The Situation 

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A mission-intensive adjudication program struggled to analyze millions of textual artifacts, case histories, and cross-referenced records. Manual review processes slowed operations and increased the risk of missing critical patterns. AI adoption was limited due to governance concerns, explainability requirements, and data complexity. Leadership needed an AI solution that enhanced human judgment without compromising trust or compliance. 

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The Solution 

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STS developed a secure, explainable AI ecosystem with: 

• Cloud-based ML pipelines built on AWS and Databricks. 

• NLP models for summarization, topic detection, document classification, and similarity comparison. 

• Graph analytics to visualize relationships across individuals, organizations, events, and timelines. 

• RAG-enabled search grounded in verified internal data. 

• Explainability metadata that showed the “why” behind model outputs. 

• Bias testing, drift monitoring, and validation workflows to ensure responsible AI. 

• Analyst-facing tools that simplified AI oversight, feedback capture, and result interpretation. 

• Integration with mission workflows to support triage, adjudication, and investigative analysis. 

• Audit logging and governance aligned with agency privacy and security standards. 

 

The Impact 

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Review cycles shortened significantly, and analysts gained deeper insight into complex cases. Detection of patterns and anomalies improved, strengthening mission response. Leadership gained confidence in using AI responsibly across high-stakes workflows.