Scoping and success criteria
One question, one metric, one threshold — written down and signed before a line of code.
Build & Engineering
Four weeks to a decision, not a demo reel.
The problem we solve
A prototype should answer one question: is this worth building properly? We run tightly scoped four-week builds on real data, with the success measure and the kill criterion agreed before we start.
One question, one metric, one threshold — written down and signed before a line of code.
Real data, real permissions and real latency, so the results transfer to a full build.
Sessions with the people who would actually use it, capturing where trust breaks.
An engineering estimate and run-cost model for the production version, based on what the prototype measured.
How the engagement runs
Scope lock, data access, success criteria and architecture sketch.
Build and iterate with mid-point review and user testing.
Measurement, costing and the go/no-go readout.
Common questions
Related practices
Production-grade AI-native web, mobile and embedded applications with offline sync, enterprise SSO and real observability.
ViewAgentic workflows wired into ERP, CRM, ticketing and document systems, with human checkpoints where risk demands them.
ViewRetrieval architecture, fine-tuning, evaluation harnesses and inference cost tuning built for production traffic, not demos.
ViewA 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.