Not until you’ve decided what it is allowed to become. Give it a defined job, test the awkward cases and name the person who keeps it working before other people rely on it.
It works, so what’s the problem?
Working is a start. Dependable is the next job.
1. Give the prototype a defined job.
Purpose. Which task and users is it intended to support?
Information. What may it read, store, send or change?
Boundary. What still stays in the existing system or process?
A fictional example: test the awkward case.
- The app
- A request app sends one submission successfully.
- Also check
- A double-click, a missing field, an unavailable connection and a user without permission.
- Ask
- Can someone see what happened without guessing or submitting it again?
2. Name the person who keeps it working.
Review. Have someone qualified review the relevant code, access and dependencies.
Recovery. Keep an appropriate backup and a tested way back.
Support. Record ownership, instructions and how changes reach users.
Practical check: “It worked when I tried it” doesn’t tell you who fixes it next month.
3. Choose its next stage.
Keep it as a personal experiment, run a limited team pilot, or prepare it as a supported business application. Make that choice before replacing a process other people depend on.
Practical check: Decide the next stage. Don’t drift into it.
Read more: Build, Buy or Configure? Choosing an AI Solution · Maintaining an AI Agent: What to Do When Things Change
The example is fictional. These are starting questions, not a security assessment.