Confirm the route before you plan.
Planned portfolio only. Avenor’s approved ST1512 version scope, exact assessment design, assessor capacity, governance controls, fees and service dates must be confirmed before booking.
Checked 20 October 2026: version 2.1 is approved for delivery, with earliest starts from 22 May 2026 and no latest-start date set. Its reform-format plan permits assessment-organisation design choices beyond the mandatory project.
View the official standard and assessment plan ↗What this occupation demonstrates
For apprentices who improve operational workflows through responsible use of AI, automation, integration and low- or no-code tools. The occupation combines process analysis, solution configuration, testing, assurance, stakeholder adoption and continuous improvement. It is not simply prompt use or a general AI-awareness programme. Providers should help apprentices connect a real operational problem to a controlled intervention, define human oversight, test reliability and accessibility, protect data and evaluate whether the change created useful value. Evidence should separate measured outcomes from forecasts and record where an automation was narrowed, paused or rejected.
Training providers supporting practitioners who analyse workflows and implement responsible AI, automation, integration or low-code improvements in operational teams.
- Identify and frame a suitable workflow problem with users, constraints and a credible measure of value.
- Configure, test and document an AI or automation solution with security, accessibility and human oversight.
- Support adoption and continuous improvement while evaluating ethical, workforce and operational effects.
Prepare for a fair assessment
Use the applicable plan as your starting point. The following are preparation prompts, rather than additional gateway requirements or a substitute for the assessment specification.
- Keep a before-and-after workflow record covering the problem, baseline, users, data, options, approvals, configured solution, exception handling, tests, adoption and measured effect. Include a decision that changed after feedback or assurance review.
- Use approved accounts and synthetic or minimised data for practice. Record tool and model dependencies, permissions, retention, failure paths and human decisions; never paste personal, client or confidential operational information into an unapproved external AI service.
- Request the selected assessment organisation’s actual version 2.1 assessment specification early. The official reform-format plan mandates a project but allows additional methods from a defined list, so the public plan does not establish one universal final method count or combination.
Plan a useful handover.
Procure this route around responsible workflow change and a transparent assessment design. Describe employer processes, tool governance, data restrictions, learner autonomy and the opportunity to implement and evaluate a real improvement. Because version 2.1 fixes a project but permits different additional methods, ask bidders to provide their exact method combination, outcome mapping, marking ownership and learner journey in writing. The provider owns curriculum coverage; employer process, security and equality owners approve the project; a coordinator manages specification changes and evidence release.
A realistic evidence conversation
Illustrative, not a prescribed requirement: an apprentice automates triage of non-sensitive service requests. They map the manual process, remove an unnecessary step, configure routing rules with an AI suggestion feature, test edge cases and accessibility, keep human approval for ambiguous cases, train users and compare correction rates and handling time. One category is removed after biased suggestions appear. Use the scenario to ask how the organisation assesses the mandatory project, verifies measured value and handles restricted workflow data.
Handover checks
- Provider lead obtains the organisation’s version 2.1 assessment specification and outcome mapping.
- Employer process, security and equality owners approve the use case, data and human-control boundary.
- Coordinator records project ownership, selected additional methods and responsibility for marking.
Questions to ask before buying
- Which additional methods accompany the mandatory project, and how do they cover every assessment outcome?
- Who marks each assessment and how is reliability controlled if provider or centre marking is used?
- How will confidential workflows, AI tool changes and responsible-use concerns be handled during assessment?
Turn preparation into a working plan.
Use these free tools for this occupation’s preparation tasks. Keep confidential employer and apprentice information out of browser worksheets; the applicable plan and written agreement take priority.
Map workflow evidence
Connect problem, governance, testing and measured change to outcomes while recording gaps.
Check specification readiness
Verify the selected organisation’s method combination, project and approvals before a formal decision.
Compare written assessment quotes
Compare like-for-like method and service assumptions without treating the calculator as Avenor pricing.
Think it through.
Explain your decisions.
These are original learning prompts. They are not live assessment questions, an official mock paper or a prediction of your result.
1. A team wants to automate an approval process because it is slow. What must be understood before building?
Explore a response structure
Map the decision, users, delays, exceptions, authority, data and consequences of error. Identify which step requires human judgement and whether process simplification would solve the problem first. Define evidence that would justify automation rather than assuming speed equals value.
2. How would you test an AI-assisted workflow beyond a successful demonstration?
Explore a response structure
Use representative and edge cases, failure and fallback tests, permission checks, accessibility review and measures tied to the real task. Include false outputs and service interruption. Explain who can stop or override the automation and how issues are monitored.
3. What should be reported when an automation saves time but increases corrections?
Explore a response structure
Report both measures with definitions, sample size and user impact. Explore whether work moved to another team or exceptions were hidden. Recommend refinement, narrower use or withdrawal based on evidence, and keep estimated benefits separate from observed results.
Questions about this standard
Is this an AI developer apprenticeship?
It focuses on applying AI and automation to operational improvement, including low- or no-code tools, responsible adoption and change support. It is distinct from advanced model development or machine-learning engineering routes. Match the apprentice’s sustained role to the published duties.
What are the exact assessment methods for version 2.1?
The official plan requires a project. It permits the assessment organisation to select additional assessments from presentation, simulated task, professional discussion, portfolio, and question and answer so all outcomes are covered. Therefore the plan does not publish one universal method count or final combination; obtain the organisation’s current specification.
Does this guidance mean Avenor currently offers ST1512?
No. It is planned-portfolio content. Confirm Avenor’s approved version scope, assessment design, assessor capacity, security arrangements, fees and dates before relying on a service.
Sources and review
Guide updated 20 October 2026; official source reviewed 20 October 2026. Standard titles, versions and requirements can change. Always check the linked official record for the apprentice’s start date.
Skills England: Artificial Intelligence (AI) and Automation Practitioner ↗