United Kingdom · Compliance, quality and safety · Lead (8-12 years)

Lead Customer Quality Engineer

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

See how AI is changing this job, and get the full read by email.

As a Lead Customer Quality Engineer, a good place to start on AI-Powered Quality Insights & Automation is Planning Automation Across a Department, a free Future Fluency module at Level 5. You'd practise working out what in your department's work could be automated, what should not be, and what to recommend.

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One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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  • Experience bandLead (8-12 years)
  • Direct reports3-8 reports
  • Reports toCustomer Quality Manager
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Staff Customer Quality Manager · Principal Quality Specialist · Quality Programme Lead · Senior Quality Improvement Lead

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

1From this job to a course

The qualifications matched to this job

IAO Level 5 Diploma in Leadership and Management Innovate Awarding · Level 5 · covers 1 of 11 standards
GQA Level 5 Diploma in the Practice of Process Safety Management GQA Qualifications Limited · Level 5 · covers 1 of 11 standards
EAL Level 4 Diploma in Engineering and Advanced Manufacturing (Development Competence) Excellence, Achievement & Learning Limited · Level 4 · covers 3 of 11 standards
EAL Level 4 NVQ Diploma in Engineering Manufacture Excellence, Achievement & Learning Limited · Level 4 · covers 3 of 11 standards
EAL Level 4 NVQ Extended Diploma in Engineering Manufacture Excellence, Achievement & Learning Limited · Level 4 · covers 3 of 11 standards
ETCAL Level 3 NVQ Diploma in Engineering Technical Support ETC Awards Limited · Level 3 · covers 2 of 11 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Managing quality and quality systems IAO Level 5 Diploma in Leadership and Management
Understand how to comply with the relevant Regulations, Industry Standards and Management Requirements for Process Safety GQA Level 5 Diploma in the Practice of Process Safety Management
Implement quality assurance methods and procedures EAL Level 4 Diploma in Engineering and Advanced Manufacturing (Development Competence)
Implementing Quality Control Systems and Procedures in an Engineering Environment ETCAL Level 3 NVQ Diploma in Engineering Technical Support

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Automation Fluency building AI into how work runs
Change Fluency taking people through change
Your Plan Illustration

Built for Lead Customer Quality Engineer

4 units that map to this job, from the qualifications that cover it.

  1. Managing quality and quality systems Innovate Awarding · covers 1 of 11 standards Level 5
  2. Understand how to comply with the relevant Regulations, Industry Standards and Management Requirements for Process Safety GQA Qualifications Limited · covers 1 of 11 standards Level 5
  3. Implement quality assurance methods and procedures Excellence, Achievement & Learning Limited · covers 3 of 11 standards Level 4
  4. Implementing Quality Control Systems and Procedures in an Engineering Environment ETC Awards Limited · covers 2 of 11 standards Level 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Lead Customer Quality Engineer?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • AI-Powered Quality Insights & Automation
  • Digital Quality Transformation Leadership
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Lead Customer Quality Engineer plan as you set up, starting with the free Automation Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

A Lead Customer Quality Engineer investigates why problems happen and designs changes to stop them recurring. The role involves leading quality programmes and mentoring other engineers.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Quality Management System (QMS) - MasterControl, ETQ Reliance, Veeva QualityDocs Advanced

Configuring workflows for CAPAs and non-conformances, authoring new SOPs within the system, training your team on QMS usage, and building custom reports and dashboards for programme monitoring.

CRM / Service Desk - Salesforce Service Cloud, Zendesk, ServiceNow CSM Advanced

Creating complex reporting on complaint trends, designing automated case routing rules, and integrating CRM data with the QMS to ensure a seamless flow of customer feedback into quality investigations.

Statistical Analysis Software - Minitab, JMP, Excel (Advanced Statistics, Power Query) Expert

Independently performing complex analysis (Gage R&R, Design of Experiments, capability analysis), interpreting results for critical quality programmes, and mentoring your team on advanced techniques.

Enterprise Resource Planning (ERP) - SAP S/4HANA (QM Module), Oracle NetSuite Intermediate

Tracing full product lineage (from raw material to customer) and extracting large datasets for in-depth quality analysis and investigation support across your programmes.

Business Intelligence (BI) - Power BI, Tableau, Qlik Sense Advanced

Building and maintaining complex dashboards that connect multiple data sources (QMS, CRM, ERP) to provide holistic quality insights for your programmes and for presentation to leadership.

Collaboration & Document Control - SharePoint, Confluence, MS Teams Advanced

Managing document control workflows for quality documentation, setting up project sites for your programmes, and championing best practices for knowledge sharing within your team and across departments.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Root Cause Analysis Methodology Follows prescribed methodology (e.g., 5 Whys) as directed by supervisor. Chooses appropriate RCA tool (e.g., Fishbone, 5 Whys) for routine cases; consults on complex ones. Selects and applies advanced RCA techniques (e.g., Fault Tree Analysis, Kepner-Tregoe) for complex issues; recommends methodology for team.
CAPA Plan Approval Drafts initial CAPA actions for supervisor review. Proposes CAPA actions and seeks approval from supervisor/functional owner. Approves CAPA plans for individual cases within their workstream, consulting with functional owners.
Budget Allocation for Quality Improvement No budget authority; requests resources through supervisor. Identifies resource needs for individual investigations; submits requests to manager. Recommends budget for specific projects up to £5K; consults Director on larger spend.
Team Hiring & Performance No direct reports. No direct reports; may informally guide new joiners. Mentors 0-2 junior analysts; provides input on their performance to manager.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Reduction in Recurring Non-conformances
The percentage decrease in repeat customer complaints or quality issues for the product lines or processes you oversee.
Target · Reduce recurring issues for assigned product line by 15% year-on-year

If Product X had 100 recurring complaints last year, you'd aim for 85 or fewer this year. That means your fixes are actually working.

CAPA On-Time Completion Rate
The percentage of Corrective and Preventive Actions (CAPAs) under your programme leadership that are completed on schedule, including their 'effectiveness checks'.
Target · Achieve 95% on-time completion for all CAPA stages you lead

If you're leading 10 CAPAs, 9.5 of them (so, 9 or 10) should hit all their investigation, implementation, and verification deadlines. No 'pencil-whipping' allowed.

Mentee Performance Improvement
The measurable improvement in the performance and capabilities of the junior analysts you mentor, often leading to their readiness for promotion.
Target · Mentor 2 analysts to promotion-ready status within 18 months

One of your mentees, Sarah, improved her Root Cause Analysis skills from 'needs guidance' to 'independent' and successfully led two medium-complexity investigations, making her ready for a Senior Analyst role.

Programme Budget Adherence
How well you manage the allocated budget for your specific quality improvement programmes, ensuring spend aligns with planned activities.
Target · Maintain programme spend within ±5% of allocated budget

If your programme budget for a new testing methodology was £100,000, you'd aim to spend between £95,000 and £105,000, showing good financial control.

Strategic Influence on Product Quality
Your ability to influence product design and process changes upstream, preventing quality issues before they even become 'escapes'.
  • You're regularly invited to early-stage product design reviews. Product and Engineering teams proactively seek your input on new features or process changes. Your recommendations are visibly incorporated into design specifications or manufacturing instructions.
Team Development & Engagement
The growth and engagement of your direct reports, fostering a positive and high-performing team environment.
  • Your team members consistently meet or exceed performance expectations. They report high job satisfaction in internal surveys. You're seen as a fair and supportive leader. Your team takes initiative and shows strong problem-solving skills.
Effectiveness of Systemic Solutions
The quality and long-term impact of the solutions you design and implement to address systemic quality problems.
  • Your CAPAs consistently pass 'effectiveness checks' with strong data. Solutions are adopted across relevant departments. You receive positive feedback from Operations or Engineering on the practicality and impact of your improvements. Audit findings related to your programmes are minimal or non-existent.
Proactive Risk Identification
Your ability to spot potential quality risks or emerging trends before they escalate into major customer issues or regulatory problems.
  • You present data-driven insights on potential risks to leadership before they become critical. You're often the first to flag an emerging issue from supplier data or market intelligence. Your team proactively implements preventive actions based on your analysis.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Solving Systemic Problems

You get a real buzz from taking a tangled mess of recurring complaints and figuring out the single root cause that, once fixed, makes the problem disappear. It's like being a detective for quality issues, but with a much bigger impact.

You'll spend weeks deep-diving into data from various sources to uncover why a specific component keeps failing, then design a new testing protocol that eliminates the issue entirely.

Leading and Developing a Team

You enjoy guiding junior analysts, helping them grow their skills, and seeing them successfully tackle complex investigations. You're happy to step in when they're stuck but also give them room to learn and make their own decisions within your programme.

You'll spend time in 1-on-1s, reviewing CAPA drafts, and coaching your team on how to handle difficult conversations with other departments, celebrating their wins and learning from their mistakes.

Driving Tangible Business Impact

You want your work to actually make a difference. Reducing warranty costs, improving customer satisfaction scores, or preventing a major recall – these are the things that get you out of bed.

You'll present your findings and proposed solutions to senior leadership, knowing that your recommendations could save the company hundreds of thousands of pounds and significantly improve customer experience.

What frustrates people
  • The 'No Fault Found' Dilemma, but at a programme level: you'll spend weeks investigating a trend only to find that most individual cases were user error, making it hard to justify a systemic fix.
  • Management pushing to close investigations and CAPAs by the end of the quarter to make the metrics look good, even if the root cause is still ambiguous or the effectiveness check is premature.
  • Receiving vague customer feedback or internal non-conformance reports that lack critical data, forcing you and your team to become full-time detectives before you can even start problem-solving.
  • Having to constantly justify the value of quality investment against short-term production targets or R&D budgets.
  • The political challenge of getting cross-functional teams to own and implement corrective actions, especially when it impacts their own processes or budgets.
What this role does not give you
  • A purely independent, individual contributor path without any team leadership or mentoring responsibilities.
  • A role where you're solely focused on reactive problem-solving; a significant part is proactive prevention and systemic improvement.
  • A 'set it and forget it' environment; quality issues and regulations are constantly evolving, so you'll need to adapt.
  • A quiet, predictable 9-to-5; urgent issues and demanding investigations can sometimes mean late nights or weekend work, especially if there's a major 'escape'.

8Who you work with

This role directly shapes the reliability of our products and services from a customer perspective. Your work reduces warranty costs, improves customer satisfaction, and protects our brand. You're essentially building the defence against future quality failures, making sure we stay compliant and competitive.

Inside the business
  • Customer Quality Manager (your direct boss)
  • Product Development Leads
  • Operations Directors
  • Sales Directors
  • Engineering Managers
  • Legal Counsel (for high-risk issues)
Outside the business
  • Key Customers (for critical issue resolution)
  • Regulatory Auditors
  • Industry Bodies
  • Strategic Suppliers (for supplier quality issues)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven experience (5+ years) in a Senior Customer Quality Analyst or Quality Engineer role, demonstrating a strong track record of leading complex investigations and implementing effective corrective actions.
  • Demonstrable experience in mentoring junior team members or leading small project teams, including providing technical guidance and performance feedback.
  • Advanced proficiency in at least one Quality Management System (QMS) software (e.g., MasterControl, ETQ Reliance) and a statistical analysis tool (e.g., Minitab, JMP).
  • A solid understanding of manufacturing processes and quality control points, allowing you to effectively investigate process-related failures.
  • Experience presenting complex technical information and recommendations to senior management and cross-functional teams.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Statistical Modelling & Simulation

Moving beyond basic SPC, you'll need to apply more complex statistical models and even simulation techniques to understand process variation, predict outcomes, and optimise quality controls, especially for new product introductions.

Design of Experiments (DOE) · Regression Analysis & Predictive Modelling · Monte Carlo Simulation · Multivariate Analysis

  • This month: Refresh your knowledge of advanced statistical concepts through online tutorials or textbooks.
  • Next 3 months: Apply DOE principles to a small-scale process improvement project within your programmes.
  • Next 6 months: Take a specialised course on advanced statistical software (e.g., Minitab, JMP) focusing on modelling and simulation.
  • Next 12 months: Lead a project to implement a new statistical control method for a critical process, demonstrating measurable improvement.

Quick win: Use advanced charting features in Excel or Power BI to visualise complex data relationships you might not have explored before.

11Staying current once you are in

What people here do to keep up
  • Regularly attend industry conferences (e.g., ASQ World Conference, relevant sector-specific quality summits) to stay abreast of best practices and emerging trends.
  • Actively participate in professional quality organisations, potentially taking on leadership roles in local chapters.
  • Engage in continuous learning through online courses or workshops on advanced statistical methods, AI in quality, or digital quality transformation.
  • Seek out opportunities to present your quality improvement projects or findings at internal or external forums to enhance your profile and influence.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

AI-Powered Quality Insights & Automation

AI is rapidly transforming how we identify, analyse, and prevent quality issues. Competitors are already using AI to triage complaints, predict failures, and automate routine reporting, gaining significant efficiency and predictive power.

  • Natural Language Processing (NLP)
  • Predictive Analytics for Quality
  • Generative AI for Documentation
  • AI Ethics & Bias in Quality Data

Digital Quality Transformation Leadership

Organisations are moving towards fully integrated digital quality systems, leveraging IoT, cloud platforms, and advanced analytics. You'll need to lead your team through these changes, ensuring our quality systems aren't just compliant but also efficient and data-rich.

  • Digital Thread & Traceability
  • Cloud-Based QMS & ERP Integration
  • Data Governance for Quality
  • IoT for Predictive Maintenance & Quality

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Root Cause Analysis (RCA) Mastery
  • CAPA System Design & Management
  • Regulatory & Standards Compliance (ISO 9001)
  • Statistical Process Control (SPC) & Capability Analysis
  • Failure Mode and Effects Analysis (FMEA) Leadership
  • Voice of the Customer (VoC) Integration & Strategy

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Senior Customer Quality Analyst (L3)

    3-5 years at L3

    Skills to master

    • Leading complex investigations end-to-end, mentoring junior team members, presenting findings to mid-level management, designing and implementing small-scale process improvements.

    You're ready to move on when

    • Consistently delivering robust Root Cause Analyses and effective CAPAs for high-risk issues.
    • Demonstrating initiative in identifying systemic problems beyond individual cases.
    • Receiving positive feedback on your ability to guide and develop less experienced colleagues.
    • Successfully managing project timelines and cross-functional dependencies for quality initiatives.
  2. 2

    Quality Engineer (from Manufacturing/Product Quality)

    5-8 years as a Quality Engineer

    Skills to master

    • Deep understanding of manufacturing processes, statistical process control, FMEA, and quality control systems. Adapting to customer-facing aspects of quality.

    You're ready to move on when

    • Expertise in process capability analysis and driving manufacturing quality improvements.
    • Experience leading FMEA sessions and implementing preventive controls at the design or process level.
    • Strong analytical skills and ability to interpret complex data sets.
    • A desire to shift focus from internal quality to understanding and resolving customer-impacting issues.
  3. 3

    Process Improvement Lead (e.g., Lean Six Sigma Specialist)

    6-10 years in process improvement roles

    Skills to master

    • Expertise in Lean Six Sigma methodologies, change management, and driving efficiency. Applying these skills specifically to quality management systems and customer feedback loops.

    You're ready to move on when

    • Proven track record of leading successful process improvement projects with measurable results.
    • Strong analytical and problem-solving skills, with a focus on data-driven decision making.
    • Experience in stakeholder management and influencing change across different departments.
    • A keen interest in applying process excellence principles to enhance customer satisfaction and product reliability.

15Where this role leads

The long view: This role can lead to Director of Quality Assurance, Head of Operations or a specialised Product Quality Lead role within product development.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Lead Customer Quality Engineer is actually changing.

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Managing quality and quality systems, worked against Lead Customer Quality Engineer.

Managing quality and quality systems Level 5

Applied to your work in Lead Customer Quality Engineer

The objective of this unit is to enable learners to understand, establish, implement, and evaluate quality management systems within an organisation. Learners will be able to manage quality, meet quality standards, and drive continuous improvement by adhering to relevant standards and procedures.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
Lead Customer Quality Engineer
  • Root Cause Analysis (RCA) Mastery
  • CAPA System Design & Management
  • Regulatory & Standards Compliance (ISO 9001)
  • Statistical Process Control (SPC) & Capability Analysis
  • Failure Mode and Effects Analysis (FMEA) Leadership
  • Voice of the Customer (VoC) Integration & Strategy
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Lead Customer Quality Engineer is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Customer Quality Manager (L5)

    3-5 years in the Lead Customer Quality Engineer role

    This is a direct management role, where you'll oversee the entire Customer Quality team, set departmental strategy, and manage the budget. You'll move from leading programmes to leading people and the overall function.

    • Quality Management System (QMS) Strategy Defining the long-term vision and architecture for our QMS.
    • External Representation Representing the organisation to industry bodies and key strategic partners on quality matters.
    • P&L Ownership Understanding and influencing the financial impact of quality on the wider business P&L.
    • Strategic Quality Planning Developing and executing the annual and multi-year strategic plan for Customer Quality.
  2. Principal Quality Engineer (IC Path)

    3-5 years in the Lead Customer Quality Engineer role

    This is an advanced individual contributor role, focusing on highly complex, enterprise-wide quality challenges and technical leadership without direct reports. You'll be a recognised expert, often mentoring other leads.

    • Advanced Predictive Quality Modelling Developing and deploying sophisticated machine learning models for quality prediction.
    • Quality Data Science Applying advanced statistical and computational methods to extract deep insights from quality data.
    • New Technology Integration Leading the adoption and integration of emerging quality technologies (e.g., AI, IoT) into our systems.
    • Strategic IP Contribution Developing novel quality methodologies or tools that become intellectual property for the company.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of your week as a Lead Customer Quality Engineer is spent sifting through data, drafting reports, and trying to spot patterns. What if you could get a significant chunk of that back? That's exactly what AI can do for you and your team.

We're not talking about replacing your critical thinking; we're talking about giving you a superpower. Our AI Productivity Hub is designed to take the grunt work out of quality management, freeing you up to focus on the strategic problem-solving and leadership that truly matters. Imagine having more time to architect those big solutions or mentor your team.

Smart Complaint Categorisation

Use Natural Language Processing (NLP) to automatically read, categorise, and route incoming customer complaints from emails and web forms. The AI can identify product names, failure modes, and severity, assigning cases to the correct specialist or programme instantly. You'll spend less time triaging and more time investigating.

Predictive Quality Trend Spotting

Employ machine learning models to analyse vast datasets from our QMS, CRM, and manufacturing systems. The AI can identify subtle correlations and patterns that predict a potential large-scale quality issue weeks or months before it becomes obvious to human analysts. You'll be able to proactively address risks, not just react to them.

Automated Regulatory Intelligence

Use an AI agent to continuously scan global regulatory databases (e.g., FDA MAUDE, EUDAMED) and public forums for reports of issues with similar or competitor products. It provides summarised alerts on emerging industry-wide risks, giving you a heads-up on potential compliance challenges or market trends that could impact our products.

Investigation & Communication Drafting

Use generative AI to create first drafts of complex investigation summaries, customer-facing response letters, or detailed 8D reports. You provide the key findings and data, and the AI formats it into a professional, consistent document, saving you hours of writing and editing. It's like having a dedicated technical writer on demand.

Common questions

Common questions

How do you become a Lead Customer Quality Engineer?

Common routes in include Senior Customer Quality Analyst (3-5 years at L3), Quality Engineer (from Manufacturing/Product Quality) (5-8 years as a Quality Engineer) and Process Improvement Lead (e.g., Lean Six Sigma Specialist) (6-10 years in process improvement roles). Times vary with prior experience.

Where can a Lead Customer Quality Engineer progress to?

This role can lead on to Customer Quality Manager (3-5 years in the Lead Customer Quality Engineer role) and Principal Quality Engineer (IC Path) (3-5 years in the Lead Customer Quality Engineer role), depending on the skills you build.

What new skills matter most for a Lead Customer Quality Engineer?

Increasingly, AI-Powered Quality Insights & Automation and Digital Quality Transformation Leadership. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

More jobs in compliance, quality and safety

Stay in the field you know and move sideways rather than up.

If you leave this industry

Skills such as root cause analysis, CAPA management, statistical process control and regulatory compliance transfer across industries. This includes sectors with complex products or strict regulation, such as medical devices, automotive, aerospace, pharma, electronics and food and beverage.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free Automation Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.