AI for government, reviewed before agency-wide use.
Open WebUI helps government organizations provide personnel with controlled access to AI models, internal knowledge, and tools while preserving agency administration over deployment, identity, access, audit, records, and data routing.
"Public trust is operational. It lives in the ordinary decisions: which information an assistant can reach, who may use it, how records are kept, and when a helpful shortcut needs formal review. Government AI has to be useful and accountable."
Government AI has to operate inside agency process.
Run Open WebUI in an agency-selected environment: on-premises infrastructure, private cloud, sovereign cloud, restricted network, or another setting reviewed through the organization's normal process.
Assign models, knowledge collections, tools, and workflows by user group. Program offices, contact centers, legal, acquisition, research, and IT can operate under different configurations.
Keep identity, permissions, retention, audit, and administrator review visible to the officials responsible for security, privacy, records, acquisition, and program accountability.
The demand is already inside the agency.
Policy research, records triage, public-comment review, contact-center drafting, program analysis, acquisition language, and administrative correspondence.
Which models and tools are available, what information they can access, who is authorized to use them, where records reside, and how outputs are reviewed.
When this activity moves into personal accounts or unreviewed tools, agencies lose the visibility needed for security, privacy, records, acquisition, and program governance.
Open WebUI provides a workspace agencies can administer.
Deploy Open WebUI inside the environment selected for the use case. Connect reviewed models, publish internal knowledge, assign access by role, and keep administration close to the offices responsible for technology, security, acquisition, records, privacy, and program oversight.
Pilot policy search, public-comment review, research assistance, service-desk drafting, internal knowledge, and administrative workflows.
Connect local, private, or hosted model endpoints and make them visible only where agency evaluation, policy, and contracts permit.
Manage users, groups, knowledge, tools, model visibility, retention, and audit in a workspace administrators can operate directly.

References for agency review.
Before an AI use case expands, reviewers need to understand where the system runs, how access is assigned, how data is stored, which models are available, what contracts or integrations are involved, and how the deployment maps to agency risk-management expectations.
Start with a workspace your agency can administer and review.
Install locally for evaluation, then move through your normal engineering, security, procurement, privacy, and records review before broader use.
Contact enterprise salesAgency review questions.
- Where does Open WebUI fit in a government environment?
- Open WebUI is the AI workspace layer. It gives agency personnel a controlled place to use reviewed models, knowledge, and tools while the organization administers deployment, identity, access, storage, and routing. It can support internal workflows such as policy search, public-comment review, research assistance, contact-center drafting, records triage, and administrative work, subject to agency approval.
- Does Open WebUI provide an ATO, FedRAMP authorization, or compliance approval?
- No. Authorization, compliance, and procurement determinations depend on the agency, environment, use case, controls, contracts, assessment process, connected services, and operations. Open WebUI can support agency review by allowing self-hosted deployment, controlled model routing, identity-based access, administrative audit, and retention in systems the agency administers.
- What happens to chats and uploaded files?
- In a self-hosted deployment, chats, files, knowledge bases, embeddings, users, permissions, and logs are stored in the database and storage the agency configures. Data is not sent to Open WebUI as a managed service. It is routed to external systems only when the deployment is configured to use an external provider, tool, model endpoint, or integration.
- Can different programs use different models?
- Yes. Open WebUI can connect to local engines such as Ollama, vLLM, OpenAI-compatible endpoints, private endpoints, and hosted providers. Administrators can decide which models are visible to which users or groups, so programs can evaluate and use models according to role, workflow, procurement review, policy, and authorization boundary.
- How does this fit records, privacy, and sensitive-data workflows?
- Open WebUI centralizes access, knowledge sources, model visibility, tools, retention, and administrator review. Agencies remain responsible for determining what information may be used, who may access it, how long it is retained, which systems may receive it, and what records, privacy, acquisition, and security requirements apply.
- Is this for determinations that affect benefits, rights, enforcement, or public safety?
- Open WebUI is a workspace for interacting with AI models and tools the agency configures. It should not be used as the sole basis for benefits, eligibility, enforcement, public-safety, rights-impacting, or safety-impacting determinations. Public-sector organizations should evaluate each model, workflow, control, and output standard before using AI in contexts that affect the public.
