Your QS just got an AI assistant

15 May 2026 · 1 min
1:25

In this promotional monologue, William Doyle MRICS highlights the inefficiencies of manual diary reviews in construction projects, noting that they capture only about 60% of legitimate change events, leading to significant missed revenue. Using a £5 million project with a typical 10% variation as an example, he quantifies the loss as roughly £200,000, which could boost a 5% margin project to a 9% margin—an 80% profitability increase. He then introduces a Quantity Surveyor (QS) AI agent embedded within the Gather platform that continuously scans site notes, resource reports, weather logs, and progress updates in real time. The AI interprets commercial events with senior‑QS precision, tags and documents them instantly, and presents them while the contractual window is still open. The solution is trained on the user’s contracts and methods, integrates directly into existing workflows, and augments—not replaces—the commercial team, providing “superhuman reach” and preventing revenue loss.

Chapters

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