I work with AI Development Services, a software engineering team focused on custom AI systems. We build LLM applications and integrate them into existing products, especially enterprise software.

The difficult part is usually not the first model demo. It is connecting the AI layer to production data, permissions, business rules, monitoring and human review. We outline this engineering approach at AI Development Services.

For teams already running AI in production, which integration or reliability issue required the most work?