Proof asset
Last updated: May 2026
Sample DX audit output
An audit should leave the buyer with a ranked sprint candidate list, risks, assumptions, and a decision-ready next step.
Ranked
candidate list
The audit should end with prioritized opportunities, not a pile of notes.
Risk
explicit assumptions
Hidden data and API assumptions are surfaced before a build sprint starts.
Scope
first sprint
The recommended scope should be small enough to demo and meaningful enough to fund.
Next
buyer decision
The buyer should know the next action after reading the output.
Buyer Guide
How to review Sample DX audit output
Sample DX audit output 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.
Good first scope
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
Audit output sections
Opportunity map
Ranked app, API, AI workflow, and automation candidates.
Risk register
Data, API, security, adoption, AI behavior, and handover risks.
Sprint recommendation
The narrow first scope with assumptions, exclusions, and acceptance criteria.
Decision path
What to approve, pause, validate, or investigate before funding.
Buyer FAQs
Is the audit only documentation?
No. The audit should produce a decision-ready sprint candidate, risks, and the smallest useful next step.
When is an audit better than starting a PoC immediately?
When the workflow, data access, owner, or success metric is still unclear.
Related pages
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.
Start a conversation