One runnable AI workflow
A narrow working path with real inputs, model calls or agent steps, and a useful output.
AI MVP Sprint ยท Australia
One AI workflow. Five business days. A$4,000 flat.
For founders and product teams who need proof before spending agency money. We scope, build, and review one narrow AI workflow so you can see what is real.
The offer
Same first validation. Less agency overhead.
The first milestone should answer one hard question: can this AI workflow work well enough to justify the next investment?
This sprint is deliberately narrow. You work directly with the senior developer building it. No account manager, no discovery theatre, no vague "phase one" package.
What you get
A practical proof point your team can inspect.
Repo handoff
Source code, setup notes, and enough structure for your team to keep moving.
Architecture and risk notes
What is solid, what is brittle, where the model can fail, and what needs hardening.
Next-build path
A clear recommendation for whether to extend, rebuild, pause, or change direction.
Good sprint candidates
Use it when the workflow is small but the decision is expensive.
- RAG prototype over a constrained knowledge base
- Internal support agent with tool access
- AI document extraction or triage workflow
- AI-generated code review workflow for a real repo
- LLM provider or architecture proof of concept
- Not a full SaaS build
- Not a broad mobile app
- Not production security hardening
- Not open-ended product strategy
- Not unlimited design or integration work
5 business days
A tight week with a visible output.
Scope the workflow
Confirm the input, output, data boundary, success criteria, and technical constraints.
Build the core path
Implement the narrow workflow with real model calls, basic UI or API access, and setup notes.
Review and harden
Check failure modes, prompt boundaries, data risks, model fit, and obvious implementation debt.
Handoff
Walk through the prototype, architecture notes, risk list, and recommended next-build path.
FAQ
Clear boundaries before we start.
What counts as one AI workflow?
One end-to-end path with a clear input, model or agent step, and useful output. If the idea needs multiple user roles, dashboards, payments, or several integrations, it is larger than this sprint.
Is this a full production MVP?
No. It is a practical validation sprint. The goal is to prove the important AI workflow and expose the risks before you commit to a bigger build.
Can my team keep the code?
Yes. You receive the source code or repo handoff, plus setup notes and recommendations for what should happen next.
What happens if the scope is too large?
We either narrow it to one useful workflow or recommend a different engagement. The fixed price only works when the sprint has a sharp boundary.
Start the sprint
Have one AI workflow to validate?
Book a call or send a short brief. The only thing needed upfront is the workflow you want to prove and why it matters.