The Pragmatic Architect’s Guide to Enterprise AI: Balancing Cost, Memory, Context, and Production Reality

Introduction Enterprise Generative AI has officially moved beyond the “cool demo” phase. Most organizations can now build a basic chatbot, connect a vector database, and generate answers from static documents. The real challenge begins after that when systems must operate reliably under enterprise scale workloads, unpredictable user behavior, rising token costs, evolving business data, and strict latency expectations. This is where many GenAI/Agenti-AI initiatives struggle. The gap is no long...