and what you want to prepare for.
Let’s discuss the people, teams and learning involved.
Team needsAreas and contextScope and timeline
Review the AI Readiness proposalThe proposal outlines the instruments, deliverables, timeline, and investment.