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    Interactive assessment

    L&D AI Readiness Audit

    A 20-question assessment of how well your Learning & Development strategy is built for the AI age, across five critical dimensions.

    This audit evaluates five dimensions of L&D AI readiness: mindset architecture, human-irreplaceable capability investment, AI management skills, adaptability culture, and challenge-based learning design. Based on 2026 research from Deloitte, McKinsey, PwC, and Gallup, it identifies where your L&D strategy is positioned to build lasting human advantage and where the gaps are most likely to compound over time.

    Questions or items
    20 questions or items
    Completion time
    Around 10 minutes
    Dimensions
    Mindset Architecture, Human-Irreplaceable Capability, AI Management Capability, Compounding Capabilities, Challenge-Based Learning
    What you receive
    Personalised results with configured interpretation bands, section scores and development guidance.

    What it covers

    • Mindset Architecture
    • Human-Irreplaceable Capability
    • AI Management Capability
    • Compounding Capabilities
    • Challenge-Based Learning

    Rate each statement from 1 (Strongly Disagree) to 5 (Strongly Agree). Answer based on how your organisation currently operates, not how you aspire to operate. The most useful results come from honest, ground-level assessment.

    Results: Personalised results with configured interpretation bands, section scores and development guidance.

    How this interactive diagnostic works

    This page provides the documented overview before the interactive experience is loaded. It lets you read the purpose, the material covered and the way the result is presented without entering answers or sending a request. When you choose to continue, the interactive version uses the same material shown here. It records your selections while you work and only calculates its result when its required items are complete.

    Analytics consent is required before the interactive experience is mounted. Declining consent does not start the diagnostic or its tracking. If you continue, the existing experience remains responsible for its own input, score and lead-capture step. Where the route requests a first name and work email, its existing form handles validation and submission. This overview does not replace those steps or submit a lead.

    Statements in this diagnostic

    The interactive version groups the statements below by section. Read them in relation to the situation named in the instructions, then use the response scale shown by the diagnostic. The section descriptions are part of the existing configuration and explain the aspect each group is intended to examine.

    Mindset Architecture

    How well does your L&D strategy build the judgment to direct AI, rather than simply use it?

    1. Our L&D programmes go beyond teaching specific AI tools and actively develop the judgment to decide which tasks should be delegated to AI
    2. We train people to treat AI as a capable delegate — setting direction, reviewing outputs, and correcting course — rather than as a passive search tool
    3. Our people are confident directing AI workflows and understand when to question, push back on, or override AI outputs
    4. We measure genuine mindset and behaviour change in our AI programmes, not just tool adoption rates or training completion statistics

    Human-Irreplaceable Capability

    How well does your L&D strategy invest in the human strengths that become more valuable as AI advances?

    1. Our capability frameworks explicitly distinguish between skills AI is making more valuable and those it is making obsolete
    2. We invest at least as much in emotional intelligence, leadership presence, and stakeholder influence as in digital and technical upskilling
    3. Career development conversations in our organisation include explicit discussion of AI-proof human strengths for each individual
    4. When asked what people in our organisation do that genuinely requires a human, we have a clear and grounded answer

    AI Management Capability

    How well does your L&D strategy prepare people to manage AI systems, not just use them?

    1. We develop people's ability to evaluate AI output quality critically, including recognising when outputs are plausible but incorrect
    2. People in our organisation understand the conditions under which they should trust, question, or override AI recommendations
    3. We are actively redesigning roles to reflect the shift from task execution towards oversight and exception-handling
    4. Our management development includes training people to direct AI workflows and critically review AI-generated analysis

    Compounding Capabilities

    How well does your L&D strategy invest in capabilities that appreciate in value as AI advances?

    1. Our L&D portfolio treats adaptability and learning agility as strategic organisational capabilities, with deliberate investment and measurement
    2. We regularly audit which programmes are developing capabilities that AI is making more or less valuable, and adjust investment accordingly
    3. We have deliberate development pathways for character capabilities: curiosity, grit, moral courage, and the ability to navigate sustained uncertainty
    4. Our learning culture actively rewards intelligent experimentation and treats productive failure as a development signal

    Challenge-Based Learning

    How well does your L&D strategy use AI to set challenges that change what people believe they can achieve?

    1. We regularly design learning experiences around challenges that would previously have been impossible for individuals or small teams without AI
    2. Our AI-related programmes regularly push learners beyond familiar task types into territory that genuinely surprises them
    3. We measure skill acquisition and confidence growth in our AI programmes, not just completion rates and tool usage data
    4. Learners leave our AI-related programmes with a demonstrably different sense of what they are capable of achieving

    How the result is read

    The interactive diagnostic totals the selected item scores by section and across the whole assessment. It then matches those totals to the configured interpretation bands and shows the section-level results alongside the overall result.

    • Foundation Stage, 20 to 40: Your L&D approach is at the early stages of AI-era readiness. Most development investment is focused on basic tool adoption rather than the mindset shifts, human capability investment, and role redesign that will determine long-term value. The five dimensions in this audit represent a significant strategic opportunity. The organisations that move first will have a meaningful advantage in attracting, retaining, and developing talent for what comes next.
    • Developing, 41 to 60: You have begun to move beyond basic tool training, and there are genuine areas of strength in your approach. The full strategic shift is still in progress, with likely gaps in challenge-based learning design and the deliberate development of character capabilities. The priority now is to identify the two or three highest-leverage dimensions and make good practice consistent, rather than trying to improve everywhere at once.
    • Advanced, 61 to 80: Your L&D strategy is ahead of most organisations. You have made meaningful progress across several of the five dimensions, with strong investment in human capability and emerging good practice in AI management development. The focus now is on consistency and scale — bringing your weaker sections up to the standard of your strongest, and ensuring that good practice in some functions becomes the norm across all of them.
    • Leading, 81 to 100: Your L&D approach is genuinely aligned with what the AI age requires. You are developing the human capabilities that compound in value, preparing people to manage rather than just use AI, and designing learning experiences that produce genuine professional identity shift. The risk at this level is assuming the work is done: the landscape is moving fast, and maintaining this position requires continuous review and deliberate reinvestment.

    Sources named in this diagnostic

    • Deloitte (2026) Global Human Capital Trends. London: Deloitte Insights.
    • Gallup (2026) State of the Global Workplace. Washington, DC: Gallup.
    • McKinsey Global Institute (2026) A new future of work: The race to deploy AI and raise skills. New York: McKinsey & Company.
    • Noy, S. and Zhang, W. (2023) 'Experimental evidence on the productivity effects of generative AI', Science, 381(6654), pp. 187-192.
    • Oxford Economics (2026) Future-proofing the workforce: Automation, skills and the human advantage. Oxford: Oxford Economics.
    • PwC (2026) 29th Annual Global CEO Survey. London: PwC.
    • World Economic Forum (2025) Future of Jobs Report 2025. Geneva: WEF.

    Where to take the next step

    Explore development for helping leaders and teams build the human capabilities needed for AI-related change.

    Explore AI Leadership Readiness

    Frequently asked questions

    What does the L&D AI Readiness Audit measure?

    This audit evaluates five dimensions of L&D AI readiness: mindset architecture, human-irreplaceable capability investment, AI management skills, adaptability culture, and challenge-based learning design. Based on 2026 research from Deloitte, McKinsey, PwC, and Gallup, it identifies where your L&D strategy is positioned to build lasting human advantage and where the gaps are most likely to compound over time.

    How many questions are in the L&D AI Readiness Audit?

    It contains 20 questions grouped into 5 dimensions: Mindset Architecture, Human-Irreplaceable Capability, AI Management Capability, Compounding Capabilities, Challenge-Based Learning.

    How is the L&D AI Readiness Audit scored?

    Responses are scored within each section and totalled across the diagnostic. The total is compared with the configured interpretation bands.

    What happens after I complete the L&D AI Readiness Audit?

    After the required items are answered, the existing first-name and email gate is shown before the results are displayed. The result includes an overall interpretation, section scores and development guidance.

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