Argentina has more than 200,000 companies connected to the construction sector. In 2025, permitted floor area grew more than 15% year-over-year, driven by both private projects and public infrastructure works. On every one of those job sites, hundreds of micro-decisions are made every day: how much material is left in stock, whether the concrete arrived on time, which sector finished laying the insulation layer. And most of those decisions are made without data.
The paradox of modern construction is that there have never been more technological tools available — from surveying drones to BIM platforms — yet the flow of day-to-day information remains chaotic. The site manager still coordinates by WhatsApp. The foreman still takes notes on paper. And the resident engineer still estimates construction progress from memory.
The cost of that gap is measurable. Materials ordered twice because nobody logged the delivery. Safety incidents that weren't reported in the moment and ended up as legal problems. Labor hours miscounted because there's no precise record of presence and tasks. Construction progress that the client requests weekly and that gets estimated instead of measured.
We spoke with project directors at more than thirty construction companies before developing our first solutions for the sector. The pattern was consistent: there were central systems — some sophisticated ERPs, many shared Excel spreadsheets — yet 80% of the operational data never reached them. The reason was always the same: the friction of entering a record is incompatible with the pace of a job site. A foreman with a hard hat and gloves isn't going to stop to open an app and fill out form fields.
Conversational AI capture changes that model radically. Instead of asking the worker to adapt to the system, the system adapts to the worker. A 20-second audio clip, a photo of a delivery note, an informal text message. These are the same inputs the worker was already generating. The difference is they're now processed automatically: location, event type, people involved — all extracted and turned into a structured record with geolocation and timestamp.
With Queiros, construction companies can configure specific workflows for each type of event: material deliveries, safety inspections, progress reports, labor hours. No forms. No additional apps. Data is captured through WhatsApp, structured by AI, and available in real time to the management team.
Construction is a sector where the quality of operational data can determine the profitability of an entire project. Companies that start capturing that information today will have a structural advantage over those that keep relying on memory and paper. This isn't about advanced technology. It's about not losing what already exists.
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