A Manager's Guide to the AI for People Leaders Apprenticeship (Level 4)
Support your team leader through a transformation that fuses AI literacy with people leadership. Over 15 months, watch them become the bridge between your organisation's AI strategy and your team's ability to embrace it.
Your team leader has enrolled on the AI for People Leaders Level 4 apprenticeship. It's a pivotal investment—for them and for your organisation. Over the next 15 to 18 months (plus Gateway and EPA), they'll transform into a leader who understands AI deeply, can guide their team through change, coach people through AI adoption, and make decisions that balance business opportunity with human impact.
But here's the critical part: their success—and the success of this programme for your organisation—depends significantly on your support and sponsorship. This guide is for you. It explains what they'll learn, the real changes you'll see in how they lead, and—most importantly—how you can actively coach and champion them through each phase to maximise the return on this investment.
The AI for People Leaders L4 is not a technical deep dive. It's not just another leadership programme. It's designed specifically for people leaders—team leaders, shift managers, section leaders, project coordinators—who need to lead teams through and with AI. It fuses AI literacy (ethics, governance, tools, data, security) with people leadership (coaching, change management, communication, conflict resolution, team development). That fusion is rare, and it's where the real value lives.
Why This Programme Is Different
Most leadership development treats AI as a topic to cover. The AI for People Leaders L4 is the opposite: it's leadership development that happens through the lens of AI adoption and transformation. Your learner won't study "change management theory"—they'll learn to lead their team through real AI-driven changes. They won't discuss "ethical decision-making in the abstract"—they'll wrestle with genuine dilemmas about AI fairness, bias, and impact on their people.
The TESS Group Difference
- Coaching from L5 Coaching Professionals — your learner gets 1-to-1 support from a Coaching Professional (Level 5 qualified) who helps them apply AI and leadership insights to real team challenges
- Pre-course manager briefing — we meet with you (1-to-1 or with your leadership team) before day one so you understand what's ahead and can set the right context
- Group manager sessions — throughout the programme, we bring together all the managers of learners in the cohort to keep you informed, share peer insights, and problem-solve together
- Closed cohorts where possible — they learn with peers from your organisation or sector, so learning can be applied immediately to shared challenges
- 14 modules across 4 phases — no skipping topics or treating them as optional. AI ethics, governance, data, security, and change management run through the entire journey
- Four formal qualifications — they earn CMI Level 3 (Leadership & Management), NCFE L3 Data, NCFE L3 CQ AI Prompt Mastery, and Microsoft AI Business Professional (AB-730)
- Nationwide delivery — delivered online via Zoom and Teams, no travel required
Bottom line: you're getting a leader who comes back as your organisation's AI champion—someone who can guide your team through change with confidence, compassion, and clarity.
The 14 Modules: What Your Leader Will Learn
The programme is organised into 4 phases over 15 to 18 months. All 14 modules run in parallel with coaching, reflection, and real-team application. Here's what you'll see changing in how they think, how they lead, and how your team experiences change:
1AI Ethics & Values
Phase 1 — Months 1–3
Bias, fairness, responsibility, and trust. Why ethical AI matters for reputation, regulation, and team morale.
Manager tip: Ask them to present back on ethical considerations relevant to your team. They'll start flagging AI risks you hadn't considered.
2Governance, Law & GDPR
Phase 1 — Months 1–3
Data protection, legal frameworks, regulatory compliance, and when to escalate to Legal or Compliance.
Manager tip: Have them audit your team's current data handling practices. They'll spot compliance gaps before your external auditors do.
3Leadership Styles & Communication (CMI 301 & 304)
Phase 1 — Months 1–3
Action-centred leadership, situational leadership, transformational approach, and presentation skills.
Manager tip: Give them opportunities to lead team meetings or present updates. Watch their confidence and influence grow visibly.
4Spotting Waste & Inefficiency
Phase 2 — Months 4–7
Lean thinking, process mapping, value stream analysis, and identifying where AI adds genuine value.
Manager tip: Ask them to map one of your team's key processes. The insights will surprise you both—and generate 3–5 concrete automation opportunities.
5No-Code Automation Tools
Phase 2 — Months 4–7
Hands-on practice with Zapier, Power Automate, Make, and other low-code platforms. Building real automations.
Manager tip: Give them a real repetitive task to automate. Let them demo it to the team. Expect quick wins.
6Building for People — Human-Centred AI Design
Phase 2 — Months 4–7
Augmentation, not replacement. Change management, resistance, and bringing people along.
Manager tip: Discuss openly which team members might resist AI adoption. Co-create a transition plan together. They'll learn to frame automation as "freeing people from tedious work."
7Developing Individuals & Managing Your Team (CMI 303 & 307)
Phase 2 — Months 4–7
Coaching through change, feedback, development needs, and creating psychological safety around AI adoption.
Manager tip: Pair them with a team member who needs development support. Let them practise coaching skills in a safe environment. This is where leadership and AI learning intersect most powerfully.
8Data-Driven Decision Making (includes NCFE Data Cert)
Phase 3 — Months 8–11
Analytics, dashboards, storytelling with data, and how to challenge anecdotes with evidence.
Manager tip: Set them a challenge to bring data-backed evidence to your next strategic discussion instead of gut feel. This shifts the whole conversation.
9Change Management & AI Impact
Phase 3 — Months 8–11
How AI reshapes roles, skills, and structures. Managing disruption with empathy. Future-proofing your team.
Manager tip: Discuss openly which roles in your team will change. Co-create a transition and upskilling plan together.
10AI Risk & Security
Phase 3 — Months 8–11
Prompt injection, model risks, data leaks, guardrails, and governance for safe adoption.
Manager tip: Ask them to run a risk review of any AI tools your team currently uses. They'll spot vulnerabilities and help you tighten up faster.
11Supporting Teams Through Change & Resolving Conflict (CMI 310 & 309)
Phase 3 — Months 8–11
Leading through AI-driven workplace change, handling resistance, facilitating difficult conversations, conflict resolution.
Manager tip: If there's tension about new tools or processes, let your learner practise facilitation and conflict resolution. This is gold.
12Agile Testing & Piloting
Phase 4 — Months 12–14
Running AI pilots, MVP thinking, iterating fast, measuring ROI, and proper governance for experimentation.
Manager tip: Sponsor their pilot. Give them budget sign-off for a small AI experiment. Champion it upward. This is where theory becomes business value.
13Winning AI Support & Buy-In
Phase 4 — Months 12–14
Stakeholder management, business cases, getting board and leadership buy-in, pitching AI confidently.
Manager tip: Get them presenting to senior leadership. This is where they prove ROI and become your organisation's visible AI champion.
14Microsoft Copilot in Practice (AB-730 Prep)
Phase 4 — Months 12–14
Hands-on Copilot across Word, Excel, Teams, Outlook, and PowerPoint. Certification preparation.
Manager tip: They'll become your team's Copilot champion. Let them run lunch-and-learn sessions. They'll drive adoption faster than any top-down mandate.
How TESS Works With You
We don't enrol your learner and disappear. Here's how we partner with you as their manager:
Before Day 1: Setting Up Success
We meet with you (1-to-1 or with your leadership team) to brief you on what's ahead, answer your questions, and help you create the right context for your learner. We'll discuss what they'll be expected to contribute to your team and how you can support them. This conversation shapes everything.
During the Programme: Keeping You Informed and Engaged
- Group manager sessions: Every 6–8 weeks, we bring together all managers of learners in the cohort. You'll hear what the cohort is learning, share peer insights, troubleshoot challenges, and align on how to support real-team application.
- 1-to-1 coaching for your learner: They work with an L5 Coaching Professional who helps them translate learning into action in your team. Your learner will come back to you with ideas grounded in real challenges.
- Quarterly check-ins with you: We stay in touch to make sure they're on track, to discuss any obstacles, and to celebrate wins.
How to Support Them: Your Role
The strongest apprenticeships succeed when the manager plays an active coaching role. Here's what that looks like:
💡 Phase 1 (Months 1–3): Foundations
Your learner is absorbing a lot: AI concepts, governance, leadership models. They might feel overwhelmed. Your job: give them permission to think, ask questions, and challenge assumptions. Ask them "What's the most surprising thing you've learned this week?" and listen. Celebrate their intellectual courage.
🔧 Phase 2 (Months 4–7): Building & Coaching
They're learning to build real automations and coach people through change. Give them space to experiment and fail safely. Assign them a team member to coach or a process to automate. Let them own something. Debrief with them—what worked? What would they do differently?
📊 Phase 3 (Months 8–11): Advanced & Leading Change
They're learning advanced data thinking, change management, and conflict resolution. Real team challenges will surface. Let them lead through them with your backing. If there's tension about a new tool, let them facilitate. If there's resistance to AI adoption, let them co-create a transition plan. You're coaching them by giving them stretch opportunities.
🏆 Phase 4 (Months 12–14): Mastery & Impact
They're piloting AI solutions, building business cases, and stepping into their role as your organisation's AI champion. Sponsor their pilots. Get them presenting to leadership. Help them see that the transformation is real—they're no longer learning about AI, they're driving it.
The Four Qualifications Your Learner Will Earn
Throughout this 15–18 month journey, your learner will earn four formal qualifications:
- CMI Level 3 in Leadership & Management — the gold standard in management qualification, covering action-centred leadership, team development, and change leadership
- NCFE Level 3 Certificate in Data — practical data literacy, analytics, and decision-making with data
- NCFE Level 3 CQ AI Prompt Mastery — certified expertise in AI tools, prompt engineering, and responsible AI use
- Microsoft AI Business Professional (AB-730) — industry-recognised certification in Copilot proficiency across Office 365
These aren't certificates to hang on the wall. They're evidence of real capability. Your leader will be able to lead teams through AI adoption, coach people through change, manage risk, and drive business impact with confidence.
Who Pays? The Funding Story
- £0 cost to your learner — fully funded by the Apprenticeship Levy (for levy-paying employers) or government co-funding
- 5% co-investment for SMEs — small employers contribute 5% towards delivery costs, with government covering the rest
- Your ROI: One skilled leader who can drive AI adoption, reduce inefficiency, improve team resilience, and deliver measurable business impact
Questions Managers Ask
Both. That's the point. Most leadership development ignores AI. Most AI training ignores people. This programme fuses them. Your learner will study AI ethics, governance, tools, and data—but always through the lens of leading teams through AI adoption. They'll study change management, coaching, and conflict resolution—but always in the context of AI-driven change. By the end, they won't have separate "AI skills" and "leadership skills." They'll have integrated AI-leadership capability. That's rare and valuable.
No coding required. This is for leaders, not technologists. They'll learn to work with no-code automation tools (Zapier, Power Automate, Make) and understand AI systems deeply—enough to make smart decisions about adoption, risk, and team impact. But they won't be writing code or managing IT infrastructure. The programme assumes zero technical background.
The programme is blended: mostly online, with periodic in-person or video coaching sessions. Your learner will spend roughly 2–3 hours per week on structured learning, plus time on real-team application and projects. No sitting in a classroom all week. They stay in your team, doing their day job, while learning and growing. That's the power of apprenticeships—learning happens in context, not in isolation.
Absolutely. In fact, cohorts work best when multiple leaders from the same organisation learn together. They can apply learning collaboratively, support each other, and align on AI strategy. We can run closed cohorts (just your people) or open cohorts (mixed organisations). Either way, peer learning is built in.
Completion rates are high—85%+ for learners whose managers are actively engaged. The key is sponsorship and support from you. Learners who feel backed by their manager, given stretch opportunities, and coached through challenges almost always succeed. The ones who struggle are typically those whose managers see it as a compliance exercise rather than an investment.
Retention depends on how you treat them after completion. If you recognise their new capability, give them meaningful work, and involve them in your AI strategy, they'll stay and drive impact. If you ignore their development and expect them to go back to their old role unchanged, you risk losing them. Think of this as retention investment: you're developing a leader who can drive AI adoption, improve team resilience, and deliver business value for years to come.
The Bottom Line
The AI for People Leaders L4 is a 15–18 month investment in a leader who will become your organisation's bridge between AI strategy and team capability. They'll return with:
- Deep AI literacy across ethics, governance, tools, data, and security
- People leadership skills—coaching, change management, conflict resolution—grounded in real team challenges
- Four formal qualifications (CMI L3, NCFE Data & AI, Microsoft AB-730)
- Confidence to lead teams through AI adoption with empathy and clarity
- Real business impact—faster decisions, less waste, better team resilience
Your role as their manager is to sponsor them, coach them through each phase, give them stretch opportunities, and champion the impact. When you do that, completion rates soar and ROI is measurable.
Ready to Develop Your Leader?
Let's discuss how the AI for People Leaders L4 can transform your team's approach to AI adoption and change.
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