Product vs Infrastructure - Updated April 2026

ChatGridAI vs Azure OpenAI

Q: Can I use my Azure OpenAI key with ChatGridAI?

Yes. ChatGridAI supports Azure OpenAI as a BYOK (bring your own key) provider. If your company has an Azure enterprise agreement and uses Azure OpenAI, you can connect your Azure OpenAI endpoint and API key to ChatGridAI. You get the compliance and procurement benefits of Azure with the product layer of ChatGridAI - native Teams bot, department isolation, admin dashboard, and document Q&A.

Q: What do I need to build on top of Azure OpenAI to get a production internal AI assistant?

To turn Azure OpenAI into a production internal AI assistant you need to build: application authentication and SSO, role-based access control, a Microsoft Teams or Google Chat bot, a document upload and RAG pipeline, an admin dashboard, audit logging, rate limiting, API key management, and ongoing maintenance of all the above. ChatGridAI provides all of this as a ready-made product layer that can sit on top of your Azure OpenAI endpoint.

Q: Does ChatGridAI work with Azure Government or sovereign cloud deployments?

ChatGridAI is designed for enterprise deployment and supports Azure OpenAI endpoints as a key provider. Customers with specific sovereign cloud or data residency requirements should contact the ChatGridAI team to discuss their deployment options. BYOK support means your model calls go through your own Azure endpoint rather than a shared one.

Azure OpenAI gives you access to GPT-4o and embeddings via API. It does not give you a Teams bot, auth, document upload, department isolation, or an admin dashboard. ChatGridAI provides all of that - and can run on top of your Azure OpenAI endpoint.

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Product vs raw API Deploy in 1 day Azure key supported Auth + RBAC included

Product vs raw APIChatGridAI is a deployable enterprise product; Azure OpenAI is model access for developers to build on

Not mutually exclusiveChatGridAI supports Azure OpenAI as your BYOK provider - Azure compliance, ChatGridAI product

Deploy in one dayChatGridAI is production-ready from day one; building on Azure OpenAI takes months

Enterprise features includedAuth, RBAC, Teams bot, audit logs, and document Q&A built in vs all must-build

Feature Comparison

ChatGridAI vs Azure OpenAI - what each provides

Azure OpenAI is an ingredient. ChatGridAI is the finished product - with Azure OpenAI as an optional ingredient inside it.

Capability	ChatGridAI	Azure OpenAI alone
What it is
Category	Complete enterprise AI product	Model API infrastructure
Who builds the application	Already built	Your engineering team
Time to first user query	1 day	3 to 6 months of development
Enterprise Features
SSO and authentication	Built-in	Must build
Role-based access control	Per-department	Must build
Microsoft Teams bot	Native, built-in	Must build
Google Chat bot	Native, built-in	Must build
Document upload and RAG	Built-in	Must build pipeline
Admin dashboard	Built-in	Must build
Audit logging	Built-in	Must build
Webhook action delivery	Jira, ServiceNow, custom	Must build
Model and Key Setup
Bring your own Azure OpenAI key	Supported	You control the key
Bring your own OpenAI.com key	Supported	Azure only
Model choice	Any model your key supports	Azure-deployed models
Platform cost (50 seats)	$250/mo + tokens	Tokens only + dev cost

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Important Context

ChatGridAI and Azure OpenAI are not mutually exclusive

Many enterprise customers use both - Azure OpenAI as the model layer, ChatGridAI as the product layer on top.

Connect your Azure OpenAI endpoint

In the ChatGridAI admin dashboard, select Azure OpenAI as your provider and enter your endpoint URL and API key. All model calls go through your Azure deployment. You keep your Azure procurement relationship and data residency controls.

Azure compliance, ChatGridAI convenience

If your security team requires Azure-hosted models for data residency reasons, you do not have to build the entire application layer yourself. ChatGridAI provides the product on top while your model calls stay within your Azure tenant.

No double billing

When using Azure OpenAI as your BYOK provider in ChatGridAI, token costs go directly to your Azure billing account. ChatGridAI charges the $5/seat platform fee only. There is no token markup on top of what Azure charges you directly.

Full product layer, your infrastructure

Native Teams and Google Chat bots, per-department document isolation, admin dashboard, audit logging, and webhook actions - all running with your Azure OpenAI models underneath. You get the best of both without building the application yourself.

Decision Guide

When to use ChatGridAI, Azure OpenAI, or both

Use ChatGridAI (with optional Azure OpenAI key) if...

You need a working internal AI assistant, not a blank API canvas
Your employees use Microsoft Teams or Google Chat
You need auth, RBAC, document Q&A, and admin controls without building them
You want to deploy in days, not months
You have an Azure enterprise agreement and want model calls to stay in Azure
You need per-department bot isolation and separate knowledge bases

Use raw Azure OpenAI alone if...

You are building a custom AI application with specific requirements no product covers
You have a dedicated AI engineering team committed to long-term ownership
You need deeply custom UX that a chat bot cannot deliver
Your use case is a customer-facing product, not an internal assistant
Deep Azure service integration (Cognitive Services, Form Recognizer, etc.) is required

FAQ

ChatGridAI vs Azure OpenAI - common questions

Is Azure OpenAI the same as ChatGPT?

No. Azure OpenAI is a Microsoft Azure service that provides access to OpenAI models via API for developers to build on. It is raw model infrastructure. ChatGPT is OpenAI's consumer and business chat product. ChatGridAI is a separate enterprise product built on top of OpenAI models - delivering auth, RBAC, Teams bot, document Q&A, and admin controls out of the box.

Can I use my Azure OpenAI key with ChatGridAI?

Yes. ChatGridAI supports Azure OpenAI as a BYOK provider. You enter your Azure OpenAI endpoint URL and API key in the admin dashboard. All model calls go through your Azure deployment, billing goes to your Azure account, and ChatGridAI charges the $5/seat platform fee only with no token markup.

What do I need to build on top of Azure OpenAI for a production internal AI assistant?

To turn Azure OpenAI into a production internal assistant you need to build: application authentication and SSO, role-based access control, a Microsoft Teams or Google Chat bot, a document upload and RAG pipeline, an admin dashboard, audit logging, rate limiting, API key management, and ongoing maintenance of all the above. ChatGridAI provides all of this as a ready-made product that can run on top of your Azure OpenAI endpoint.

How is ChatGridAI priced compared to Azure OpenAI?

Azure OpenAI is priced per token - you pay for model usage directly via your Azure account. ChatGridAI adds a $5/seat/month platform fee. When using Azure OpenAI as your BYOK provider in ChatGridAI, token costs go directly to your Azure billing with zero markup. The $5/seat covers the complete product layer including the Teams bot, admin, document Q&A, and all enterprise features.

Does ChatGridAI work with Azure Government or sovereign cloud deployments?

ChatGridAI supports Azure OpenAI endpoints as a key provider. Customers with specific sovereign cloud or data residency requirements should contact the ChatGridAI team to discuss deployment options. BYOK support means your model calls go through your own Azure endpoint rather than a shared one, which is a meaningful step toward meeting data residency requirements.

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