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    Interactive assessment

    4C Leadership Audit

    Assess your current practice across the four dimensions of leading an augmented team: Connection, Clarity, Capability, and Conscience.

    This audit is based on the 4C Framework for leading augmented teams — a research-backed model addressing the four adaptive challenges leaders face as AI becomes part of how their teams work. Frontline leaders are three times more likely than executives to express concern about AI (DDI, 2025), yet most leadership development in this area focuses on organisational strategy rather than individual leader practice. This audit helps you identify where your leadership is strongest and where to focus your development.

    Questions or items
    20 questions or items
    Completion time
    Around 12 minutes
    Dimensions
    Connection, Clarity, Capability, Conscience
    What you receive
    Personalised results with configured interpretation bands, section scores and development guidance.

    What it covers

    • Connection
    • Clarity
    • Capability
    • Conscience

    Rate each statement from 1 (Rarely or never) to 5 (Consistently and well). Be honest — the audit is most useful when it reflects your actual practice rather than your intentions.

    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.

    Connection

    Relational trust, psychological safety, and the courage to lead openly through uncertainty. Xu et al. (2025) found that ethical leadership is the primary protective factor against the psychological harm of AI adoption — this pillar develops that capability.

    1. I hold honest team conversations about how augmented working is changing our area, naming both the opportunities and the anxieties
    2. I share my own learning edges and uncertainties about AI openly with my team, rather than projecting confidence I do not have
    3. When a team member resists a new tool or way of working, I approach it with curiosity about their specific barriers rather than pressure or assumption
    4. My team has an agreed approach for when AI recommendations and human judgement differ
    5. I act visibly on concerns my team raises about AI adoption, so that speaking up is worth the effort

    Clarity

    Transparent communication, role definition, and expectation setting in augmented workflows. When AI handles part of a workflow, accountability must be made explicit — it does not emerge automatically (Buell and Kagan, 2026).

    1. I have mapped at least one key workflow with my team to show clearly which tasks are automated and which require human judgement
    2. My team knows who is accountable for the final output of AI-assisted processes in our area
    3. I communicate regularly and honestly about how augmented working is affecting roles, priorities, and workload in my team
    4. Each team member can clearly describe how their role is evolving alongside AI, and I have addressed any gaps or misconceptions
    5. There is a clear, documented escalation pathway for when AI outputs seem wrong, uncertain, or raise concerns

    Capability

    AI fluency, orchestration skills, and building team competence for augmented working. 85% of desk workers are learning about AI entirely outside of work, and 59% cite inadequate organisational support as a barrier (EY, 2025). Capability is the pillar that changes this.

    1. I dedicate protected time to developing my own understanding of AI tools relevant to my function
    2. I identify which repetitive tasks in my team's workflow could be augmented and ensure appropriate human oversight is defined
    3. I create peer learning opportunities where more confident team members share AI skills with less confident colleagues
    4. I run regular team retrospectives on how augmented working is going, focusing on what worked, what failed, and what to develop next
    5. I approach AI experimentation in my team as a learning process, treating mistakes as information rather than failure

    Conscience

    Ethical governance, responsible oversight, and values-led decision making. McKinsey (2026) argues leaders must model ethical AI behaviour through their own actions — governance frameworks are not enough on their own.

    1. I regularly review AI-generated outputs with my team, discussing accuracy, limitations, and where bias might be entering results
    2. I have identified at least one scenario in my area where automation could cause harm if unsupervised and established an oversight protocol
    3. I raise governance questions upward when I believe they have not been adequately addressed at the organisational level
    4. I check in regularly with the team members whose roles are most affected by AI changes to understand their wellbeing and sense of agency
    5. I can clearly explain where human accountability sits for every AI-assisted process in my team

    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, 20 to 44: Your practice across the four dimensions of leading an augmented team is at an early stage. This is not a criticism — most leaders have not received specific development for this challenge, and the research is clear that AI adoption creates genuinely new leadership demands. The good news is that the 4C Framework gives you a structured monthly practice to build from. Start with Connection: hold one honest team conversation this week about how AI is changing your area. Name both the opportunities and the anxieties. Share your own uncertainty. That single action, done well, creates the foundation for everything else.
    • Developing, 45 to 64: You have genuine strengths across the four pillars, and areas where your practice is less consistent. The most valuable next step is to look at your section scores and identify the two lowest. For those areas, pick one specific action and make it your focus for the next four weeks. The 4C Framework is designed to be built incrementally — you do not need to transform everything at once. Focused improvement in your weakest pillar often unlocks progress in the others, because the pillars are interconnected.
    • Practising, 65 to 84: Your leadership practice across the 4C dimensions is solid, with clear areas of strength and some dimensions you are still developing. You are likely doing this work well instinctively but without always naming it as deliberate practice. The value at this stage is in making your practice more intentional and consistent. Review your section scores to identify where you are strongest and where there are gaps. Consider how you can share your approach with other leaders in your organisation — leaders at this level of practice often have as much to teach as to learn.
    • Leading, 85 to 100: Your practice across Connection, Clarity, Capability, and Conscience is at a high level. You are demonstrating the kind of leadership that research shows is the primary protective factor for teams navigating AI adoption. The risk at this stage is assuming the work is done. The landscape is changing rapidly, and each pillar requires ongoing attention rather than one-time achievement. Consider whether you are actively modelling and sharing these practices with others — leadership at this level has organisational impact beyond your own team.

    Sources named in this diagnostic

    • Buell, R. and Kagan, J. (2026) What Leadership Looks Like in an Agentic AI World. Harvard Business School Working Knowledge.
    • DDI (2025) Global Leadership Forecast 2025. Development Dimensions International.
    • Edmondson, A. (2019) The Fearless Organization. Hoboken: Wiley.
    • EY (2025) EY Survey Reveals Majority of Workers Are Enthusiastic About Agentic AI. EY Newsroom.
    • Heifetz, R., Linsky, M. and Grashow, A. (2009) The Practice of Adaptive Leadership. Boston: Harvard Business Press.
    • McKinsey & Company (2026) Six Shifts to Build the Agentic Organization of the Future. McKinsey Organization Blog.
    • Xu, G. et al. (2025) The dark side of artificial intelligence adoption. Humanities and Social Sciences Communications, 12(1).

    Where to take the next step

    Our leadership development programmes are bespoke, research-grounded and built around the human capabilities that drive lasting performance.

    Explore Leadership Development

    Frequently asked questions

    What does the 4C Leadership Audit measure?

    This audit is based on the 4C Framework for leading augmented teams — a research-backed model addressing the four adaptive challenges leaders face as AI becomes part of how their teams work. Frontline leaders are three times more likely than executives to express concern about AI (DDI, 2025), yet most leadership development in this area focuses on organisational strategy rather than individual leader practice. This audit helps you identify where your leadership is strongest and where to focus your development.

    How many questions are in the 4C Leadership Audit?

    It contains 20 questions grouped into 4 dimensions: Connection, Clarity, Capability, Conscience.

    How is the 4C Leadership 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 4C Leadership 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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