Fitzgerald Construction General Manager and Quantity Surveyor Charlie Evans joins us to discuss how AI could help the business respond to more tenders, improve bid quality and protect commercial margins.With around 80% of Fitzgerald Construction’s work coming through tendering, the process can place significant pressure on a small team, particularly when large volumes of tenders arrive at once.In this conversation, Charlie explains how the business currently manages tender responses, where capacity constraints and margin risks arise, and how a data intelligence platform could help the team reuse information, identify risks and learn from previous bids.The goal is simple: spend less time repeating manual processes and more time submitting high-quality, commercially viable tenders.Timestamps00:00 — Introducing Fitzgerald Construction00:25 — Fitzgerald Construction’s services and nationwide reach02:19 — The role of tendering in winning work03:06 — Managing fluctuating tender volumes04:15 — The pressure and cost of outsourcing tender responses05:24 — Improving tender quality, win rates and margins06:32 — Fitzgerald’s current tender response process07:35 — The scale and complexity of tender documents09:01 — How the team is already using AI10:09 — Reusing information across tenders11:17 — What a data intelligence platform could enable12:53 — How AI could improve the day-to-day workflow14:31 — Learning from lost tenders15:49 — Reducing siloed knowledge and key-person risk16:54 — Building on existing business data17:16 — The importance of high-quality data17:55 — What success could look like over the next 12 months19:23 — Moving from tendering constraints to delivery capacity20:13 — Closing thoughtsRead the full story on our website: firstfocus.co.nz/insights/ai-in-construction-fitzgerald-case-study#Construction #ArtificialIntelligence #AI #Tendering #QuantitySurveying #BusinessGrowth