Azure AI Foundry vs UiPath Studio comparison

Microsoft and UiPath are both solutions in the Low-Code Development Platforms category. Microsoft is ranked #10 with an average rating of 8.0, while UiPath is ranked #23 with an average rating of 7.0. Additionally, 100% of Microsoft users are willing to recommend the solution, compared to 80% of UiPath users who would recommend it.

Azure AI Foundry

Read 16 Azure AI Foundry reviews

495 Views
134 Comparison Views

100% willing to recommend

UiPath Studio

Read 5 UiPath Studio reviews

193 Views
93 Comparison Views

80% willing to recommend

Azure AI Foundry

UiPath Studio

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure AI Foundry and UiPath Studio based on real PeerSpot user reviews.

Find out in this report how the two Low-Code Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure AI Foundry vs. UiPath Studio Report (Updated: January 2026).

Buyer's Guide

Azure AI Foundry vs. UiPath Studio

January 2026

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Helped 881,082 peers since 2012

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 AI Foundry

Ranking in Low-Code Development Platforms

10th

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

AI Development Platforms (7th), Integration Platform as a Service (iPaaS) (10th), AI-Agent Builders (3rd)

UiPath Studio

Ranking in Low-Code Development Platforms

23rd

Average Rating

8.4

Reviews Sentiment

4.8

Number of Reviews

Ranking in other categories

Robotic Process Automation (RPA) (28th)

Featured Reviews

Sudhakar Pyndi

Data, Analytics & Ai Senior Director, Enterprise Architecture at a comms service provider with 10,001+ employees

Document processing has accelerated contract reviews and enabled rapid development of AI-driven supply chain solutions

With regard to security, compliance, or governance features in Azure AI Foundry, this is something that we have started looking into, primarily using Microsoft Purview for our governance, data governance. There is this new module called DSPM for AI, and we are exploring it while trying to operationalize it with different policies and so forth, but we're still not where we want to be on the governance, AI governance side. It's a process and a path, and we are trying to work through that right now. Azure AI Foundry can be improved from the governance perspective, as a lot can be done. The promising part is the recent announcement on the Foundry control plane. A couple of days back, there was an announcement regarding it bringing in some of the gaps that were on the platform, so it's a really positive direction in terms of where it's going. More governance is what is lacking, but the control plane will really play a big role there.

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VijayBhallamudi

Senior Business Analyst at Flix

Citizen developers have automated finance processes and created reusable modules across entities

There are some weaknesses, though nothing on the top of my mind at the moment. From a process and OCR point of view, for example, we are currently doing a use case about e-invoicing. We feel the accuracy that the OCR provides from UiPath Studio was not as high as we had initially anticipated. We had to not go with that module that UiPath Studio offers. UiPath Studio has an a la carte mode where you can buy specific functionalities without having to buy the whole package. We decided to test out a few other tools in the market and bought a customized tool specifically for OCR purposes because UiPath Studio's accuracy was not as great. It comes more on a use case-to-use case basis. Certain use cases that we try show that certain functionalities could be improved, and there is definitely a scope for improvement. That being said, the functionalities that we bought UiPath Studio initially for work pretty well. We wanted a centralized automation hub, an Orchestrator, and maximum license utilization for the bots we were purchasing. They are basic, but at the same time, they are easy to use. The ease of use is one of the main reasons why we still favor UiPath Studio. The AI and OCR parts are something we are looking to explore more in the coming year, and that will probably give us more insights into the functionalities and their value. At the moment, we use Oracle as our ERP. We have not had much success integrating with Oracle so far. UiPath Studio offers a lot of customized integrations for SAP, but not much for Oracle Cloud. We had to leverage our internal ERP in-house team to build integrations. We used Oracle Cloud integrations rather than UiPath Studio integrations with respect to ERP. Every conference or event that UiPath Studio organizes, when we have a chance to speak with someone from UiPath Studio, we bring up Oracle Cloud integrations. I believe that in Europe and the US, Oracle Cloud is growing in usage, so we would appreciate more effort focused there. However, with Salesforce, we used a couple of cases with customer service in our company, and we integrated with it very smoothly without any blockers. At the moment, we have not explored AI and ML capabilities of UiPath Studio as much as we should have. We conducted a series of process discovery workshops in our company, and the use cases we received did not require AI or ML functionalities because they were core finance operations, and we did well with just the regular functionalities of UiPath Studio. We are still looking forward to finding a case where we could leverage AI and ML capabilities. We do not want to use AI functionalities just because we want to use them. It is more of a situation where we ask if it is needed, and we are still looking forward to finding a case that demands the need for AI functionalities or a nice-to-have feature. At the moment, we still have not used or explored those things of UiPath Studio.

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Quotes from Members

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

Pros

"The features of Azure AI Foundry that I appreciate the most include the model catalog and the capability to deploy all of these different models, especially now that they've added Anthropic, which was the big one that was missing."

"With Document Intelligence, we just went through Foundry, enabled Document Intelligence, and we were able to get everything done in less than 90 days for the complete end-to-end solution we built on that."

"Azure AI Foundry makes it very straightforward, as I do not have to write thousands of lines of code; I rely on GitHub Copilot and Azure AI Foundry."

"In my evaluation process, I found that Microsoft Azure AI Foundry is much more accessible compared to AWS on model selection and the capabilities of using Document Intelligence versus Textract were much better."

"The benefit of using Azure AI Foundry for the organization is saving time, so saving time and then making money—now that we have this, many people were not doing this because it took them so long to do that research, that has been fixed."

"The feature of Azure AI Foundry that I prefer most is the guardrails, as it is much easier than the one that Bedrock in AWS provides."

"The most beneficial feature for enhancing our customer experience is that it is easy to use for them and for us to implement."

"The features of Azure AI Foundry that I appreciate the most include the containment of all the agents and the ability to see all agents in a single dashboard and to have access to all of them from one portal."

More Azure AI Foundry pros

"The fact that with UiPath Studio we can build reusable modules that we can use across automations has been specifically very useful to us as a company and team driving this project."

"UiPath Studio is good for automating business processes and repetitive tasks within my company."

"Right now we have it deployed, and it is dealing with about 50% of our document volume."

"Compared to other tools, UiPath Studio licensing cost is low."

"There are a lot of great things in UiPath Studio; whatever is required for the development is there, and I do not think I face any difficulty during the development of any use case from UiPath Studio's side."

Cons

"I would evaluate customer service and technical support as terrible. Whenever I have to reach out to customer support, I end up waiting sometimes days for a response, and our 24-hour response time often turns into three to five days."

"I find that the online documentation can sometimes be confusing, requiring extensive searching through multiple articles to locate specific information."

"The deployment process for Azure AI Foundry has been very challenging. There are many issues with policies, and because we have very stringent controls, we need to know exactly how Azure AI Foundry works before we can deploy it."

"I would appreciate it if Microsoft could improve Azure AI Foundry by releasing new features immediately because sometimes we have to wait for weeks or months to use them."

"Even though I have only been utilizing Azure AI Foundry for the past four months, I think the understanding between Copilot Studio and Azure AI Foundry is still somewhat unclear regarding which one to use when and why, and how they complement each other is a journey we are currently undertaking."

"In Azure AI Foundry, I did not see many tools inside to test it that can really help us. I wish there were more tooling."

"My experience with deploying Azure AI Foundry is that, at this point in time, given the limited capabilities available in Foundry, we built pro-code agents, hosted them, containerized them, and deployed them."

"Azure AI Foundry can be improved from the governance perspective, as a lot can be done."

More Azure AI Foundry cons

"On the improving side, concerning costing, I am not sure because the cost of the new product is very high."

"We feel the accuracy that the OCR provides from UiPath Studio was not as high as we had initially anticipated."

"Some of the recent upgraded versions, the package sometimes create problems, so that has to be tested first and then it should be available in UiPath Studio, because everybody wants to use the latest package, but sometimes when we are using the latest package, it creates problems."

"We are not seeing improved ROI because the bigger chunks of use cases we have already addressed. When we take it down to the medium size, the cost of development and deployment is something which is prohibitive and it doesn't make a good financial business case."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Manufacturing Company

15%

Outsourcing Company

13%

Retailer

12%

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	2
Large Enterprise	13

No data available

Questions from the Community

What is your experience regarding pricing and costs for Azure AI Foundry?

I would need to ask my technical team about my experience with the pricing, setup costs, and licensing.

See all answers

What needs improvement with Azure AI Foundry?

The platform's effect on my management of privacy, performance, and compliance across different regions is quite complex because Azure AI Foundry does not make it very clear how to deploy. We set u...

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What is your primary use case for Azure AI Foundry?

My main use cases for Azure AI Foundry include deploying AI applications to perform document comparison, translation services, and a chat feature, helping the digital AI team at our company. Curren...

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What is your experience regarding pricing and costs for UiPath Studio?

The cost is another element which needs to improve because it's increasing and it is becoming prohibitive in some use cases. At the end of the day, you put in so much effort and the licensing and a...

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What needs improvement with UiPath Studio?

Any RPA is never straightforward. It needs a lot of maintenance and it keeps requiring updates. There is a lot of maintenance required. Besides, the cost itself is not where it used to be six years...

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What is your primary use case for UiPath Studio?

RPA is something which we deployed to address some of our documentation requirements or document management related requirements. That's what we are using it for. Right now we have it deployed, and...

See all answers

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Product Reports

Buyer's Guide

Azure AI Foundry

January 2026

Download Azure AI Foundry product report

Buyer's Guide

UiPath Studio

January 2026

Download UiPath Studio product report

Overview

Azure AI Foundry harnesses advanced AI technologies to streamline complex tasks across industries, offering cutting-edge solutions that enhance business processes and boost efficiency.

Azure AI Foundry integrates seamlessly into business environments, leveraging AI to transform traditional operations. It supports diverse applications by providing robust machine learning capabilities that drive innovation and enable intelligent automation. Designed to handle large-scale data analytics, it empowers users to make data-driven decisions swiftly and accurately, thereby optimizing resources and workflows.

What are the key features of Azure AI Foundry?

Scalable Machine Learning: Provides tools to build, deploy, and manage machine learning models at scale.
Data Integration: Offers seamless integration with data storage solutions for comprehensive data processing.
Security and Compliance: Ensures high-level security measures and compliance standards for data handling.
Interactive AI Development: Facilitates interactive and collaborative development environments for AI projects.

What benefits and ROI should users look for when evaluating Azure AI Foundry?

Cost Efficiency: Reduces operational costs through automation and optimized resource usage.
Improved Decision-Making: Enhances decision-making with real-time insights and analytics.
Innovation Acceleration: Supports rapid deployment of AI solutions, driving technological advancement.
Enhanced Productivity: Boosts productivity by automating routine tasks, allowing focus on strategic activities.

Azure AI Foundry is utilized across multiple industries, including finance, healthcare, and manufacturing, where it aids in predictive analytics, patient data management, and supply chain optimization. Its ability to integrate AI-driven insights into everyday operations helps these sectors enhance their efficiency and innovate steadily in dynamic markets.

Microsoft

UiPath Studio is a comprehensive tool for automating repetitive tasks. It's designed to enhance efficiency and productivity by providing a robust environment for building automation workflows quickly.

UiPath Studio offers a rich set of features catering to users looking to streamline operations through automation. Intuitive drag-and-drop functionality and seamless integration capabilities make it ideal for automating both simple and complex processes across diverse environments. Its detailed debugging tools and support for attended and unattended automation enable users to tailor their automation solutions to fit specific needs. By focusing on improving operational efficiency, UiPath Studio helps organizations to innovate while reducing manual efforts. It stands out for its adaptability and ease of implementation, fostering faster, more efficient process automation across industries.

What are the key features of UiPath Studio?

Drag-and-Drop Interface: Simplifies the automation design process, making it more accessible.
Comprehensive Activity Library: Offers pre-built activities for common processes, enhancing workflow creation.
Advanced Debugging Tools: Facilitates error identification and resolution to ensure reliable automation.
Attended and Unattended Modes: Allows flexibility in automation execution, catering to different organizational needs.
Integration with Third-Party Applications: Enhances workflow capabilities by connecting with external systems.

What benefits should users consider when evaluating UiPath Studio?

Increased Efficiency: Automates repetitive tasks to free up valuable employee time.
Cost Savings: Reduces labor costs by leveraging automation to handle routine tasks.
Scalability: Adapts to growing demands and more complex workflows with ease.
Improved Accuracy: Minimizes errors that can occur in manual processes.
Faster Deployment: Quickly implements with minimal disruption, accelerating time-to-value.

UiPath Studio is implemented across multiple industries, including finance, healthcare, and manufacturing, to automate data entry, billing operations, and compliance checks. In finance, it streamlines transactions and reporting. In healthcare, it manages patient data and administrative tasks. Manufacturing firms apply it to handle inventory and quality control processes, ensuring consistency and precision.

UiPath

Buyer's Guide

Azure AI Foundry vs. UiPath Studio

January 2026

Free Report: Azure AI Foundry vs. UiPath Studio

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