System Support and AI Apprentice
Mentor Distribution Ltd
HENLOW (SG16 6DS)
Closes on Tuesday 23 June 2026
Posted on 24 April 2026
Contents
Summary
We are looking for a motivated, organised, and technically curious individual to join us as a System Support / AI Apprentice. This role will focus on supporting and developing internal systems, while identifying opportunities to improve processes through automation and AI.
- Wage
-
£19,000 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
Monday - Friday, 9.00am - 5.00pm
37 hours 30 minutes a week
- Start date
-
Wednesday 24 June 2026
- Duration
-
1 year 3 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
Working closely with the Operations Manager and Operations Director, you will gather business requirements and help translate them into practical system and automation solutions.
You will contribute to improving workflows, enhancing data usage, and supporting the development of in-house tools and AI-driven capabilities.
This role is ideal for a self-starter who can take initiative, solve problems, and actively drive improvements through technology.
Key Responsibilities:
- Gather and document business and system requirements from key stakeholders
- Support the development and improvement of internal systems and web-based tools
- Identify and implement automation opportunities to reduce manual processes
- Assist in building AI-driven solutions to support operations and decision-making
- Work with data to analyse trends and improve processes
- Support integration between systems using APIs and data connections
- Develop reports and dashboards (e.g. Excel or similar tools)
- Test, monitor, and improve system performance
- Maintain clear documentation of systems, processes, and changes
- Provide day-to-day system support across the business
About You:
- Highly organised with strong attention to detail
- A proactive self-starter with a strong drive to improve processes
- Strong problem-solving and logical thinking skills
- Interest in AI, automation, and systems development
- Comfortable working with data (Excel essential; any exposure to SQL beneficial)
- Interest in web technologies or scripting (e.g. HTML, JavaScript or similar)
- Able to communicate effectively with both technical and non-technical stakeholders
Where you'll work
SYSTEMS HOUSE
UNIT 23
HENLOW CAMP TRADING ESTATE
HENLOW
SG16 6DS
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
SOLVEWAY LIMITED
Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Review, establish, follow and or amend policies and procedures on data and information security.
- Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
- Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
- Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
- Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
- Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
- Use automation design tools to suit the organisational context to configure, adapt and implement solutions for example Zapier, Make and Power Automate.
- Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
- Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
- Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
- Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
- Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
- Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
- Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
- Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
- Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
- Contribute to sustainable and efficient AI and automation solutions.
- Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
- Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
- Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
- Undertake data analysis, preparation, and conversion to support automation solutions.
- Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
- Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
- Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
- Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
- Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
- Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
- Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
- Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
- Review, establish, follow and or amend policies and procedures on data and information security.
- Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
- Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
- Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
- Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
- Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
- Use automation design tools to suit the organisational context to configure, adapt and implement solutions for example Zapier, Make and Power Automate.
- Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
- Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
- Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
- Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
- Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
- Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
- Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
- Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
- Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
- Contribute to sustainable and efficient AI and automation solutions.
- Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
- Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
- Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
- Undertake data analysis, preparation, and conversion to support automation solutions.
- Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
- Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
- Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
- Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
- Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
- Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
- Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
- Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
Training schedule
Expected Apprenticeship Duration: 12 months + 3 months EPA
Blend of eLearning and classroom (biweekly classes 3 hours each) training based on:
What you will learn:
- How AI can be applied in a business environment, including automation, data processing, and AI assistants
- Automation tools and workflow design to streamline operations
- Working with databases and data (e.g. SQL/MySQL fundamentals)
- Basics of web technologies (e.g. HTML5, CSS3, JavaScript and frameworks such as Bootstrap)
- How systems communicate using APIs (REST-based services)
- Principles of building and improving internal systems (including exposure to technologies such as PHP in a business environment)
- Data governance, security, and ethical use of AI
Requirements
Essential qualifications
GCSE in:
- English (grade 4)
- Maths (grade 4)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Customer care skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
- Reliability
- Maturity
About this employer
Mentor Distribution is a specialist AV and display distributor operating across the UK and Ireland, with over 30 years of industry experience. We supply a wide range of products — including monitors, large format and interactive displays, LED video walls, and Pro-AV solutions — from leading global manufacturers.
With large warehouses in Bedfordshire and Dublin, we offer extensive stock with next-day delivery across both regions. Our experienced team provides expert advice and hands-on account management, helping resellers win business and deliver outstanding results.
As part of the wider Mentor Distribution Group, we’re proud to be a trusted partner in the AV and IT distribution market.
After this apprenticeship
- We are looking to offer full-time employment upon successful completion of the apprenticeship
- We believe in developing our talent internally and have a clear and personalised progression route for each of our employees which is reviewed annually
Ask a question
The contact for this apprenticeship is:
SOLVEWAY LIMITED
The reference code for this apprenticeship is VAC2000028285.
Apply now
Closes on Tuesday 23 June 2026
After signing in, you’ll apply for this apprenticeship on the company's website.