How to Build Enterprise Generative AI Applications
New report provides a comprehensive, practical framework
Federal leaders are optimistic about using generative AI (GenAI) to transform the efficiency and effectiveness of mission operations. Yet many agencies still face barriers to advancing the technology from initial concept to real-world application. A new Booz Allen report, Building Enterprise Generative AI Applications, provides decision makers with the technical blueprint they need to engineer and deploy GenAI applications that meet government requirements for security, scalability, and overall performance.
Drawing from proven implementations, the Building Enterprise Generative AI Applications report details an architecture framework and set of practices that position your GenAI systems to powerfully enable the mission while being reliable, secure, and compliant with federal standards. Read our report for deep insights into:
- The advantages of harnessing a comprehensive GenAI tech stack
- The best model options, from on-premises and cloud to hosted application programming interfaces
- How to select large language models (LLM) based on task complexity and cost
- Special data pipeline requirements for domain-specific use cases
- The imperative to balance human oversight with autonomous agents
- Robust LLMOps practices for monitoring and improvement
- The strong governance, risk, and compliance frameworks needed for responsible AI use
Streamlining GenAI Adoption
GenAI can help agencies instantly synthesize vast information streams, automate complex decision-making processes, and accelerate mission delivery in defense, healthcare, transportation, and beyond. But successfully adopting GenAI means solving complex challenges, whether it’s integrating new capabilities with existing infrastructure, evaluating how different LLMs will perform, or building the governance essential for responsible deployment.
Building Enterprise Generative AI Applications is a practical guide that presents the best insights developed by Booz Allen experts who continue to be at the forefront of federal GenAI adoption. Whether your agency is just beginning to explore GenAI possibilities or is focused on rapidly scaling applications for specific use cases, our report offers strategic guidance you can use right now to unlock improvements with GenAI while maintaining the oversight agencies need.
With an approach that aligns technology with mission objectives while ensuring security, scalability, and ethical compliance throughout the development process, it’s clear that your agency can successfully deploy enterprise-scale generative AI applications.
Start Transforming Your Agency’s GenAI Capabilities Today
