Agentic AI: an engineering approach

According to DIGITIMES, enterprises must treat agentic artificial intelligence as a true engineering discipline. This means adopting structured methodologies for the development, testing, and deployment of these complex systems.

Adopting an engineering approach is essential to ensure that agentic AI systems are reliable, scalable, and manageable over time. This implies careful planning, robust design, and constant performance monitoring.

For those evaluating on-premise deployments, there are trade-offs to consider carefully. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects in detail.