Booz Allen – Building Enterprise Generative AI Applications, 2025

The document focuses on building enterprise applications based on generative artificial intelligence (GenAI) and offers a comprehensive framework for their development based on a six-layer technology stack architecture.

Key takeaways include the need for a strategic, multi-layered approach that aligns with business goals, data infrastructure, and governance standards for successful enterprise-scale GenAI deployment. Important aspects include choosing a deployment model (on-premises, cloud, or API hosting), selecting and orchestrating LLMs based on task complexity and cost, and preparing high-quality data pipelines for real-time and domain-specific use cases. The report emphasizes the importance of embedding human oversight into AI workflows rather than relying solely on autonomous agents. It highlights the need for robust LLM operations (LLMOps) for continuous monitoring and improvement, as well as establishing strong governance, risk, and compliance (GRC) frameworks.