Growth Performance

    AI Fluency & Readiness Diagnostic

    Measure your personal fluency with AI tools across four practical dimensions, from content creation to ethical evaluation.

    Purpose: As AI becomes embedded in everyday work, personal fluency is a foundational capability. This diagnostic helps you understand where you are today and where to focus your development to work effectively alongside AI tools.

    Instructions: Rate each statement from 1 (Strongly Disagree) to 5 (Strongly Agree) based on your current experience and confidence. Be honest, the insight is most useful when it reflects where you are now, not where you aspire to be.

    1.Document & Content Creation with AI

    Using AI tools to generate, refine and improve written content, presentations and communications.

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    out of 25

    I can use AI tools to draft professional documents, reports or emails with minimal editing required

    I understand how to write effective prompts that get useful AI output first time

    I use AI to summarise, structure or reframe existing content efficiently

    I know how to iterate with AI, refining outputs through follow-up prompts rather than starting again

    I am confident that the AI-assisted content I produce meets the quality standards of my role

    2.Task Automation & Workflow AI

    Applying AI to automate repetitive tasks, streamline workflows and increase personal productivity.

    -
    out of 25

    I have identified at least three repetitive tasks in my role that AI could automate or significantly accelerate

    I actively use AI tools to save time on routine work, not just occasionally, but as part of my workflow

    I know which AI tools are most appropriate for different types of tasks in my context

    I can set up simple AI-powered workflows or integrations without needing technical support

    I regularly evaluate whether a task I am doing manually could be handled better by AI

    3.Collaborative AI & Human-AI Teaming

    Working effectively with AI as a collaborative partner, knowing when to trust it, when to override it, and how to integrate it into team workflows.

    -
    out of 25

    I understand the difference between tasks where AI adds genuine value and tasks where human judgement is irreplaceable

    I know how to review and critically evaluate AI outputs before using or sharing them

    I am comfortable discussing AI-assisted work openly with colleagues and managers

    I contribute to my team's collective understanding of how to use AI effectively

    I can identify when an AI tool is making errors or producing biased outputs

    4.AI Ethics, Privacy & Critical Evaluation

    Understanding the responsible use of AI, including data privacy, bias, and maintaining appropriate human oversight.

    -
    out of 25

    I understand what data I should and should not share with AI tools in my organisational context

    I am aware of common AI biases and actively look for them in outputs I use at work

    I understand my organisation's policy (or the principles I should apply) around the acceptable use of AI

    I think critically about the source and reliability of AI-generated information before acting on it

    I understand the ethical implications of using AI in decisions that affect other people