The City of Stanwood is actively seeking qualified vendors to provide an AI-powered permit review software system aimed at enhancing the efficiency and accuracy of the City's development review process. The primary goals of implementing this technology are to significantly reduce permit turnaround times by automating routine and repetitive tasks—such as code compliance checks —while also minimizing human error and addressing permit backlogs. Importantly, the City views this software as a support tool to augment, not replace, the expertise of its professional staff. The selected system will serve as a resource for plan reviewers—helping them identify potential issues more quickly and accurately—allowing staff to focus on higher-level planning considerations, nuanced code interpretations, and complex project evaluations. The ideal solution will deliver comprehensive review capabilities across building, zoning, and engineering codes, integrating seamlessly into Stanwood’s existing permit review workflows while improving overall customer service and project transparency. To achieve the City of Stanwood’s goals of improving accuracy, transparency, and turnaround time in the permit review process, the selected AI software system must meet the following essential functional and technical requirements: 1. Fully Digital, Cloud-Based Architecture The solution must be a fully cloud-hosted platform that eliminates the need for on-premises infrastructure or server dependencies. It must be accessible via standard web browsers and securely available to authorized City staff. The system must reference applicable regulatory sources, including: • Federal and Washington State building regulations • International Building, Residential, and related Codes • Stanwood Municipal Code • Stanwood Street and Utility Standards 2. Cybersecurity, Resilience, and Copyright Compliance The AI system must align with the City’s IT and cybersecurity policies, ensuring secure data handling, system resiliency, and intellectual property protections. Key requirements include: • Data encryption (in transit and at rest) • Secure login and multi-factor authentication • Regular data backups and system recovery protocols • Compliance with public sector cybersecurity standards • Adherence to copyright rules for AI-generated and sourced content