Enterprise application development faces significant challenges, with each phase of the software development life cycle (SDLC) requiring experts with specific skills. The expertise of the individuals involved, greatly affects the quality and speed of work in each phase. The large size and complexity of modern software systems further exacerbates these problems. Recently, there has been a growing interest in using Generative AI (GenAI) techniques for software engineering tasks. GenAI can help Subject Matter Experts (SMEs) work more efficiently and can help in overcoming skill barriers. By leveraging GenAI, SMEs can save significant time and effort. This paper introduces meta-model based prompting approach to generate enterprise application code leveraging large language models (LLMs). Prompts helps in refinement of input requirements into refined requirements and design specifications using LLMs, ultimately generating code from these specifications. We share our approach and results of applying approach to generate small yet complex applications.