

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.
Using Appian is saving us five full-time employees, which is significant since we currently have only four team members.
They see return on investment in terms of cost savings, time savings, more efficient processes, and more efficient employees.
Appian is very efficient, allowing us to build a lot of applications within a financial year, making it cost-effective.
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.
I would give Appian's customer support 10 out of 10 due to their next-level support.
Their customer service is responsive, and the team is very prompt for support.
The technical support for Appian rates as 10 out of 10 because they have a great support team.
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.
On a scale of one to 10, Appian rates as a nine for scalability.
Our volume has increased by 20% in the two years since using Appian, and it can handle the increased volume effectively.
Initially, without much coding, I can easily handle five thousand records.
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.
We have tested Appian during peak usage and off-peak times, and we have not experienced any issues such as lagging or system disruptions.
It depends on how it has been designed and how it has been configured.
The stability of Appian would rate as nine, as it's a stable environment.
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.
It has room to improve for use cases where the users are public facing, where anonymous users could come to a site and run a business workflow or interact with some data.
Appian can be improved by adding a geo-location tagging feature, which would be really helpful for identifying remitter addresses.
If there is a very complex process that includes a lot of data transitioning and memory-centric processes, it consumes a lot of memory.
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.
Appian provides value for money, is easy to use, has a straightforward setup procedure, and offers great support from the Appian team.
On the pricier side, both Appian and Pega are enterprise-level solutions, placing them on the slightly higher side.
The pricing of Appian is based on the number of users and generally ranges from 70 to 100 USD per user per month.
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.
The zero-code integration feature is remarkable, allowing for ease of data transfer and workflow enhancement.
Appian is aiding in leveraging AI technologies in multiple ways: one way is for developers, as they make development efficient and quick by enabling developer co-pilots across various phases of the application, which helps design Appian quickly and provides suggestions along the way.
After switching to Appian, it can extract data from MT103, eliminating the need for manual data entry.
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.


| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 9 |
| Large Enterprise | 42 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 13 |
Appian is a unified low-code platform and solution used by businesses to build enterprise applications and workflows. This product adapts to the needs of clients and the technologies they are already using to combine their data in a single workflow and maximize resources. The platform has four main components through which it transforms the work process for companies of various sizes. They are:
Appian is utilized across a diverse set of industries, including automotive and manufacturing, energy and utilities, education, financial services, telecom and media, transportation, retail, insurance, healthcare, and life sciences. The most frequent use cases of Appian are customer journey, governance, risk and compliance, operational efficiency, supply chain, distributed order management, and environmental, social, and governance (ESG) management.
Appian Features
Appian has various features that allow users to create solutions for their businesses. These features can be separated into a few groups according to function, including automation, low-code application development, and integrations and data. Some of the most frequently used features of Appian include:
Appian Benefits
The benefits of using Appian include:
Reviews from Real Users
A practice leader - digital process automation at a computer software company values Appian highly because the product is easy to develop, low-code, and has a good user interface.
Alan G., an advisory board member at Codecon VR, Appian offers a clear application life cycle, easy to learn documentation, and comes with a fundamentals course.
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.
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