Your Quotes Take Days. Your Competitors Quote in Hours.

In most implementations, more accurate than manual. Your senior estimator makes good judgment calls but inconsistent math — especially at 4 PM on a Friday with three quotes due. The AI does not get tired, does not round numbers, and does not forget the surcharge on orders under 500 units. It handles data assembly and calculation. Your estimator reviews the output and applies judgment where it matters — scope interpretation, risk factors, relationship pricing. The combination outperforms either alone.

Yes. We build a quoting layer that connects to your existing systems — ERP, product configurator, material pricing databases, supplier catalogs, carrier portals. The AI reads from your data sources and writes back to your systems via API, database connection, or file transfer. Your team keeps using the same tools they use today. We add speed to the front end, not a new back end.

That is exactly where automation pays for itself fastest. During assessment, we map every pricing rule, discount tier, exception case, and override scenario your team uses. Volume discounts, seasonal adjustments, material substitutions, customer-specific pricing — all encoded into the quoting logic. When a combination falls outside known rules, the system flags it for human review instead of guessing. The more complex your quoting, the more time the AI saves.

Yes. We ingest your historical quote data during implementation — pricing, configurations, win/loss outcomes, margin results. The system identifies pricing patterns that win, flags estimates outside historical ranges, and recommends adjustments based on competitive positioning. As new quotes close, the system refines its recommendations. This is not a static calculator — it gets better as your data grows.

Most quoting automation implementations go live within 45 days. The first two weeks are assessment — mapping your pricing rules, data sources, and exception cases. Weeks 3-5 are build and configuration. Week 6 is parallel testing where the AI quotes alongside your team. Your involvement is heaviest in week one when we map your quoting process and connect your data sources.