Inspire ATA
AI Practitioner for Schools Level 4
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Supporting the AI Implementation, Automations and Efficiencies in Schools
Artificial intelligence is a valuable tool for any organisation to implement in its organisation; however, schools more than any other organisation need to ensure the implementation of AI tools is done ethically and safely. The programme prepares apprentices for roles including AI Coordinator, AI Implementation Lead, Digital and AI Lead and Automation and Systems Lead. It focuses on the practical, ethical and effective use of AI and automation across schools and MATs.
Duties
- Coordinate the ethical and responsible use of AI and automation across the school or trust.
- Identify opportunities to reduce workload through automated administrative and operational processes.
- Improve data quality, reporting accuracy, and information flow between school systems.
- Design low-code automation solutions that enhance efficiency and productivity.
- Build and maintain automation workflows using school-approved technologies.
- Lead the implementation of AI initiatives that support school improvement objectives.
- Engage staff in adopting AI tools and digital solutions safely and effectively.
- Manage risks associated with AI, ensuring compliance with safeguarding, GDPR, and data protection requirements.
- Monitor the impact of AI and automation projects and recommend improvements where needed.
- Deliver workplace projects that create measurable improvements in efficiency, accuracy, and service delivery.
Why Choose Inspire ATA?
We work with high-quality training providers to deliver a wide range of training programmes through a blended learning approach that is tailored to each learner's needs. Inspire ATA recruits and employs each apprentice on behalf of the "host" client, enabling us to offer additional support and a better experience for both apprentice and client.
We can also offer flexi-job apprenticeships which means we are able to offer short term contracts and other non-standard employment models.
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Knowledge
- The role of organisational leadership in responsible AI adoption, including setting values, policy, and strategy.
- The business case for ethical AI adoption, including reputational risk, staff morale, and long-term sustainability.
- Legal and regulatory frameworks including employment rights, equality, and responsible automation, data protection and GDPR.
- Ethical principles and professional standards relevant to AI development such as fairness, transparency, and accountability.
- Understand the potential social and economic impacts of AI and automation on different roles, particularly for non-technical staff including change management principles.
- Approaches for identifying and implementing incremental change, including piloting, evaluating solutions in relation to organisational constraints such as budget, time, and resources.
- Methods to identify opportunities to enhance productivity such as improve processes, reduce waste, increase user or customer satisfaction or optimise outcomes.
- The importance of designing AI and automation systems that augment rather than replace human work, where feasible.
- The capabilities, benefits and risks of automation, AI and digital tools including responsible use, ethical considerations and the potential impact on the workforce.
- 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 AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
- 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.
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Skills
- Demonstrates empathy by actively considering the perspectives and concerns of staff who may be impacted by AI-driven change. Acts responsibly, recognising organisational efficiency goals with fairness to employees.
- Maintains professionalism and upholds confidentiality when discussing sensitive workforce impacts, showing respect for individual contributions.
- Demonstrates confidence in sharing concerns or alternative perspectives of self or others, even when under pressure to deliver efficiencies.
- Balances respect for leadership decisions with advocacy for employees.
- Support leaders to consider the impact of AI automation adoption, not just immediate organisational gains.
- Shows curiosity and initiative, experimenting with AI and automation, while ensuring such exploration is conducted safely, ethically, and with regard for potential impacts.
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