Proof asset

Last updated: May 2026

What a 2-4 week software and AI PoC should prove

This public proof format shows the kind of primary information Urbano DX provides for buyer review: scope, duration, deliverables, measurable proof points, and next-decision evidence.

1 live URL

public product surface

Buy Houses Japan is a public web app reference that buyers can inspect.

3 proof screens

search, filters, map

The flow proves natural-language input, AI-generated filters, and map-based comparison.

1 sprint path

from idea to demo

The same scope discipline applies to buyer PoCs: one user journey, one data path, one demo.

KPI-ready

measurement plan

Buyer PoCs define measurable indicators before build, such as reviewer acceptance or API handoff success.

Buyer Guide

How to review What a 2-4 week software and AI PoC should prove

What a 2-4 week software and AI PoC should prove is a proof asset: it shows how Urbano DX expects software and AI sprints to be scoped, reviewed, delivered, and handed over. The point is to replace vague promises with concrete artifacts a buyer can inspect.

When reviewing a proof asset, look past the surface. The important questions are whether acceptance criteria, data assumptions, risks, ownership, and the next decision are clear. A good sprint output supports procurement and business review, not just a nice demo.

Use this page before a first call to align expectations. It helps buyers know which materials to prepare, how to judge a demo, and what should remain useful after the sprint ends.

Evidence to inspect

Working surface, demo path, risks, assumptions, and acceptance criteria.

Internal use

Procurement, budget approval, security review, and next-scope planning.

Good output

Something reusable, handover-ready, and clear enough to explain.

Public reference: Buy Houses Japan

Buy Houses Japan is a public product reference. It demonstrates a natural-language search flow where AI converts user intent into visible filters and map-based results.

  • Natural-language input
  • AI-generated editable filters
  • Map-based result comparison
  • Live product URL available for review

Buyer PoC measurement plan

For client work, the KPI is defined before implementation. The exact metric depends on the workflow, but the sprint should not end without measurable evidence.

  • Reviewer acceptance rate
  • Extraction or classification success rate
  • API handoff success
  • Manual steps reduced
  • Pilot-user feedback

What is not claimed

This page does not invent client ROI. It shows the proof format and the public product example. Client KPI claims should be published only when a buyer approves the data.

  • No fake customer numbers
  • No anonymous ROI inflation
  • Public examples separated from client claims
  • Measurement plan written before build

Case study fields to publish

These fields make a PoC page useful for buyers and easier for AI assistants to cite.

Duration and scope

Sprint length, included workflow, excluded work, data sources, and target users.

Deliverables

Working app, API, LLM workflow, screenshots, demo recording, source handover, or dashboard.

Measured result

One approved KPI such as time saved, accuracy, API success rate, user acceptance, or manual steps removed.

Scope the first sprint

Bring the app, API, LLM feature, or AI workflow you want to test. We will turn it into a clear first-sprint scope.

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