Fast‑moving consumer goods (FMCG) manufacturer Apollo Foods is home to Picky, Boring, and The Apple Press beverages. It delivers products for domestic and export markets and runs a contract bottling facility for high‑volume clients. 
 
The business saw AI as a chance to solve an existing problem – technical knowledge spread across multiple shifts, notes, and individuals. The goal was to create one trusted source of truth that any team member on any shift could use.  
 
Engineering Manager Jason says the team now uses AI to capture and share operational knowledge – like a shared notebook but smarter. Staff use it to record shift events, explain faults and fixes, add photos and videos, and search past entries. The tool is flexible enough that information entered can change and evolve, but the business remains in control of their data. The team can enter text in any language, creating opportunities for them to work with overseas suppliers and experts.  
 
Jason involved team members in the business’ AI implementation from day one. Their feedback shaped how the tool was set up, how the factory uses it, and its future direction. This helped make adoption feel natural rather than forced. The team identified risks with data trust and inconsistency and mitigated them, by including version history and time‑stamped entries.  
 
For Apollo Foods, success looked like easy and early AI adoption across teams – which they achieved. Entries became more accurate, detailed, and easier to find. Reporting quality improved, which lifted collaboration and confidence across teams. Improvements included more detailed shift reports, less hard‑to‑read handwritten notes, and quicker logging of details as they happen. 
 
Jason encourages small businesses to approach AI adoption with an open mind and every opportunity as a chance to learn. 
 
“This isn’t about replacing people, far from it. It’s about empowering teams to capture knowledge, asset history, and operational context, in a way that truly belongs to our team and the business.”