1、Building Enterprise Generative AI Applications A Guide to Getting Started from Booz Allens GenAI Team White Paper 2025Table of ContentsCopyright 2025 Booz Allen Hamilton Inc.Building Enterprise Generative AI Applications /CA-2506-1265002 3 Introduction 4 The GenAI Stack Architecture 5 Infrastructure

2、 and Platform Layers 6 LLM Layer 6 Data and Pipeline Layer 7 Agent and Capability Layer 7 UI/Application Layer 8 GenAI Stack Practices 8 LLMOps:Monitoring,Evaluation and Continuous Improvement 9 AI GRC11 ConclusionGenerative artificial intelligence(GenAI)is reshaping how enterprises approach knowled

3、ge management,decision making,and user interaction.While this technology has immense potential,deploying GenAI at scale within an enterprise requires more than just model accessit demands a strategic,layered approach that aligns with business goals,data infrastructure,and governance standards.This r

4、eport presents a comprehensive framework for building enterprise-grade GenAI applications,structured around a six-layer technology stack architecture:Infrastructure,Platform,Large Language Model(LLM),Data and Data Pipeline,Capability and Agent,and User Interface(UI)/Application.Each layer plays a cr

5、itical role in ensuring scalability,security,and performance.Key considerations include selecting the right deployment model(on-premises,cloud,or hosted application programming interfaces APIs),choosing and orchestrating LLMs based on task complexity and cost,and preparing high-quality data pipeline

6、s to support real-time and domain-specific use cases.We also emphasize the importance of embedding human oversight into AI workflows,rather than relying solely on autonomous agents.Beyond architecture,our report outlines essential practices for success:implementing robust LLM operations(LLMOps)for c