Automation-Driven Efficiencies
We provide rapid AI experimentation and customized domain solutions, seamlessly blending commercial and open-source technologies. Our advanced solutions deliver dramatic efficiency gains and enhance consistency and quality while reducing our customers' costs and timelines and elevating user experiences.
Sample Use Cases
Generative AI (GenAI) DevOps and Software Workflows
Agentic Large Language Model (LLM) and Small Language Model (SLM) for Training Materials
Engineering Drawing Quality Compliance – GenAI Workflow Automation
GenAI DevOps and Software Workflows
KBR has modernized code development by automating DevSecOps workflows to support secure federal software delivery. By integrating advanced generative AI tools into development and operational pipelines, we accelerate code generation, streamline bug fixes, automate infrastructure provisioning and embed AI-driven security and compliance checks. Our teams have achieved up to 35% productivity gains in web development and more than 50% faster delivery cycles in software deployments with measurable cost savings and improved code quality. Our work positions federal agencies to meet mission-critical goals with greater efficiency and confidence.
Agentic LLM/SLM for Training Materials
KBR leverages autonomous language model agents to extract structured learning objectives from maintenance and training doctrine, streamlining instructional design and adaptive training delivery for defense training teams. GenAI is integrated into the workflow by automating courseware generation, embedding real-time feedback and enabling scalable, domain-specific instruction through agents that transform static documentation into dynamic, actionable training content. This approach reduces instructional design time by up to 60%. It also improves training quality and responsiveness and enhances workforce agility — delivering measurable cost savings and supporting mission readiness for defense organizations.
Engineering Drawing Quality Compliance – GenAI Workflow Automation
KBR automates compliance reviews of mechanical and electrical engineering drawings for the Air Force sustainment community, replacing the need to manually check hundreds of files against rigorous standards. By integrating multimodal large language models into the workflow, the system rapidly analyzes engineering diagrams, flags formatting and content issues and segments complex views to improve accuracy and completeness. Review times are reduced from hours to minutes. Problematic drawings are efficiently identified for human oversight. Overall quality and consistency are elevated. This leads to significant time savings, higher reliability and enhanced operational readiness.
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