Service detail
Last updated: May 2026
Paid DX PoC
Turn one product or AI idea into a working prototype with weekly demos, acceptance criteria, and a next-step roadmap.
14 days
working proof
A focused PoC should answer one investment decision without becoming a full project.
1 workflow
kept intentionally narrow
One user path, one data path, one success metric, and one demoable outcome.
100%
source handover clarity
Repository, ownership, reusable components, and next-step rights are written into the scope.
weekly
visible review rhythm
Progress is shown as working software, not hidden inside status slides.
Buyer Guide
How Paid DX PoC usually starts
Paid DX PoC starts by narrowing a broad request into the first business result worth proving. The smaller the first scope, the faster the team can expose real risks around data, APIs, user experience, AI behavior, security, and handover.
The first conversation covers the goal, users, current workflow, available data, existing systems, timeline, and internal decision process. From there, Urbano DX recommends whether the first step should be an audit, PoC, MVP sprint, or ongoing delivery track.
The output should not be a demo that disappears after the call. It should leave source, runbook notes, acceptance criteria, open risks, and a next-step recommendation that the buyer can use internally.
First decision
What must be proven before the buyer funds the next step.
Managed risks
Data, APIs, AI behavior, security, adoption, and handover.
After delivery
Internal explanation, next sprint, vendor comparison, or budget approval.
What the PoC proves?
The PoC should prove user value, data feasibility, delivery risk, and the next investment path. It should not pretend to be a full transformation.
- Working prototype
- Demo dashboard or UI
- Data/API assumptions
- Next-step roadmap
Good first scope: what should buyers know?
The best first sprint is narrow enough to finish, but useful enough that a real team will test it. Scope should include users, data, API boundaries, review steps, and acceptance criteria.
- One product owner
- One core workflow
- One success metric
- Weekly demo cadence
What Urbano DX builds?
Urbano DX focuses on working software: apps, web platforms, internal tools, APIs, LLM features, AI workflows, dashboards, and production handover.
- React/TypeScript web apps
- FastAPI or Node backends
- LLM and AI workflow integrations
- Cloud deployment and handover
What myths slow down AI workflow builds?
Myth
If the demo works, the PoC is done.
Fact
A useful PoC also leaves acceptance criteria, logs, risks, handover notes, and a clear next decision.
Myth
AI workflows should be fully automated from day one.
Fact
Early sprints are usually safer with human review, evidence display, and an override path.
Myth
Low-code means there is no engineering design risk.
Fact
Business-critical workflows still need API contracts, permissions, audit logs, and failure behavior.
14-day PoC process
Day 1-3
Define
Lock the workflow, users, data access, risk constraints, and acceptance criteria.
Day 4-5
Design
Choose the smallest architecture that can prove the data path and user value.
Day 6-12
Build
Implement the core app, API, LLM workflow, or automation surface for demo use.
Day 13-14
Validate
Demo the proof, document risks, and decide whether to harden, integrate, or stop.
What you receive
The PoC should leave a buyer with artifacts that make the next internal decision easier.
Working prototype
A demoable app, API flow, dashboard, LLM feature, or automation workflow.
Technical report
Architecture notes, data assumptions, model/API choices, risks, and open decisions.
Source handover
Repository access and handover notes where source-code ownership is included.
Next roadmap
A practical recommendation: harden, integrate, expand, pause, or replace the idea.
Buyer FAQs
How much does a DX PoC cost?
A focused paid PoC usually starts from the Quick DX PoC range. Final pricing depends on data access, integrations, security needs, deployment environment, and acceptance criteria.
How long does an AI automation sprint take?
Most focused PoCs fit into 2 weeks, MVP automation sprints into 4 weeks, and production-oriented integrations into about 6 weeks.
What data is required?
The fastest start includes sample files, API docs, screenshots, example tickets, user roles, current workflow notes, and one owner who can join weekly demos.
Can we start without API access?
Yes. The first sprint can use exports, sample datasets, mocked APIs, or manual upload flows, then move toward API integration once access is approved.
Do you support Japanese documentation?
Yes. Engagements can include bilingual summaries, demo notes, handover materials, and meeting support through the Japan Desk model.
Who owns the source code?
Source-code ownership, repository handover, licensing, and reusable components are defined in the SOW before the sprint begins.
What do we receive after 2 weeks?
For a narrow PoC, the usual output is a working prototype or API slice, demo notes, assumptions, risks, acceptance criteria, and a recommendation to harden, integrate, expand, or stop.
Who owns technical decisions?
Senior engineers stay close to scope, architecture, AI-use risk, technical tradeoffs, weekly demos, and handover quality instead of hiding decisions behind layers of project management.
What does an API sprint deliver?
A focused API sprint can include endpoint design, an OpenAPI-style contract, auth assumptions, sample requests and responses, integration tests, logging, and handover notes.
How do you measure whether the sprint worked?
Each sprint starts with one measurable proof point such as reduced manual steps, successful extraction rate, API handoff success, response time, reviewer acceptance, or pilot-user feedback.
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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