AI Estimating Assistant
AI estimating software collects job specifications from the customer — dimensions, materials, scope, location — applies your stored pricing rules and labour rates, and generates a formatted estimate automatically. The estimator reviews and sends, rather than building from scratch.
The workflow starts with intake: the AI assistant asks the customer or your field team for the information needed to price the job. For a fencing company, that's linear footage, material type, and access conditions. For a painting company, it's square footage, surface condition, number of coats, and any prep work. The AI gathers this through a conversation or a structured form.
Once the data is collected, it runs against your pricing configuration: your per-unit rates, labour multipliers, material markups, travel costs, and any special conditions you've set. The output is a draft estimate in your template. Your estimator reviews the numbers, adjusts anything specific to the job, and sends it to the customer — typically in minutes rather than hours.
The shift in where human effort goes: instead of manually calculating every estimate from scratch, the estimator's job becomes quality control and relationship management. They check that the AI got the scope right, adjust for site-specific factors the AI can't assess, and send. Jobs that used to take 45 minutes per estimate take 10.
Common questions
No. AI estimating eliminates the repetitive calculation and data-entry work, but the estimator still handles site assessment, client relationships, and judgment calls about scope ambiguity. The estimator produces more estimates per day — not fewer.
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