Critical to the profitability of lithium pegmatite mines is the correct truck-by-truck allocation of ore and waste material to waste dumps, stockpiles, and direct feed to the mill. Incorrect allocation of material results in, inter alia, valuable ore being incorrectly treated as waste material, and waste material, being processed through the plant. This results in poor ore recovery and lower profitability. Mines attempt to ameliorate this risk of misallocation through resource drilling, grade control drilling, and in-mine ore spotting. However, this approach has an inherent lack of precision owing to the spacing of the grade control drill program, movement of material post-blasting, and the qualitative and subjective nature of ore-spotting practices. Absence of a timely feedback loop to confirm decision-making compounds the challenge. This lack of precision may cause a reduction in the mine profitability and accelerates the depletion of the orebody. An innovative approach to address this lack of precision has been developed and implemented at Covalent Lithium’s Mt Holland Mine. It builds on the existing grade control model by conducting daily assessments of mining areas, stockpiles, and waste dumps, utilising a digital imaging system that quantitatively predicts the proportion of pegmatite of any scanned rock in the mine allowing for precise allocation of each truck to correct locations. The imaging system uses a combination of LiDAR, hyperspectral imaging, and Artificial Intelligence to produce results. Using this approach correct allocations can be made in advance, during or post-mining, and results validated on a daily basis to ensure compliance to plan. Furthermore, the digital imaging provides consistent feedback, supporting ongoing, systemic improvement. The results from the extensive testing and implementation of this new approach at Covalent Lithium’s Mt Holland Mine are presented in this paper, along with recommendations for future research and development to further improve the value from ongoing implementation of this new approach.