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Azure OpenAI vs UiPath AI Center comparison

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Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
2nd
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
36
Ranking in other categories
No ranking in other categories
UiPath AI Center
Ranking in AI Development Platforms
23rd
Average Rating
8.6
Reviews Sentiment
4.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

MA
Consultant/Owner at Transc byte
Intelligent incident remediation has improved and medical summaries are generated automatically
The customization option in Azure OpenAI is quite challenging because any customization must be done through the knowledge base since Azure OpenAI models cannot be trained. I must build a knowledge base and feed it so that it will learn from that knowledge base. This differs from other local LLMs that I can train directly. For integration of Azure OpenAI with other Azure services, I would rate it five out of ten because it is an open Azure product and integrations work well with Azure services. However, when it comes to services outside of Azure, integration is quite difficult and requires more exploration. It is not as convenient. The point for improvement is integration with third-party services, which has a gap that needs addressing. Regarding other points for improvement for Azure OpenAI, Azure OpenAI is performing well overall, but I believe their models should offer local dedicated models for customers. All data sent to the current models goes to public models. Azure OpenAI should provide solutions to deliver local dedicated models for customers and should enable model training based on customer data. Customers are mostly concerned about their data, so this option is not feasible as currently structured. Even if it were dedicated for the customer and not used by others, it still does not align with compliance requirements because it remains an open model.
reviewer2894310 - PeerSpot reviewer
Software Consultant at a outsourcing company with 201-500 employees
Automated invoice workflows have transformed our document processing and reduced manual effort
UiPath AI Center offers several great features, including the ability to create datasets manually and automate the pipeline for retraining ML models. I can easily set a default timing or create a recurring pipeline to train the documents from Action Center, which provides me with a variety of features, with the easy user interface being one of the best aspects.The recurring pipeline scheduling has saved me a lot of time because I usually have to manually train and mark documents, but when users utilize my bot, they contribute to the data, marking approximately 50% of invoice extraction fields from Action Center. This allows the existing marked data to be automatically retrained, significantly saving me time as a developer and improving the training efficiency since multiple users are validating the invoices, generating a lot of data for training. UiPath AI Center has positively impacted my organization, particularly in automating the invoice extraction process, leading to significant cost savings and time reduction. Manually reading and posting invoices in SAP involves considerable time and effort, but by automating invoice extraction and posting, we now only require users to flag low-confidence fields, allowing for major cycle time reduction and cost savings in invoice processing. I estimate a 50 to 70% reduction in cycle time and roughly a 60% reduction in the required manual effort. Some humans still need to validate the extracted data, so it may be around 60 to 75%.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product's initial setup phase was pretty easy."
"We have many use cases for the solution, such as digitalizing records, a chatbot looking at records, and being able to use generative AI on them."
"Azure OpenAI has significantly reduced costs and increased efficiency in tasks such as aggressive testing of systems to avoid anomalies and trust issues."
"The solution has a very drag-and-drop environment. Instead of coding something from scratch or understanding any concept in extensive depth before deployment, this is good. Plus, they have an auto dataset, which means you can choose any dataset they have instead of providing your own. So that's also pretty nice."
"OpenAI's models are more mature than Watson's. They offer a wider range of features and provide richer outputs."
"The most crucial aspect is the conversational capability, where you can simply ask questions, and it provides answers based on your content and documents, particularly tailored to your specific environment."
"It's very easy to set up and easy to use; there is no issue with that."
"Azure OpenAI is easy to use because the endpoints are created, and we just need to pass our parameters and info."
"UiPath AI Center is found to be very valuable because it has improved significantly in extracting information from each invoice."
"UiPath AI Center has positively impacted my organization, particularly in automating the invoice extraction process, leading to significant cost savings and time reduction."
 

Cons

"Sometimes, the responses are repetitive."
"Our customers are worried about data management, ethical, and security issues."
"The solution's response is a bit slow sometimes."
"Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required."
"Sometimes, it gives answers in English, even when the request is in Polish."
"Azure OpenAI will be expensive if you want to implement it as a permanent solution for a customer."
"One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use."
"I noticed there are no instructional videos or guides on the network portal for initial configurations. There is limited information available, and this is a concern for me. I would like to see more resources and guides to address these issues."
"One improvement I would like to see in UiPath AI Center is the addition of more ML models."
"To improve UiPath AI Center, clients need to be convinced to purchase a separate Document Understanding license because it is quite costly."
 

Pricing and Cost Advice

"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"The platform offers a flexible pricing model which depends on the features and capabilities we utilize."
"I rate the product pricing six out of ten."
"The cost structure depends on the volume of data processed and the computational resources required."
"The solution's pricing depends on the services you will deploy."
"The tool costs around 20 dollars a month."
"Regarding pricing and licensing, it's a bit complex due to the minimum purchase requirement for PTO units. We're evaluating the best approach between PTE and pay-as-you-go models. Our organization is cautious about committing to PTE due to the fixed bandwidth reservation, while pay-as-you-go doesn't offer enough flexibility. We're discussing these matters with legal teams to ensure compliance and data security."
"According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
9%
Financial Services Firm
9%
Computer Software Company
9%
Outsourcing Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise1
Large Enterprise19
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Azure OpenAI?
In terms of pricing for Azure OpenAI, I would rate it as average compared to Gemini. Currently, Gemini is becoming increasingly popular, which prompts leadership to consider a switch primarily due ...
What needs improvement with Azure OpenAI?
The customization option in Azure OpenAI is quite challenging because any customization must be done through the knowledge base since Azure OpenAI models cannot be trained. I must build a knowledge...
What is your primary use case for Azure OpenAI?
Azure OpenAI's main use case for me involves defining solutions for incident remediation where AI provides intelligence to solve problems, perform root cause analysis, or triage incidents or change...
What is your experience regarding pricing and costs for UiPath AI Center?
The pricing for UiPath AI Center is generally acceptable. If pricing could be broken down into simpler parts, such as offering a trial on extracting a specific number of invoices, it would help cli...
What needs improvement with UiPath AI Center?
One improvement I would like to see in UiPath AI Center is the addition of more ML models. Although it currently offers a variety, integrating with Hugging Face to access and deploy their models in...
What is your primary use case for UiPath AI Center?
The major use case I built using UiPath AI Center was for automated invoice extraction, where I created an ML model that extracts all the required fields from invoices. This helped me automate the ...
 

Overview

Find out what your peers are saying about Azure OpenAI vs. UiPath AI Center and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.