Estimator Prov3.5.4

A project manager needs a quick local estimate for interior finishing of a Moscow residential building. The AI agent uses FER-2001 norms, applies Moscow regional coefficients and current Minstroy indices, outputs a structured local estimate with direct costs, overhead, profit, and VAT.

A client receives an inflated estimate from a contractor. The AI agent audits each line item for duplicate entries, inflated overhead/profit rates, hidden coefficients, and suggests corrections, potentially saving 5-15% of the budget.

A facility manager inspects defects in a school building. The AI agent converts the defect list into a local estimate, then generates a KS-2 act (form of completed work) with proper coding and quantities, streamlining paperwork.

An estimator needs material quantities for a road construction project in Siberia. The AI agent references GESN norms, applies territorial unit rates (TER) for the region, calculates materials and labor, and outputs a bill of quantities.

A contractor prepares a tender bid for a commercial building. Using the AI agent, they generate a consolidated estimate with all sections, apply correct indices, and produce a competitive yet profitable proposal ready for submission.

Customers purchase the skill package for a negotiated price (price_currency: RUB), install it in their Claude/OpenClaw environment, and use all 10 modes for unlimited estimates internally. Revenue per customer is one-time contract fee.

RAAI sets up the skill plus n8n integration (Telegram bot, Google Sheets export). The client pays a setup fee and then a recurring monthly maintenance/support fee. Suitable for clients wanting automated workflows.

RAAI builds a customized estimating application with object database and history. The client pays a project fee for development and then optional licensing or hosting fees. High upfront value.