Document reading and data extraction
Pull fields from resumes, invoices, contracts and forms into your database.
AI document processing →Azure OpenAI Integration
Azure OpenAI, built into your own applications
GPT models in your .NET, web and business apps, running in Microsoft Azure with your data under your control.
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Azure OpenAI Integration for Your Business Applications
Azure OpenAI gives you OpenAI's GPT models through Microsoft Azure, with Azure's security, compliance and regional hosting. For a company already on Microsoft 365 or Azure, it's usually the simplest way to use generative AI with business data: it sits inside an Azure subscription, uses Microsoft Entra ID for access, and Microsoft states that your prompts and outputs aren't used to train the models.
SharpQuest builds Azure OpenAI into the applications you already run. We're a Microsoft-stack software company (.NET, Azure, SQL Server) in Michigan, a member of the Microsoft AI Cloud Partner Program, and we use Azure OpenAI in our own software: our careers page reads an uploaded resume and fills in the job application.
- Pilot
- 2+ weeks, on your own data
- Where it runs
- Your Azure subscription or ours
- Your data
- Not used to train the models
- Models
- Azure OpenAI by default; OpenAI or Gemini if you prefer
What You Can Build With Azure OpenAI
Six features we build most, each inside the application your team already uses.
Summaries
Long reports, contracts, case notes or support threads summarized for the person who has to act on them.
Question answering over your documents
An assistant that answers from your policies, manuals and past tickets, with links to the source, using retrieval-augmented generation (RAG) on Azure AI Search.
Drafting
First drafts of emails, product descriptions, proposals and replies, from your templates and data, for a person to review.
Classification and routing
Sort incoming emails, tickets or orders by type and urgency and send them to the right queue.
Plain-English questions about your data
Ask "Which customers ordered less this quarter than last?" and get the answer from your database, within the user's permissions.
AI for your ERP →Azure OpenAI vs the Public OpenAI API
The question buyers ask most.
| Item | Azure OpenAI | OpenAI API |
|---|---|---|
| Billing and contract | Your Azure subscription and Microsoft agreement | Separate OpenAI account |
| Where it runs | Azure region you choose | OpenAI's infrastructure |
| Sign-in and access | Microsoft Entra ID, Azure role-based access | API keys per OpenAI organization |
| Network | Private endpoints and virtual networks available | Public internet |
| Training on your data | Not used to train models | Not used by default for API data (per OpenAI) |
| Compliance | Covered by Azure's compliance offerings, including Microsoft's HIPAA BAA | OpenAI's own terms |
| New models | Usually arrive after OpenAI's release | First |
When we recommend Azure OpenAI
You already use Microsoft 365 or Azure, you need private networking or regional hosting, or your contracts require Microsoft as the processor.When OpenAI or Google Gemini may fit better
You already have an account with that provider, or a feature needs a model only they offer. We work with all three, and you can use your own account.Our Azure OpenAI Integration Services
01
Use case and model selection
Pick the use case, the model and the cost per request that make sense.
02
Azure setup
The Azure OpenAI resource, Key Vault for keys and secrets, AI Search for your documents, and Entra ID access, in your subscription or ours. In yours, your IT team keeps networking (virtual networks, private endpoints, firewalls); we set up and maintain the AI resources.
03
Grounding on your data (RAG)
Index your documents with Azure AI Search so answers come from your content, with citations.
04
Application integration
Build the feature into your .NET, web or mobile application, or into Dynamics 365 Sales, with the prompts, validation and error handling a production feature needs.
05
Human review and logging
Log prompts and results for audit; route low-confidence results to a person.
06
Cost control and monitoring
Token budgets, caching and model choice to keep the Azure bill predictable; alerts when quality or cost drifts.
How an Azure OpenAI Project Works
-
Free
Consultation
Your use case, your data, your systems.
-
2+ weeks
Pilot
On your real data; you see the answers and the cost per request.
-
8+ weeks
Build and integrate
Into your application, depending on scope.
-
Before launch
Test
Against real cases; set the review thresholds.
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Ongoing
Launch and support
Monitor and tune under a support plan; we move you to newer model versions before Microsoft retires the old ones.
See It Working
The Azure OpenAI we run on our own site, and four demos anyone can try.
Our own software
Try it on the careers page →
Resume to job application
On our careers page, a candidate uploads a resume and Azure OpenAI reads it and fills in the job application: name, contact details, skills and experience. It runs in production on this site.
Azure OpenAIin our Azure subscription
.NETon the SharpQuest site
- Name
- Address
- Phone Number
- LinkedIn URL
- GitHub URL
- Education Degree
- Degree Year
- University
- Primary Skills
- Current Company
- Certificate Holder
- Policy Start Date
- Policy End Date
- Date Issued
- Insured Company Name
- Insured Company Address
- Producer
- Policy Number
- General Aggregate Amount
- General Liability Amount
- Vendor Name
- Expense Date
- Expense Amount
- Summary
- Party 1 name
- Party 1 address
- Party 2 name
- Party 2 address
- Who are the parties signing
- Which court
- Is the document signed
Try it on the Showcase page
Upload a sample and see the extracted data in about 2 minutes.
Need data from documents?
Invoices, orders and forms are the most common Azure OpenAI project. See AI document processing
dQuest.ai
Our own platform for AI document processing and chat with your documents, with a free plan to try. Document projects start from working software, not from scratch. Visit dquest.ai ↗
What Our Clients Say
Deepak Kakar
Sr. Manager - IT, SanDisk (Western Digital Company)
The SharpQuest team built an easy-to-use application that is well integrated with our existing ERP/data warehouse. It was well received by the business users due to its user-friendly UI, accuracy of data, and responsiveness.
Cynthia G
IT Manager, TKS Industrial Company
When I first began working with SharpQuest, I was really out of my lane. The team has always assisted with providing clear guidance on the projects we have worked together on. We have really updated the use of the sql database, and it continues to evolve. They are very much in tune with what we ask, and can usually create this to work exactly the way we ask. It's a pretty high quality tracking space.
Azure OpenAI Integration FAQs
What is Azure OpenAI integration?
Connecting Azure OpenAI (OpenAI's GPT models hosted by Microsoft Azure) to your own applications and data, so features like summaries, document extraction or question answering work inside the software your team already uses.
Is our data used to train Azure OpenAI models?
No. Microsoft states that your prompts, outputs and data in Azure OpenAI aren't used to train the models, aren't available to OpenAI or other customers, and stay in Microsoft's Azure environment. If Microsoft's abuse monitoring flags a request, it may be stored for review by authorized Microsoft staff; eligible customers can apply to turn that storage off.
What's the difference between Azure OpenAI and ChatGPT?
ChatGPT is OpenAI's chat app for people. Azure OpenAI is a service developers use to build GPT models into other software, under your Azure account and controls.
How much does Azure OpenAI cost?
Two parts: Azure usage, which Microsoft bills per token (roughly, per word processed) and depends on the model and volume; and the development work to build and integrate the feature. We estimate the monthly Azure cost during the pilot, from your real usage.
Can Azure OpenAI work with our .NET application?
Yes. Microsoft provides .NET SDKs for Azure OpenAI, and most of our work is on .NET. It can also be called from any language through its REST API.
Can it answer questions using our company documents?
Yes, using retrieval-augmented generation: your documents are indexed with Azure AI Search, and the model answers from the matching passages, with links back to them.
Do we need our own Azure subscription?
No. We can run it in your subscription or in ours. In yours, you own the data and the billing; your IT team keeps control of networking and we manage the AI resources (Azure OpenAI, Key Vault, AI Search).
Can we use OpenAI or Google Gemini instead?
Yes. We also build with OpenAI's API and Google Gemini, and you can link your own account. Azure OpenAI is our default when there's no preference.
How do you keep AI answers accurate?
We ground answers in your data, limit the model to the task, test against real examples during the pilot, and send low-confidence results to a person to check.
What happens when Microsoft retires a model?
Azure OpenAI model versions have retirement dates. Under any of our support plans (Essential, Professional or Premium), we track them, and test and move your application to the newer version before the old one is switched off, as part of maintenance updates within the plan's monthly hours.
Have a use case in mind?
Tell us what you want your application to do with AI. We'll tell you if Azure OpenAI is the right fit and what a pilot would look like, in a free consultation.
- Attach a sample document or a screenshot of the screen you want to add AI to
- We sign your NDA before you share details
- After you send it, you can book a 30-minute call straight away