July 1, 2026 · 3 min read
Why we publish prices for custom AI work
Fixed published prices are unusual for integrators in this region. They are also the discipline that keeps projects small, fast, and honest.
Ask three integrators for an AI chatbot quote and you will get three discovery calls, two proposals, and price spreads of five times for the same scope. The opacity is not malice; it is a symptom. When a vendor cannot predict their own delivery cost, the quote becomes a bet, padded accordingly.
We publish prices because it forces the opposite discipline. A fixed price only works if the scope is genuinely fixed, which means the packages must be assembled from parts we have built before: knowledge pipelines, CRM connectors, telephony bridges, escalation logic. Productized parts, custom assembly.
What fixed price does to a project
It kills scope creep in both directions. You know what you are buying; we know what we are building. Changes become explicit decisions with prices, not silent additions that surface at invoice time.
It also changes the audit. Because the package price is public, the audit's job is not to justify a number; it is to check whether the smallest package that solves your problem is truly a fit. Sometimes the honest recommendation is a smaller one, and occasionally it is none at all. A published price list makes that honesty affordable.