Normalized claim
Time: 90% decrease
Manual research time was reduced by 90% or more.
Dunaway, a Texas-based multi-discipline design, planning, and engineering firm, needed to reduce the time engineers spent manually searching and interpreting city, county, and state regulatory documents across more than 50 Texas cities. The company implemented an AI agent using Microsoft Copilot Studio and Microsoft Power Platform components to provide city-specific answers from current regulatory documents with citations and escalation to subject matter experts. Power Automate was used to weekly collect and update documents from an Excel manifest, store them in SharePoint, and organize them in Dataverse for the Copilot Studio agent.
Reported outcomes
Time: −90%
Time & speed
Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →
Normalized claim
Time: 90% decrease
Manual research time was reduced by 90% or more.
No explicit deployment-stage evidence found.
Primary read
Showing 3 of 4
An Excel manifest drives weekly Power Automate flows that collect regulatory documents from static and dynamic sources, store them in SharePoint, and load them into Dataverse. Microsoft Copilot Studio then uses the structured content as the knowledge source to answer questions with citations and escalation to subject matter experts, while keeping city-specific information separated.
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