Most AI app governance problems are not caused by malicious intent. They are caused by speed. A team gets a working prototype, stakeholders get excited, and the app moves toward production before anyone has made the operational model explicit.
A better approach is to treat governance as part of delivery. Here are eight controls to put in place before launch.
Why does governance need to be explicit?
IBM's 2025 breach research found that 63% of organizations lacked AI governance policies to manage AI or prevent shadow AI. It also found that organizations with extensive AI use in security saved an average of USD 1.9 million compared with organizations that did not use those solutions. The lesson is practical: governance is not just paperwork. It changes both risk and cost.
1. Clear ownership
Every app needs a business owner and a technical owner. If nobody clearly owns the app, nobody clearly owns the risk.
2. Defined identity and access
Choose how users authenticate and what they can see. For Buzzy-based apps, that may include deployment authentication and external identity providers such as Auth0, Google, or Microsoft.
3. Structured data model
The data model should be explicit and reviewed. This matters even more if an AI assistant will interact with the app through MCP or other tooling.
4. Environment separation
Do not develop directly in production. Use defined deployment environments and a promotion path so changes can be tested before they are published.
5. Change control
Know how app changes are proposed, reviewed, and promoted. Buzzy's software config management model is relevant here because it gives teams a workflow for moving changes between environments.
6. Integration review
List every external API, authentication provider, and custom code surface. These are common failure and audit points.
7. Monitoring and support
Production apps need logs, error visibility, and someone on the hook for support. Reliability is a product feature.
8. Retirement criteria
Not every app should live forever. Define what success looks like and when an app should be consolidated or retired.
Why this checklist matters
Governance slows teams down when it is added late. It speeds teams up when the platform already supports the right controls. That is why deployment architecture matters. A platform that centralizes more of the runtime and environment model can reduce repeated governance work across many apps.
FAQ
Is this only for enterprise teams?
No. Smaller teams benefit too, especially once an app starts touching real data or customer workflows.
What is the most commonly skipped control?
Environment separation. Many teams treat a live app like a sandbox until something breaks.
Can governance coexist with fast delivery?
Yes, if the platform and workflow were designed with production in mind from the start.