AI-Enabled Process Automation and Analytics

The contract seeks to develop AI-driven automation tools designed to enhance and streamline permitting processes by minimizing manual data entry and improving overall operational efficiency. The solution must incorporate predictive analytics capabilities to forecast bottlenecks, optimize workflow timelines, and support data-informed decision-making for government permitting agencies. The work will focus on creating intelligent systems capable of learning from historical permit data to identify patterns, reduce delays, and proactively suggest improvements to the permitting lifecycle. All deliverables must be aligned with the NAICS code 541690, indicating the scope falls under other scientific and technical consulting services, specifically tailored to process automation and analytical services. This is a subcontract opportunity posted by the State of Utah with a response deadline of July 13, 2026. The contract does not specify a set-aside status or detailed point of contact information, and performance location details are not provided. Interested parties must submit proposals through the designated online portal by the stated deadline to be considered. The emphasis is on delivering a scalable, secure, and user-friendly AI system that integrates seamlessly with existing government workflows, ultimately reducing administrative burdens and improving service delivery to the public. Technical expertise in machine learning, workflow automation, and data analytics is essential for successful proposal submission.