Clarity
Employers

Artificial Intelligence (AI) and Automation for Team Leaders & Managers

Develop practical skills to identify, design, and deliver AI-enabled automations and workflow improvements — built specifically for team leaders and managers. Boost your team’s productivity, eliminate manual processes, and drive operational excellence from the inside out.

Part of our Management Courses

HR managers discussing workforce development goals and apprenticeship levy training opportunities

Course Overview

Equip your team leaders and managers with the real-world skills to transform how their teams and organisations work through the practical design and delivery of AI-enabled automations. This programme is contextualised specifically for management roles — meaning every module, tool, and project reflects the workflows, decisions, and responsibilities your managers encounter day to day.

 

Apprentices will learn to analyse management and organisational workflows, identify automation opportunities, and build and configure low-code and no-code solutions that solve real business problems. Rather than abstract theory, learners gain immediately applicable skills in automating reporting, streamlining team communications, improving performance tracking, reducing administrative burden, and driving continuous improvement — all within their own job role and organisation.

Core Capabilities

AI-Assisted Management Practice

Workflow Analysis & Automation

Low-Code/No-Code Solution Design

Leading AI-Driven Change

Change Support & Adoption

Data-Driven Decision Support

Ethical, Safe & Secure AI Use

Stakeholder Communication

Team Performance & Productivity

Strategic AI Evaluation

Continuous Improvement

Organisational Benefits

Enhanced Team Productivity:

AI-literate managers identify and implement automation opportunities that free their teams from repetitive tasks — redirecting time towards higher-value, strategic work and measurably improving team output.

Stronger AI Leadership at Every Level:

When managers understand and champion AI, adoption cascades through their teams. A single investment in one manager multiplies its impact across the entire workforce they lead.

Responsible AI Adoption:

Managers learn to introduce AI tools safely and ethically, addressing team concerns, managing risk, and ensuring your organisation builds a culture of trusted, compliant AI use aligned to legal and governance frameworks.

Smarter Strategic Decision Making:

Build leaders who can evaluate AI investment decisions confidently, contribute to organisational AI strategy, and use data-driven insights to improve performance across their function.

Curriculum Plan

Phase 1
Module 1
Introduction to AI, Automation and Management Fundamentals
  • Understand AI and automation concepts through a management lens — exploring how these technologies are reshaping how teams are led, how decisions are made, and how work gets done. Analyse team workflows and processes to identify inefficiencies and opportunities for AI-enabled improvement.
Module 2
Tools, Platforms and Evaluation Techniques
  • Explore AI and automation tools relevant to management practice — including Microsoft Copilot, Power Automate, AI writing assistants, and reporting tools. Learn to assess suitability, evaluate risks, and prioritise solutions that align with your team's needs and organisational goals.
Module 3
Responsible AI & Digital Ethics
  • Understand ethical considerations, data security, privacy, bias mitigation, and legal frameworks essential for safe and compliant AI deployment. Learn how to model responsible AI use as a leader and establish team norms that protect both people and the organisation.
Phase 2
Module 4
Workflow Design & Solution Prototyping
  • Design streamlined management processes and build AI-powered workflows that reduce manual effort. Configure solutions to address real management challenges — from automated reporting and meeting summarisation to performance tracking and team communications.
Module 5
Testing, Documentation & Quality Assurance
  • Develop, document, and test AI-enabled solutions within a management context. Evaluate performance, refine workflows, and ensure solutions meet operational and governance requirements before wider rollout.
Phase 3
Module 6
Leading AI adoption in your team
  • Facilitate confident AI adoption across your team — communicating the benefits, addressing concerns, supporting colleagues through change, and creating a culture where AI is used safely and enthusiastically. Develop practical skills to guide and inspire others through technological transition.
Module 7
Communication & Stakeholder Engagement
  • Communicate progress, collaborate across teams and maintain effective reporting to managers and key stakeholders.
Module 8
Continuous Improvement & Performance Monitoring
  • Monitor, refine, and measure the impact of AI and automation solutions using team productivity and performance data. Stay current with emerging AI tools and evaluate their relevance to your management role and organisational context.
Gateway and independent preparation for end point assessment (EPA) 18-21 Months
  • Showcase project portfolio
    Present evidence of implemented solutions
    Participate in professional discussion and reflective evaluation

Monthly Delivery Model

Structured Learning - 6 Hours
2 Hours

Team Leader & Management Tutor-Led Session

Expert-led interactive sessions designed to build core management knowledge, strengthen professional capability, and develop the practical skills needed to lead effectively in an AI-enabled workplace. Sessions are aligned to the apprenticeship standard and focused on real management application.

2 Hours

AI Tutor-Led Session

Forward-thinking mentoring sessions that introduce learners to AI-powered tools, automation, and no-code or low-code solutions that can improve efficiency across administrative tasks. Employers benefit from learners developing innovative ways to streamline processes, reduce manual workloads, and enhance operational productivity.

2 Hours

Assignments and Assessments

Practical assignments and assessments that reinforce learning, measure progress, and ensure learners can confidently apply their knowledge in the workplace. Activities are designed around real business scenarios to maximise relevance and impact for both the learner and employer.

Workplace-Based Application - 20 Hours
20 Hours

Work-Based Tasks

Structured workplace activities designed to enable learners to apply newly acquired knowledge and skills directly within their management role and organisation. This approach supports immediate improvements in team productivity, operational efficiency, and AI adoption, while helping employers embed best practices into day-to-day management functions. By applying learning in real organisational contexts, employers benefit from enhanced performance, increased capability, and continuous workplace improvement.

Approx 26 hours per month

How We Ensure Success

Measurable Impact

Employers see reduced administrative overhead, better staff retention, and measurable productivity gains at minimal cost through government-funded training.

Applied Learning

Training is contextualised to each learner's management role and sector, with fully online delivery designed to fit around operational demands and busy leadership schedules.

Guided by Experts

Apprentices receive continuous support from a dedicated coach with expertise in both AI and automation tools and real-world management and leadership practice.

Transform Careers

Managers who complete this programme become internal AI champions — unlocking career progression, inspiring their teams, and positioning their organisation ahead of the curve on AI adoption.

Key info

Level 4

AI and Automation Practitioner

Rated outstanding by Ofsted(opens new window).

Duration

Typical duration: 18 months

Eligibility Requirement

Age: Applicants must be 16 years or older at the start of the apprenticeship.

Right to Work: The individual must have the legal right to work in England and be employed in a role that supports their apprenticeship.

Residency:

  • Must have been ordinarily resident in the UK for at least 3 years prior to the apprenticeship start date and must have the right to live and work in the UK for the full duration of the apprenticeship.
  • Post-Brexit, EEA citizens must have settled or pre-settled status.
  • Must be resident in England

Employment:  The apprentice must be employed in a role relevant to the apprenticeship standard or start a new job that fits the programme content.

Education:

  • GCSE Grade 4/C or above in English and Maths is the desired benchmark.
  • If not already achieved, Functional Skills Level 2 in English and Maths must be achieved before EPA. (if applicable)
  • Note:Functional Skills training and assessment is funded as part of the apprenticeship for eligible learners.

No Dual Enrolment: Apprentices must not be enrolled on another training programme funded or non funded at the same time as the apprenticeship.

Role Relevance:The apprentice’s role must allow them to develop the knowledge, skills, and behaviours outlined in the standard.

New Learning:

  • The apprentice must not have previously achieved the same or equivalent learning outcomes as covered in the apprenticeship.
  • Prior qualifications in related areas do not necessarily make a learner ineligible, unless they significantly overlap.

Fully- or Co-funded

Eligible for full Levy funding

Price: £18,000