AI & Automation for Government
Private, on-premise AI agents and custom platforms for government and public-sector teams — citizen enquiry triage, document processing and internal workflow automation, deployed on your own infrastructure with no data leaving your environment and no external APIs.
The constraints we hear: citizen enquiries queued for days before triage, officers manually re-keying form data into legacy systems, cross-department processes tracked in email and Excel, and no way to adopt modern AI without sending data offshore.
What the agents do. Enquiry triage runs bilingually across web, phone and email, routing to the right department with citations to the source material, in seconds rather than days. Document processing extracts structured data from forms and submissions and routes it for officer review. Workflow automation carries cross-department approvals and case management with a full audit trail.
Self-hosting is the point, not a variant: the same architecture we use for regulated financial-services clients. See how the agents are built or book a scoping call.
Frequently Asked Questions
What exactly does your AI agent do?
For government teams, Genium's AI agents handle three specific workflows: bilingual citizen enquiry triage across web, phone and email; document processing that extracts structured data from forms and submissions; and cross-department workflow automation with a full audit trail. Enquiries are routed to the correct department with citations to source material in seconds rather than days, while extracted document data is routed to an officer for review rather than auto-actioned.
How will your solution protect our data (and our citizens' data)?
Genium deploys these agents on the government client's own infrastructure, with no data leaving the environment and no external APIs called. This is the same self-hosted architecture used for regulated financial-services clients, chosen specifically so public-sector data never has to go offshore to adopt modern AI.
How does your solution keep a human in the loop?
Officers stay in control at the decision point: document processing extracts data from forms but routes it to a human for review rather than acting on it automatically, and workflow automation moves cross-department approvals through a case-management trail rather than approving them itself. The agent's role is triage, extraction and routing — the accept/reject or approve/deny decision remains with staff.
How much effort is required to use and maintain the solution?
Effort depends on integration scope rather than a fixed figure, because the platform runs on the government team's own infrastructure and needs to connect to existing legacy systems and department workflows. The trade-off of self-hosting is that internal IT involvement is required for deployment and upkeep, in exchange for data never leaving the environment.
How is an AI agent different from a chatbot?
A chatbot follows scripted conversational flows and answers questions; an AI agent, as deployed by Genium, triages incoming enquiries, extracts data from documents, and carries multi-step approvals across departments with an audit trail. The distinction is that a chatbot only talks, while an agent routes, processes and moves work through a case-management system.
What business outcomes should government teams expect?
Government teams should expect enquiry triage that moves from days-long queues to seconds, elimination of manual re-keying of form data into legacy systems, and cross-department processes that leave a full audit trail instead of living in email and Excel. Outcomes scale with how much of the enquiry, document and approval workload is currently manual — the more of it is queued or re-keyed by hand today, the larger the shift after deployment.