AI Estimating Assistant
Yes, for many service categories. AI can analyse customer-submitted photos to identify scope, assess condition, and generate preliminary estimates — reducing or eliminating the need for a site visit on straightforward jobs. The technology works best for roofing, painting, fencing, and concrete work where visual inspection covers most of the assessment.
Photo-based estimating works through computer vision: the customer submits photos of the area, the AI analyses dimensions relative to reference points, identifies material types and condition, and generates a scope assessment. For roofing, aerial imagery (via integrations with Nearmap or EagleView) produces precise measurements without anyone going on the roof. For interior painting, photos of each room plus ceiling height are usually sufficient for a room-by-room estimate.
The accuracy ceiling is real: photo-based estimates work well for standard conditions and fail for unusual ones. A roof with multiple dormers, a paint job with significant surface prep work, or a fence installation on difficult terrain all require physical assessment to price correctly. AI photo estimating is a fast-track tool for straightforward jobs, not a replacement for site visits on complex ones.
The business value: customers who submit photos get a preliminary estimate within minutes instead of waiting 2–5 days for a site visit. This creates a better customer experience and helps filter the leads who will proceed before you invest the time in a full assessment.
Common questions
Through a link you send them — typically triggered by their initial inquiry. The customer clicks the link, takes photos on their phone, and uploads them. The AI processes the photos automatically. The whole flow takes 5–10 minutes for the customer.
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