AI Quoting Agent

What It Is

Build an internal AI chatbot, not customer-facing, for service businesses that manually calculate custom quotes on every call (Kirk's example is a mobile mechanic), connecting the tool to the business's parts supplier, labor rates, and fee structure so an employee can generate an accurate price in seconds instead of manually looking up parts, margins, and travel costs for every quote.

The Pitch

Kirk cites a specific transformation from one real client: quoting work that took roughly three hours a day dropped to about five minutes after implementing the agent, since employees now just describe the customer's vehicle and issue to the internal tool instead of manually cross-referencing a parts catalog. He recommends pricing this one as a hybrid, a larger $12,000-20,000 upfront setup fee (since the initial buildout is genuinely more development-intensive) plus a $1,000-2,000 monthly retainer to keep pricing and parts data current, and stresses selling it entirely on the wasted time it eliminates rather than listing technical features.

Who It’s Best For

Someone targeting service businesses that give frequent, complex custom quotes (mechanics, contractors, and similar trades) where the quoting process itself is a clear, provable time sink, rather than businesses with simple, fixed pricing.

The Truth (as we see it)

The three-hours-to-five-minutes figure is a specific claim about one named type of client (a mobile mechanic) that Kirk says he's replicated multiple times, though it's his own account rather than independently verified by the client. The sell-the-pain-not-the-features advice is a general, tool-agnostic sales principle worth applying regardless of the specific AI platform used to build the agent.

Our assessment, based on the video and what’s typical across similar videos. We don’t independently verify income claims or prices.