From Idea to Production: How to Bring AI into Real-World Operations

Last week, at our ninth AI Business Roundtable, we discussed the key steps and challenges of deploying AI in enterprise environments.

One of the most thought-provoking questions was:
“Do I need AI agents, or can I achieve my goals with a different approach?”

Key Takeaways from the Discussion:

Event-Driven Design as a Core Principle of Microservices
An asynchronous approach, where microservices “wait” for events, enables efficient communication and scalable development.

Agentic AI vs. Framework-Based AI
There are different paths to solving complex tasks. While AI agents have their place, they require carefully designed applications and architectures to be effective.

ROI from an AI Perspective
Having a great AI solution isn’t enough—you need to deploy it into secure production quickly. Delays can mean falling behind the competition. It’s not about using a sledgehammer to crack a nut, but about selecting purpose-driven AI models that effectively meet business needs.

Our Philosophy: Speed to Production

Our approach leveraging event-driven design, efficient orchestration, and multi-cloud tools—helps clients turn AI ideas into real-world solutions, fast.

During the roundtable, we also demonstrated how CodeNOW AI Factory, an open-source software development platform, enables a seamless transition from idea to production deployment.

A big thank you to Longevity Café for providing a beautiful space for this discussion!