Over the course of the Hone Program, Ozintellifarm continued to validate the problem they had identified related to farm inefficiencies within ‘Soil Management’ and more specifically the repetitive and time consuming labour. They narrowed their focus to controlled environments, high value, mushroom farming and proposed an MVP comprising a technology stack of IOT devices, automation, API integration and data analytics feeding artificial intelligence (AI) to enhance decision making. The team identified three target areas: 1) modernisation of moisture, irrigation & scheduling to be demand and data driven 2) Data, Senor & AI system automation to reduce 14 day lab testing turnaround 3) AI modelling and prediction to remove high frequency of treatment errors by 90%. Team expertise in AI capability and use of 5G experiential learning gained through collaboration University of Tasmania further supported program outcomes. In addition, the team developed a deeper, more cohesive go-to-market strategy, identified, and desired distribution channels and agreed on MVP functionality.