Quick answer: An AI MVP is one core workflow built end to end and tested with real users, usually in four weeks, to prove value before a larger build.
Ryason Tech builds production-minded AI MVPs and proofs of concept: one core AI workflow, end to end, tested with real users and delivered on a fixed scope — so you can validate the business case before committing to a full build.
Book a Free MVP Scoping CallModel quality, user demand, workflow fit — we isolate the one assumption your business case depends on and prove or disprove it with a working slice real users can touch.
Fixed-scope sprints of two to six weeks turn your concept into a usable product: a real interface, a real AI feature and real feedback — not a slide deck.
Production-minded code, evaluation harnesses and clean data flows mean your MVP becomes the foundation of the full product instead of a throwaway prototype.
Every sprint ships a coherent, demo-ready product with the engineering discipline of a live system.
A written scope: user journeys, success metrics, exclusions and a fixed price before any code starts.
Core screens and flows you can click, share and test with early users in the first week.
One AI workflow built end to end — chat assistant, agent task or document automation — wired to your data.
A dashboard for leads, conversations and usage, plus event tracking so every claim is measurable.
Prompt safeguards, fallback paths and a test set that scores answer quality before launch.
Live deployment, documentation, credentials and a prioritized iteration backlog — all owned by you.
One week: users, success metric, riskiest assumption and a written scope both sides sign off on.
One to two weeks: clickable prototype plus a model spike, tested with five to ten real users.
Two to four weeks: production stack, guardrails, logging, QA and a staging environment you can review.
One week: deploy, analytics, first-user feedback and an iteration roadmap ranked by impact.
Weeks per MVP Sprint
Code & Model Ownership
Written Scope, Fixed Price
Whether you are a founder validating an AI product, an SMB automating a costly workflow or an enterprise proving an internal use case, the sprint is shaped around one question: what is the fastest honest path to evidence?
Start With a Scoping Call
No. Bring the problem and the users. The discovery week produces the specification: scope, success metric, exclusions and a fixed price you approve before development starts.
One core AI workflow end to end, the interface around it, an admin dashboard with analytics, evaluation checks and deployment. Anything outside that written scope is quoted separately as a change request.
You receive full ownership of code, prompts and data, plus a prioritized iteration backlog. If you want us to keep building, an optional care plan covers monitoring, evaluation updates and new features.