Management Apprenticeship | Level 5 Operations Manager

Level 4

AI & Automation Practitioner apprenticeship

Duration

12 months + end point assessment

Qualification outcomes

Level 4 AI & Automation Practitioner Apprenticeship
Microsoft Azure AI Fundamentals certification

Audience

Professionals responsible for improving workflows, operational performance or service delivery

Funding

Fully fundable via the Apprenticeship Levy - funding band £18,000

Time commitment

Approx. 4 hours per week protected learning time

Programme overview

Aligned with the Level 4 AI & Automation Practitioner apprenticeship standard, the programme combines artificial intelligence (AI) capability with operational improvement and change leadership skills.

Delivered through the Level 4 AI & Automation Practitioner Apprenticeship, the AI and Automation Management Programme develops professionals who can identify automation opportunities, redesign workflows and implement AI responsibly to improve operational performance.

Participants build practical AI, automation and management skills while strengthening organisational capability to improve productivity, reduce manual work and embed responsible AI adoption across teams.

Skills and capabilities developed

AI-enabled operational capability

Applied workflow improvement

Responsible AI practice

Operational problem solving

Stakeholder collaboration

Transformation capability

Evidence & outcomes

Future Talent Learning programmes deliver measurable improvements in management capability and organisational performance.

Our programmes consistently achieve strong learner outcomes and employer satisfaction.

Future Talent Learning is rated “Good” by Ofsted (2024) for apprenticeship delivery.

Every participant also achieves Microsoft Azure AI Fundamentals certification.

100%

Participants report improved management capability

85%

Distinction rate across programmes, and 100% pass rate

67

Learner Net Promoter Score (NPS)

53%

Participants promoted during or after the programme

Programme positioning

Who is this
programme for?

Professionals responsible for improving operational performance, services or workflows using digital tools, automation and AI.

Typical roles include:

The programme is relevant wherever individuals are responsible for efficiency, quality or service

Operational and service improvement roles

Operations managers
Service improvement leads
Process improvement specialists
Process improvement specialists

Digital and automation roles

Digital transformation leads
Automation specialists
AI adoption champions
Workflow optimisation specialists

Project and delivery roles

Programme managers
Project managers
Implementation leads
Transformation delivery managers

Business and functional roles

HR or finance transformation leads
Operations analysts
Data-enabled decision roles
Business support managers improving workflows

Where this
programme fits

This programme builds the AI-enabled productivity capability organisations increasingly depend on to improve performance at scale.

It forms part of Future Talent Learning’s broader approach to building human, transformation and AI capability across the workforce.

Organisations typically introduce this programme when they want to build practical AI and automation capability across operational teams.

Core AI capability pathway

Supports digital transformation and workflow improvement

Strengthens responsible AI governance and adoption

Builds operational capability including problem solving and decision-making

Complements management, change and leadership capability pathways

Capabilities developed

Participants strengthen capability across six domains organisations rely on to deliver AI-enabled operational improvement.

AI capability - Applying AI tools and automation platforms to improve workflows

Operational capability - Identifying inefficiencies and redesigning processes

Human capability - Collaboration, communication and influence

Commercial capability - Prioritising automation opportunities with real ROI

Collaboration capability - Working across operational and technical teams

Transformation capability - Embedding adoption and continuous improvement

Organisational outcomes

Organisations typically use this programme to build AI-enabled productivity improvement capability across teams.

The programme builds repeatable capability to improve work through AI and automation — not just isolated technology pilots.

Identification of high-value automation opportunities

Reduced manual work and fewer operational errors

Faster processes and improved service responsiveness

More consistent and governed use of AI tools

Measurable productivity improvements across workflows

Why this programme?

Organisations are rapidly introducing AI tools and automation — but many struggle to translate these technologies into consistent productivity improvement.

The AI & Automation Management Programme, delivered as the Level 4 AI & Automation Practitioner Apprenticeship, develops professionals who can identify automation opportunities, redesign workflows and implement AI solutions responsibly while strengthening management capability required to deliver adoption and operational impact.

Book discovery call Download prospectus

Levy-funded AI capability

AI-enabled learning platform

Supported by Microsoft with AI certification

Transform workflows into AI-powered automations

Time-efficient:
learning fits the working week

The real constraint with professional development is rarely funding — it is time.

Our programmes are designed to work with the flow of real work, not compete with it.

Participants typically commit around four hours per week, combining structured learning, coaching and applied missions directly linked to their role.

This ensures development strengthens day-to-day performance while building capability for the future.

12 month programme overview

Explore the programme’s 12-month curriculum, events and study groups, or download the programme prospectus for detailed curriculum and learning outcomes.

Participants complete monthly applied missions designed to improve real workflows in their organisation. Each mission guides learners through diagnosing problems, designing improvements and delivering measurable operational impact.

Curriculum missions

Spot the opportunity

Identify automation opportunities in real workflows

Map the work (as-is)

Analyse processes, bottlenecks and failure points

Feasibility and risk scan

Evaluate data quality, viability and risk

Option design

Design improved workflows with AI and automation

Tool and platform evaluation

Assess automation tools and technology options

Solution design workshop

Define requirements and agree MVP solution

Configure low-code automation

Build pilot workflows and test improvements

Integrate and document

Connect systems and document new workflows

Test and iterate

Monitor results and refine automation

Adoption and training

Support users and embed new workflows

Governance and assurance

Implement controls, documentation and oversight

Measure value and scale

Demonstrate ROI and expand improvements

Live learning events

Participants join 60–90 minute interactive workshops exploring both AI capability and the management skills required to implement automation successfully in organisations.Sessions combine automation design, operational improvement and management capability such as communication, influence and change adoption.

Which automations really matter?

Identify high-value automation opportunities with measurable impact.

Process mapping for automators

Map workflows to identify bottlenecks and automation opportunities.

Responsible & ethical AI

Apply governance, ethics and accountability in AI systems.

Selecting from the tool landscape

Evaluate automation and AI tools for organisational needs.

Human-in-the-loop-design

Design workflows balancing automation with human oversight.

Running a solution design workshop

Facilitate collaborative workshops to define automation solutions.

Building reliable workflows

Design dependable automations that handle real-world complexity.

Prompt engineering for better outputs

Improve AI performance through structured prompting techniques.

Integration basics for non-engineers

Understand APIs, authentication and data connections between systems.

Driving adoption of automation

Support teams adopting new workflows and automation tools.

Governance and audit readiness

Ensure automations meet governance, compliance and audit requirements.

Proving value and ROI

Measure productivity improvements and communicate automation impact.

Facilitation

Lead structured discussions and collaborative problem solving.

Change leadership

Support teams adapting to automation and new ways of working.

Storytelling

Communicate ideas, insights and improvement outcomes clearly.

Relationship building

Build trust and collaboration across teams and stakeholders.

Leading change

Support teams through change and organisational transformation

Collaboration

Work effectively across operational, digital and technical teams.

Problem solving

Use structured thinking to diagnose and solve complex problems

Stakeholder management

Align stakeholders around automation priorities and improvement goals.

Live peer study groups

Participants join regular facilitated study groups with peers on the programme to reflect on learning and apply new ideas to real workplace challenges. Led by an FTL coach, these 45-minute sessions provide a structured space to discuss the practical realities of applying AI and automation responsibly while learning from others tackling similar operational problems. Topics vary, and include:

Responsible AI in practice

Discuss ethical use of AI in operational decisions

Automation opportunities

Share examples of workflow improvements

Human oversight in AI

Explore human-in-the-loop design approaches

Adoption challenges

Discuss barriers to automation adoption

Governance and compliance

Discuss standards and controls for AI usage

Improving operational workflows

Share practical automation examples

Facilitating improvement discussions

Practise leading structured problem solving sessions

Leading AI adoption in teams

Discuss how managers support colleagues using AI tools

Decision-making in automation projects

Balance efficiency, risk and organisational priorities

Operational improvement mindset

Share approaches to continuous workflow optimisation

Collaborating with technical teams

Work effectively with engineers and data specialists

Balancing automation and judgement

Decide where human decisions remain critical

Managing risk in AI projects

Share approaches to risk mitigation

Building AI capability across teams

Explore how organisations scale adoption

Measuring productivity improvements

Discuss metrics and impact measurement

Continuous improvement with AI

Embed iterative optimisation in workflows

Structured learning: approx. 4 hours per week

50%

AI-enabled learning + human coaching + interactive workshops

Participants build capability through a blend of:

• self-paced learning modules
• interactive live workshops
• guided exploration using AI learning tools
• peer study groups and coaching support.

These sessions introduce practical frameworks, tools and approaches that can be applied immediately at work.

Applied learning in the workplace: approx. 4 hours per week

50%

Applied & project-based learning

Participants apply learning directly to real workplace challenges through monthly missions and work-based workflows.

This ensures development is:
• immediately relevant
• visible to the organisation with measurable productivity improvements
• embedded in day-to-day performance
• Learning strengthens existing work — rather than sitting alongside it.

Real workplace challenges drive learning.

Participants apply new skills directly to their role through structured monthly missions linked to real organisational priorities.

An outstanding programme to accelerate the development of future leaders. — Roger Minton, Head of Leadership, Anglo American

FTL’s highly customised programme has become the core of our management development strategy. The FTL team are slick, knowledgeable, responsive and a pleasure to work with. - Nick Dormor, Senior Learning Specialist, Babcock

FTL provides top-tier, highly engaging, innovative and effective methods of learning, leading to high success rates and impact that line managers can observe. — Ofsted, Sept 2024

Frequently asked questions about the Level 5 Operations Manager Apprenticeship programme

See our full FAQs page for more information or contact us if you have any questions.

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