Occupational Profile
The Artificial Intelligence (AI) and Automation Practitioner (Level 4) supports organisations to improve how work gets done wherever digital workflows exist. They sit within operational, service‑delivery, or change‑delivery teams and focus on using automation, system integration and AI tools to streamline processes, reduce manual effort, and enhance productivity.
This occupation is found across sectors including professional services, education, health, logistics, retail, technology, and manufacturing. Their role is function‑focused rather than sector‑specific, meaning they add value in any environment that relies on digital tools, online systems, and data‑driven processes.
Key responsibilities and contributions
AI and Automation Practitioners identify, design, and deliver practical improvements in business workflows using digital solutions. They analyse existing systems and processes, pinpoint inefficiencies such as manual tasks, duplicated data entry, unintegrated tools, and slow workflows, and recommend appropriate automation or AI‑driven solutions.
Typical duties include:
- Workflow analysis to understand how work currently gets done
- Designing and implementing low‑ or no‑code automations, integrations, and AI tools
- Supporting change and user adoption to ensure solutions are embedded effectively
- Monitoring impact, including time savings, error reduction, and service improvements
They collaborate closely with internal stakeholders such as operations, service delivery, customer support, and finance, as well as external suppliers or digital tool providers. Their work aligns automation activity with organisational goals, compliance requirements, and user needs.
Use of automation and workflow management tools
A core part of the role is the use of automation, integration, and workflow management platforms to deliver improvements at scale.
Practitioners:
- Configure and manage digital tools such as workflow engines, integration platforms, RPA (robotic process automation), and AI assistants.
- Automate routine tasks (notifications, data transfers, approvals, report generation) to reduce manual workload and improve consistency.
- Integrate systems so data flows smoothly between CRMs, ERPs, ticketing systems, and other business applications.
- Monitor performance and reliability, using dashboards and analytics to ensure automations remain effective, secure, and aligned with business needs.
By leveraging these tools, they help organisations unlock time and cost savings, improve accuracy, and free staff to focus on higher‑value work.
AI integration in the apprenticeship
Artificial Intelligence is central to this apprenticeship. Learners develop the ability to select, configure, and safely use AI tools to enhance business processes, with a strong emphasis on responsible, ethical, and secure deployment.
Typical AI‑related activities include:
- Using AI‑powered chatbots and virtual assistants for customer service and helpdesk support
- Applying AI for data analysis and insight generation
- Implementing AI‑driven automations such as intelligent routing, anomaly detection, and predictive alerts
- Ensuring responsible use of AI, including transparency, bias awareness, and data protection
Apprentices gain hands‑on experience with the tools reshaping modern digital operations, learning how to combine AI, automation, and integration to deliver real business value.
Options & Progression Pathways
This apprenticeship supports a broad range of digital improvement and automation roles, giving employers the flexibility to place apprentices where they can make the greatest impact. Typical job roles include:
- AI and Automation Practitioner: Delivering automation and AI‑enhanced workflows across business functions.
- Digital Workflow Analyst / Automation Analyst: Mapping processes, identifying inefficiencies, and implementing digital improvements.
- Process Improvement Technician (Digital): Supporting continuous improvement using digital tools and automation.
- Low/No‑Code Developer / Automation Developer: Building automations and integrations using low‑code platforms.
- Digital Operations Support / Change Support Officer: Assisting teams with digital change, workflow optimisation, and system adoption.
These roles are typically embedded within operational, service delivery, IT, or change‑management teams, and may also sit within consultancies specialising in automation and AI services.
Apprentices can progress on to:
- Higher‑level digital roles such as data engineer, AI data specialist, or more advanced automation/solution architect positions.
- Higher apprenticeships or degree‑level programmes in data, AI, digital transformation, or software engineering.
This pathway supports long‑term career development and helps employers build a skilled, future‑ready workforce.
Delivery & Duration
Training is typically work‑based, with structured off‑the‑job learning:
- Minimum off‑the‑job hours: aligned with apprenticeship funding rules (e.g. at least 6 hours per week).
- Learning includes: workflow analysis, automation design, AI tools, data handling, change management and responsible AI practice.
- Apprentices maintain an online portfolio of evidence (projects, reflections, artefacts) to demonstrate competence across knowledge, skills and behaviours.
- Typical duration to gateway: 18 months (excluding end‑point assessment).
Remote and blended delivery options can be used to fit organisational needs, with regular assessor contact, professional discussions, and project support.
Benefits to employers
Employing an AI and Automation Practitioner apprentice offers clear advantages:
- Productivity and efficiency gains: Apprentices focus directly on removing bottlenecks, automating manual tasks, and improving workflow speed and accuracy.
- Cost savings and better resource use: Automation and AI solutions reduce repetitive work, allowing staff to focus on higher‑value activities.
- Continuous improvement mindset: Apprentices bring structured analysis, experimentation, and feedback into everyday operations.
- Future‑ready skills: Employers gain early access to talent skilled in AI, automation, and digital optimisation—critical for long‑term competitiveness.
Flexible delivery models (including remote and blended learning) mean training can be tailored around operational needs, minimising disruption while maximising impact.
End‑point assessment
The EPA for the Artificial Intelligence (AI) and Automation Practitioner (Level 4) typically includes:
Project report with questioning:
- Apprentice completes a substantial project demonstrating how they have identified, designed, and delivered improvements using AI and automation.
- An assessor questions the apprentice to explore decisions, impact, and alignment with the standard.
Professional discussion underpinned by portfolio:
- Structured discussion with an independent assessor, using the apprentice’s portfolio as evidence.
- Assesses the full range of knowledge, skills, and behaviours.
Both methods are graded Fail, Pass, or Distinction, providing a clear measure of competence and excellence in AI‑driven process improvement.
Candidates for this course should be working in a related sector.
All applications will be reviewed on an individual basis. If you have experience or previous knowledge that will support your application please remember to include it. Apprentices without level 2 English and maths, aged 16-18, will need to achieve this level prior to taking the End-Point Assessment.
Under new rules, apprentices aged 19 and over will no longer be required to achieve a Level 2 functional skills qualification in English and Maths to complete their apprenticeship. Although, the decision will be at the employers discretion, and apprentices are encouraged to discuss these requirements with their employer or training provider.
Maximum funding: £18,000
Please follow the link for more information on Apprenticeship Funding for Employers
Please feel free to call regarding any queries about funding on 01752 202264 or email admissions@achievementtraining.com
The enrolment forms below, need to be completed by both you as the employer and the apprentice. This will then allow us to gather the essential information needed to set up the apprenticeship.
Apprenticeship Enrolment Form (Employer) – Part 1
Apprenticeship Enrolment Form (Apprentice) – Part 2
What Happens After Enrolment?
Once both forms have been completed, the following will take place:
- A tutor will be in touch to create a training plan for the new role.
- An appointment will be arranged during the first few weeks of employment.
- During this appointment, the tutor will review the course content with you and explain the delivery model and answer any questions.
