Remotebase

Companies spend months on AI initiatives that never reach production. The pattern described: hiring a consultancy, sitting through demos and slideware, a pilot stalling in IT security review, buying ChatGPT seats, forming a steering committee, and a roadmap reset, all over roughly six months. The outcome is nothing in production and budget gone. Big consultancies are described as charging $500K upfront, spending nine months on discovery, delivering a slide deck, and selling implementation separately, while doing it in-house means engineers learning AI on the job and pilots that never leave staging.

Remotebase runs a fixed 30 day process to take an AI workflow from idea to production. Day 1 scopes and prices the workflow, days 2 to 14 build a working prototype running on the client's real data and environment, days 15 to 30 have senior engineers build, integrate, and deploy with weekly progress demos, and by day 31 the AI is in production on the client's code, team, and stack. Engagements are fixed scope, fixed price, and fixed deadline with no open-ended retainers or endless discovery phases. Four specific offerings are listed: a two-week Diagnostic to identify what's worth building, a four-week Sprint to build it end to end, optional Operations where Remotebase runs the resulting workflow, and Embedded Engineers who join a client's codebase on a flexible basis. The company states it only takes engagements it is certain it can deliver and uses the Diagnostic to confirm what's worth building before signing.