OpenWebUI

OpenWebUI is an open-source system for deploying a central AI workspace for teams and organizations. Instead of every employee using a different AI tool (with conversations scattered across providers), OpenWebUI offers a shared experience: connections to multiple models, user and permission management, and structured conversation history.

We deploy it as part of our service: /en/services/central-ai-system-openwebui/. For the broader delivery approach, see: /en/how-we-are/

Why teams need a central AI layer

1) Consistency and time savings

When a team uses one shared system, you can build templates and standards: lead replies, meeting summaries, document drafting, and research workflows. This improves quality and reduces repeated effort.

2) Governance: users, permissions, and policies

Instead of relying on personal accounts, a central system supports user management: who can access the platform, who administers it, and what kind of content is allowed—important when sensitive business data is involved.

3) Organizational memory

Structured history helps teams reuse prompts and outputs, learn what works, and move from experimentation to strategy.

4) A foundation for integrating AI with business systems

If needed, the next step is to move from “chat” to “action”: connect AI to documents, CRM/ERP, and automation via /en/glossary/n8n/. This can enable controlled agent-like capabilities.

Common business use cases (examples)

• Sales and marketing: drafting email replies, proposals, messaging variations, and consistent templates.
• Customer support: producing consistent answers, summarizing tickets, preparing drafts for human agents.
• Project management: turning requirements into tasks, summarizing meetings, creating status updates from notes.
• Operations and documents: summarizing long documents, extracting action items, searching within content.

When these live in one shared system, teams can adopt standards instead of everyone “doing their own thing.”

Core components of OpenWebUI

Multiple model provider connections

OpenWebUI can connect to multiple model providers. The advantage is flexibility: pick the best model for writing, analysis, translation, or coding without locking into one tool.

User and role management

You can define users, groups, and roles. This reduces chaos and supports responsible adoption.

Prompt and workflow templates

Instead of reinventing prompts, teams can build templates: “summarize customer call,” “reply to inbound lead,” “draft requirements,” and more.

Infrastructure and security

To be useful in production, OpenWebUI needs solid infrastructure: domain, HTTPS, access control, and backups. That’s typically part of: /en/services/infrastructure-setup/.

It’s also important to define usage guidelines: what data is allowed, how sensitive data is handled, and who approves advanced use cases. This is what enables safe adoption at scale.

Cost considerations (pay-per-usage vs per-seat)

One advantage of a central layer is choosing providers and models based on task and cost. Instead of paying full subscriptions per user across multiple tools, you can adopt a usage model that matches reality: some people use AI daily, others occasionally, and you can reserve the most expensive models for the tasks that truly require them.

FAQ

Does OpenWebUI replace ChatGPT?

It doesn’t replace the underlying models. It provides a centralized interface and management layer.

Is it useful for small teams?

Yes—especially with high usage or when you want shared templates and searchable history.

How do we start?

Start with the service page: /en/services/central-ai-system-openwebui/. Then define users, model providers, and templates.

Practical tip: begin with 2–3 high-impact templates (meeting summary, inbound lead reply, document draft). Once adoption is stable, expand into integrations and automation.

OpenWebUI turns AI into a team tool: managed, consistent, and scalable.