Government
Modernize citizen services and back-office operations with agentic AI that speeds case processing, answers constituents instantly, and meets public-sector security and transparency standards.
Government agencies face rising service expectations, backlogs, and legacy systems under tight security and accountability rules. We build AI systems that automate case and application processing, answer constituent inquiries around the clock, and help staff find and apply policy — all within public-sector security, data-residency, and transparency requirements. Every automated action is explainable and auditable, keeping decisions accountable to the public.
Problems we solve
The operational bottlenecks that hold enterprises back — and where AI delivers measurable impact.
Service backlogs frustrate constituents
Applications for permits, benefits, and licenses sit in queues for weeks, and citizens have no easy way to get status or answers.
Manual case processing does not scale
Caseworkers key data from forms and cross-check eligibility by hand, so throughput is capped and errors invite appeals and audits.
Legacy systems resist modernization
Decades-old mainframes and siloed databases make new digital services slow and expensive to build, stalling modernization mandates.
Policy knowledge is hard to apply consistently
Rules span statutes, regulations, and memos, so staff interpret them inconsistently and citizens get different answers to the same question.
What we build
Production-grade capabilities, engineered for enterprise scale, security, and reliability.
Case and application processing agents
Agents extract data from forms, check eligibility against rules, prepare cases, and route decisions to staff, clearing backlogs while keeping humans accountable.
Constituent service agents
Agents answer program, status, and eligibility questions instantly across web, phone, and chat in multiple languages, escalating complex cases with full context.
Policy and knowledge retrieval
A permission-aware RAG layer lets staff query statutes, regulations, and guidance and get sourced, consistent answers, improving decision consistency.
Document and records automation
AI processes, classifies, and summarizes records and correspondence, and helps fulfill public-records and FOIA requests faster with a documented trail.
Explainable, accountable decisions
Every recommendation records its drivers, the rule applied, and its rationale, giving oversight bodies and citizens the transparency public accountability requires.
Secure, compliant deployment
Systems run in government-grade cloud or on-premise within your security and data-residency boundary, aligned to standards like FedRAMP, StateRAMP, and CJIS.
Why it matters
- Backlogs cleared and cases decided faster
- Instant, multilingual constituent service
- Consistent, rule-aligned decisions
- Faster public-records and FOIA response
- Full audit trail on every automated action
- Modernization without replacing the mainframe
Implementation roadmap
Discovery & security scoping
We select a target program, map data flows and security requirements, and agree explainability, accountability, and oversight standards with your agency and compliance teams.
Pilot with staff review
We integrate with your case-management and legacy systems, deploy on a bounded program with staff review on every action, and validate against historical cases.
Production rollout
We complete the authority-to-operate process, harden integrations, wire audit logging to oversight, and deploy under SLA within your security boundary.
Scale across programs
We extend to additional programs and agencies and hand over monitoring so public-sector teams operate and govern the system.
Common questions
We deploy in government-grade environments aligned to FedRAMP, StateRAMP, CJIS, and your agency requirements, keep data within your residency boundary, and support the authority-to-operate process with the documentation your security teams need.
Yes. Every recommendation records the rule applied, the data used, and a plain-language rationale, and consequential decisions retain a human owner. That trail supports appeals, oversight, and public accountability.
Yes. We integrate through APIs, middleware, and where needed RPA or MCP connectors for older systems, adding modern services on top without a costly rip-and-replace of your systems of record.
We test for disparate impact, keep decision rules and drivers transparent, validate against historical outcomes, and monitor fairness in production, so decisions are consistent and defensible to oversight bodies.
No. Constituent data stays inside your governed boundary, is used only to serve your programs, and is never used to train third-party models.