AiWay Examples
A small selection of real AiWay work, described plainly and carefully, without inflated claims, invented statistics or case-study theatre.
PolyUp
AiWay spent a focused working day with Lewis and his team, helping set up practical AI tools and workflows they could continue using after the session.
We have gone from zero to hero in the space of 24 hours, ensuring our processes are as efficient as they can be. Admin takes up a lot of time, and this allows us to focus on those human interactions more.
This example follows from a public LinkedIn post about the session and the practical work completed with them. View the LinkedIn post.
The work centred on turning AI from a general idea into useful, repeatable workflows. That included setting up dedicated ChatGPT Projects for recurring tasks, improving prompts, using ChatGPT with Gmail and other everyday tools, and exploring practical ways to support writing, research, spreadsheets and planning.
The session covered Project workspaces, Gmail and app-based workflows, Codex briefs for longer technical jobs, metaprompting for better instructions and Deep Research for evidence-led reports. The focus was on tools the team could keep using in normal work, rather than a one-off demonstration.
After the session, AiWay prepared a simple slide guide with the main reminders from the day, giving the team a clear reference point for building on the AI tools and workflows that had been put in place.
This work shows how a focused AI training session can move quickly from explanation to practical setup, giving a business usable workflows that support everyday admin, planning and communication.
Larkfield Primary School
AiWay met with headteacher Mr David Palmen at Larkfield Primary School to explore where AI could reduce admin pressure, support policy work, improve document processes and help staff use new tools safely and confidently.
I can see that AI will revolutionise our working patterns within school. I found Rob's advice fantastic. He clearly has a deep understanding of how to utilise AI effectively, and I look forward to working with him in the future.
As headteacher, Mr Palmen described the pressure of updating existing school policies, managing shared files, reviewing documents and pulling together useful teaching resources without losing hours to repeated admin work.
The consultation looked at practical uses for ChatGPT Projects, Codex-style document workflows, Google Workspace support, email drafting, policy review, lesson-planning support, image-led teaching materials and ways to test AI tools safely before making larger spending decisions.
The discussion also considered value for money. Larkfield already uses Arbor and Google Workspace, so part of the conversation focused on whether existing systems could be used more effectively before committing to expensive additional licences.
Arbor's current AI options were discussed alongside the financial question of whether the school would get better value by exploring Google Workspace and Gemini tools that may already fit more naturally with the systems staff are using.
We will be looking more closely at the Gemini tools available to the school and whether they can provide useful AI support with a smaller financial investment.
The session also covered sensible boundaries for school AI use, including anonymising pupil information, protecting staff and pupil data, considering GDPR implications, and making sure any future use is reviewed through the school's normal data protection processes.
This included discussing the role of the school's Data Protection Officer, the need for appropriate DPIA risk assessments, and keeping staff in control of what is reviewed, drafted or shared.
This work shows how AI can support school leadership without replacing professional judgement. The focus was on reducing repetitive workload, improving document processes, considering value for money and giving staff confidence to use AI in a controlled, practical way.
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