Our work reflects a practical, mission-first approach to AI adoption: identifying where intelligent automation delivers real throughput gains, and building the human-in-the-loop governance structures that federal programs require.
Automating manual processing workflows to reduce operational overhead and improve throughput building human-in-the-loop review frameworks that keep people in control of critical decisions. Evaluating AI tools and approaches against real-world federal operational requirements.
Helped accelerate the path from manual, labor-intensive operations to AI-assisted workflows — without sacrificing the oversight and accountability federal programs require.
Reducing manual review workloads through AI-assisted matching and record evaluation. Improving accuracy and consistency across large-scale address and response processing. Designing human-in-the-loop checkpoints to maintain quality and auditability.
Helped the program process more, faster — with greater consistency and less reliance on manual review at every step.
Accelerating translation of public-facing materials across multiple languages at scale. Automating operational and training documentation workflows to reduce turnaround time. Integrating human review to ensure quality and accuracy before publication.
Helped the agency reach more people, more consistently — reducing turnaround time on multilingual communications without trading away the quality that public-facing federal content demands.
Monitoring natural and technical incidents that may affect field operations or personnel applying gen AI to analyze news and social media for Census-related content and sentiment. Surfacing emerging public narratives and reputational signals before they escalate.
Expanded the fusion center’s field of view — combining traditional incident monitoring with AI-powered public intelligence to give leadership a fuller, faster picture of conditions on the ground.
Designed enterprise cloud and AI security standards across AWS and Azure Architected a zero-trust identity model for autonomous AI agents operating at scale Implemented continuous control testing that proves controls work — not just that they exist.
Delivered automated security assessments across millions of cloud resources without slowing delivery. Modernized IAM and Security Configuration Management practices at enterprise scale. Integrated shift-left security into CI/CD pipelines to catch issues before they reach production.