Minimum Maintenance Standards (MMS) are being implemented in response to government requests for relief from onerous court decisions. To use this statutory defense in court, a municipality must be able to show through documentation that it met the minimum standards, as defined in North American regulatory regimes such as Regulation 239/02 (Canada). Documentation of MMS patrols and record-keeping are critical. IRIS R&D Group Inc. is developing AI and Software technologies to fully automate MMS patrolling activities by relying on AI and computer vision to capture, identify and assess Asset Condition for Roadway Asset Management. IRIS uses computer vision and AI for the detection of deficiencies to support the maintenance of roads, pavement, and roadway assets, such as traffic signs. IRIS offers Automated Road Patrol, Pavement Condition Index (PCI) and Roadway Asset Inventory solutions that were implemented in municipalities such as the City of Brantford, Vaughan and Hamilton in Ontario and other cities in the United States of America. Instantly, IRIS’ data and analytics improved their road safety and legislative compliance results, operational efficiency, and budget allocations. We were awarded the 2022 Smart Cities Connect Smart 50 Award, 2022 IRF Start-up Label award, 2021 John Niedra Better Practices Competition – Innovative Management Practices, Asset Management, Maintenance Management Award, and 2021 GI infraChallenge winner—also recognized by the G20 Summit.