Government
AI Solutions for Government
Mission owners and public-sector programs can use agentic AI to move beyond chat interfaces and into secure, auditable execution—automating multi-step work across systems while keeping people in charge. Aligning each use case to established governance and risk practices (including NIST's AI Risk Management Framework) helps promising prototypes graduate into reliable production deployments.
What we help government teams do
Agentic AI can carry out defined tasks within clear boundaries by using approved tools and APIs, coordinating steps across systems, and routing exceptions to human reviewers.
This approach fits high-volume, rules-driven work where teams need speed, traceability, and consistent handling from case to case.
High-impact use cases
- Intake-to-decision workflows
- Triage requests, assemble case files, draft determinations, and route items for review with end-to-end traceability.
- Document-intensive operations
- Summarize records, extract key fields, flag missing information, and draft notices and correspondence.
- Secure staff copilots
- Search internal policy, SOPs, and program guidance and return answers with sources and clear rationale.
- Software delivery acceleration
- Support backlog refinement, code changes, test generation, and documentation with evaluation and controls in place.
Consulting engagements
- Discovery and use-case selection
- Identify the best candidate workflows, constraints (data, security, procurement), and success metrics.
- Prototype to pilot
- Build a focused first version, integrate with target systems, and validate it using a repeatable evaluation approach before scaling.
- Production hardening
- Add guardrails, logging and auditability, access controls, red-team testing, and lifecycle risk management aligned to NIST AI RMF functions (Govern, Map, Measure, Manage).
- Vendor-neutral architecture
- Define patterns for orchestration, tool use, and human review that match your cloud and security requirements.
Training for public-sector teams
Practical workshops for technical and non-technical stakeholders cover use-case definition, evaluation, and day-to-day operation of governed AI systems.
Training can be adapted to your environment and mapped to NIST AI RMF concepts, including roles, oversight, and continuous monitoring.