

Find out in this report how the two AI-Agent Builders solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Each one we've carefully measured ROI and been able to demonstrate significant ROI with them.
The biggest return on investment for me when using Azure AI Foundry is the savings in cost for implementing our own observability, visibility, evaluation, and building our own infrastructure to do proof of concepts.
The playground is where you can deploy the model and test, and guardrails serve as the protection mechanism.
It has saved about 20% to 30% of costs.
We have seen a 100% return on investment.
UiPath has reduced human error and saved employee time.
I evaluate customer service and technical support positively because we have the enterprise license, which allows us to prioritize serious issues, ensuring that Microsoft support responds quickly.
On a scale from one to ten, I would rate customer service and technical support as a nine.
I am receiving full support due to our partnership with Microsoft and because we are in the evaluation phase.
They were very helpful, addressing the issue in three hours.
Even though they are external, I can ping them on Slack and I get a response right away, so they really make it very accessible to be in touch.
He works through whatever unique internal environment scenarios we have to overcome to make sure that it's doing exactly what we need, even though we're constantly having new security measures to implement on top of it.
Azure AI Foundry scales with the growing needs of my organization very well.
The platform expands to all of our needs without us really having to do anything, so scalability is definitely there.
I've had a couple of times where I've had to get to the VP level of Microsoft before I could get the capacity I needed for my customers.
The solution is capable of scaling with just a few clicks.
The scalability of the UiPath Platform rates a ten out of ten.
From a technical standpoint, it's essential to make the right technical decisions and design a scalable solution.
I have not experienced any downtime, crashes, or performance issues.
Regarding stability and reliability, I've had zero downtime with Azure AI Foundry, and it helps fix itself.
I would assess the stability and reliability of Azure AI Foundry as very good.
Overall, there was only one instance of downtime in four years, which did not create any significant impact.
I have not experienced any downtime, crashes, or performance issues.
Over six years, we have created zero support cases with UiPath.
Providing data on the internal workings of Azure AI Foundry would help customers like us feel more comfortable adopting it.
What did not work well for us regarding Azure AI Foundry includes the security piece, being able to identify how to deploy to multiple regions, reducing latency, and managing tokens per minute.
With code, you know what the binary result is, but with prompting, it is a lot harder.
Adding more AI could help in small tasks that require intelligence or machine learning, leading to the next stage of automation.
If the UI changes or a label is changed, sometimes the whole flow breaks.
Regarding additional functionality for UiPath, I believe that additional features will only come into play when you start talking to the customers, accept feedback, and work on it.
Regarding the pricing, setup cost, and licensing of Azure AI Foundry, I would say it is fair, but I think it gets more expensive.
the pricing, setup costs, and licensing for Azure AI Foundry are very expensive, but still cheaper than hiring an additional position
It was difficult to get an understanding of how we could model out our pricing and cost over time without talking to someone.
Most of the UiPath products are priced higher than competitors.
The cost can be a barrier in Hungary, making it difficult for me to persuade others to invest, especially when unattended robots come at a significant price point.
When compared to competition, such as Microsoft's Power Automate platform or IBM Cloud Pak, UiPath is expensive.
Some examples of how its features have benefited my organization include ease of access, being able to see what's functioning, what's not functioning, why it's not functioning, and when it stopped functioning, and to maintain visibility on day-to-day operations.
The feature of being able to pick the right models has been the most beneficial for enhancing our customer service because some AI models are more expensive but slower, while others are faster and cheaper, allowing us to pick the right model for the right task that we are trying to solve.
The feature that has been the most beneficial for enhancing customer experience is the one that allows you to compare multiple models to one another and see how they perform against each other.
The tool has a noticeable ROI, and the investment is worth every penny as it reduces tedious tasks and improves scalability.
Our use of automation sped up the process of getting paid from insurance companies, saving us substantial amounts of money.
Whenever they release a product, they also release a course in UiPath Academy. So, you can get familiarized with the product and understand the new capabilities.

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 249 |
| Midsize Enterprise | 143 |
| Large Enterprise | 667 |
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?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.
UiPath Platform is appreciated for its user-friendly interface and extensive automation capabilities, offering seamless integration with diverse applications. Its intuitive drag-and-drop functionality enables users to design efficient workflows with minimal technical expertise.
UiPath Platform delivers a robust set of features that enhance automation and productivity. With components like Orchestrator, task management is optimized, facilitating better scalability. Users benefit from advanced AI and document understanding tools, boosting data handling accuracy and reducing errors. Despite its strengths, UiPath faces challenges with upgrading processes, AI enhancements, and user documentation. Integration and selector sensitivity issues, along with support and licensing complexities, highlight areas for potential improvement. Users request smoother deployment, error handling, and migration processes. Enhanced support for RHEL/Ubuntu, LINQ, and Lambda and improved real-time insights, automation recording, and scheduling are desired. Streamlining the experience for non-technical users with simplified workflows remains a priority.
What are the key features of UiPath Platform?
What benefits should users look for in reviews?
UiPath Platform is widely implemented across sectors such as finance, healthcare, insurance, HR, IT, and supply chain to automate repetitive business tasks. Common uses include automating data entry, invoice processing, document management, report generation, and customer service operations. Organizations value the platform's ability to integrate seamlessly with systems like SAP, CRM, and Oracle, allowing for enhanced efficiency and accuracy in processing both structured and unstructured data.
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