How to secure and support internal AI apps built by non-technical employees
Non-technical employees are building internal business applications using AI tools that bypass standard IT reviews, creating a massive queue for production sign-off and a wave of shadow IT. Because standard deployment processes like CI/CD are impossible for non-developers to follow, IT managers are left with no way to establish proper governance or security standards without breaking the speed of business.
What people tried
Every workaround mentioned in the threads below. We haven’t tested any of them — and nobody here is claiming they worked.
- 1Treating AI-built internal apps as ephemeral and securing the environment perimeter (paved road / managed infrastructure) rather than auditing every line of generated code
- 2Routing around IT or creating shadow IT when approval processes have too many technical hurdles
- 3Refusing to approve or run any AI-built applications due to safety and maintenance risks
In their words
Unedited, most upvoted first, each linked to the thread it came from.
“How we ended up in a timeline where non tech people think they can shit out an app and have it actually operate in a serious business? No idea”source ↗
“Lol, this "paved road" is impossible to follow for someone not technical. I guarantee you have a boat load of shadow IT happening because Mike from accounting doesn't know what CI/CD is”source ↗
“I have a growing queue of employee-built internal tools waiting for IT approval, and I need to establish a formal sign-off standard before granting production access.”source ↗
Where this came up
People with this problem also raised
- 3How to let AI update CRM data without breaking hidden workflows
- 2How to push back against forced AI tools at work
- 4Is it safe to use AI for business financial data?
- 3Employees demanding IT changes based on AI chatbot instructions
- 4How to use AI in grant writing without getting flagged
- 4Why am I being forced to use AI at work?