Why AI Pilots Fail: The Gap Between a Great Demo and Production
A successful AI demo proves that an idea can work.
Production proves that it can work reliably, securely, repeatedly, and at scale.
That difference is where many AI initiatives stall.
Moving from pilot to production requires much more than model performance. Teams also need to solve for:
- System and workflow integration
- Production-quality data
- Security and governance
- Monitoring and observability
- Clear technical and business ownership
- Scalability and reliability
- Measurable business KPIs
The challenge is not simply building a better AI model.
It is building the production foundation around the model.
In our latest FAMRO article, we explore why promising AI pilots fail to cross this gap and what organizations can do to design AI initiatives for real-world deployment from the beginning.
👉 Read the full article:
https://famro-llc.com/blogs/why-ai-pilots-fail-the-gap-between-a-great-demo-and-production.html
