SewerAI
11 Case Studies
A SewerAI Case Study
The City of Phoenix, operating one of the largest municipal sewer systems in the Southwest, sought to expand the scope, improve data quality, and reduce costs of its $33 million small-diameter sewer rehabilitation program. The city partnered with SewerAI to integrate its Autocode AI-powered assessment into a 100-mile Year 1 pilot, aiming to streamline data transfer and increase the efficiency of its quarter-section inspection workflow.
SewerAI was implemented across three different CCTV contractors to consolidate and standardize data. The solution assessed over 181,000 linear feet of pipe, accurately identifying that 38% required CIPP lining and 2% needed point repairs. These results confirmed that SewerAI's AI-assisted assessment delivered accurate, actionable recommendations, enabling the City of Phoenix to make more confident capital allocations across its extensive program.