Central AI System for Business (OpenWebUI) – One Chat, Multiple Providers, Full Control

Instead of jumping between AI tools and paying per-user subscriptions, we deploy a central system (OpenWebUI) that supports multiple model providers, pay-per-usage economics, and organized history for team knowledge.

Robot holding a tablet: AI assistants

Central AI System for Business with OpenWebUI

Most teams already use AI, but usually in a fragmented way: one tool for writing, another for analysis, another for coding. The result is scattered conversations across multiple providers, duplicated subscription costs, and a real difficulty in building organizational knowledge.

We deploy a central system based on /en/glossary/openwebui/ that enables:

  • one workspace for multiple model providers
  • pay-per-usage economics instead of per-user subscriptions (depending on your setup)
  • organized conversation history
  • user management, permissions, and visibility for leaders

This page is part of our delivery hub: /en/how-we-are/

Why a central AI layer is a business advantage

1) One consistent experience for the team

Instead of each employee choosing random tools, you get a shared workspace with consistent standards and workflows.

2) Permissions, privacy, and governance

Not all information should be treated equally. A central system helps define roles and access rules so AI can be used safely for real business workflows.

3) Organizational memory

With structured history, teams can reuse prompts, templates, and outputs. This creates a practical knowledge base that reduces time and improves quality.

4) Foundation for a “central agent” connected to systems

If needed, the next step is connecting AI to business systems: CRM/ERP, documents, and automation. This is where /en/glossary/n8n/ and our automation service fit: /en/services/n8n-automation/.

What our setup includes

1) Infrastructure and deployment

We deploy OpenWebUI on an existing or new server (see /en/services/infrastructure-setup/) with domain/HTTPS and baseline access control.

2) Multiple model provider connections

We connect multiple providers so you can choose the best model for each task: writing, translation, analysis, coding, and more.

3) Users, roles, and permissions

We define who can use what, who administers the system, and what visibility is required.

4) Standards: templates, prompts, and team workflows

To produce consistent outcomes, we help define reusable templates (lead replies, meeting summaries, document drafting) and what “good output” looks like.

FAQ

Does it replace ChatGPT/Claude/Gemini?

It doesn’t replace the underlying models. It gives you a central layer to access and manage them, reducing tool fragmentation.

Is it useful for a small team?

Yes—especially when usage is high or when you want shared templates and reusable knowledge.

Can it be integrated with our systems?

Yes. Depending on the project, we can connect it to documents, business systems, and automations to move from “chat” to “action.”

If you want AI managed like a business system, OpenWebUI is a strong foundation.