
In this promotional presentation, William Doyle MRICS argues that traditional manual diary reviews capture only about 60% of legitimate change events, leading to substantial missed revenue—estimated at £200,000 on a typical £5 million project with 10% variations, which could boost project margins from 5% to 9% (an 80% profitability increase). He introduces the QS AI Agent, an artificial‑intelligence tool embedded within the Gather platform that continuously scans site diaries, resource reports, weather logs, and progress updates in real time. The agent interprets commercial events with the precision of a senior quantity surveyor, tags and documents them instantly, and delivers the information to the commercial team while contractual windows remain open. The solution is positioned as non‑disruptive, leveraging the user’s existing contracts, methods, and data, and augmenting—not replacing—the commercial team’s capabilities, thereby turning daily manual review time into recoverable value.










