Craft AIDeliveryAI App Development

Delivery

AI App Development

From idea to system in production, on an AI-first pipeline, with everything tight from day 1.

  1. 1
    ValidateBacklog and clickable prototype (Phase 0)
  2. 2
    BuildMVP with fixed scope
  3. 3
    TestPyramid and guardrails from commit 1
  4. 4
    DeployProduction and evolution
We measure
Time to first release
Cost vs. traditional budget
Test coverage on day 1
Evals passed before release
Cost per AI feature (when AI is embedded)
Sound familiar?
  • Building a team takes months before the first line of code.
  • The traditional budget doesn’t add up.
  • Time-to-market pressure: needed yesterday.
“I need this in production this year and I don’t have a team to build it.”
What we do
  • Full greenfield: test pyramid and guardrails from commit 1.
  • Integrations from scratch between systems.
  • We take a backlog, designed screens or just the idea as input.
  • Architecture and business decisions made with senior people; AI executes within those decisions.
  • When the product has embedded AI: evals, guardrails, and cost and latency control already in the first version.
Phase 0 · can be hired on its own
AI Backlog & Prototype

A prioritized backlog and a clickable prototype in 2 to 3 weeks.

How it works
  1. Phase 0: 2 to 3 weeks. Deliverable: problem, success KPIs and architecture decisions agreed.
  2. MVP: 6 to 10 weeks, fixed scope.
  3. Evolution: transitions to Feature Delivery.

Start with the 2-to-3-week Phase 0.

Scope and timeline agreed before you sign. You see the result of each step before deciding on the next.