Glean Platform vs Microsoft Foundry comparison

Glean and Microsoft are both solutions in the AI Agent Builders category. Glean is ranked #4 with an average rating of 8.5, while Microsoft is ranked #3 with an average rating of 8.0. Additionally, 100% of Glean users are willing to recommend the solution, compared to 100% of Microsoft users who would recommend it.

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Executive SummaryUpdated on Jul 23, 2026

Glean Platform and Azure AI Foundry compete in the AI and enterprise integration space. Glean Platform appears to have an upper hand due to its extensive integration capabilities and user-friendly workflows enhancing productivity.

Features: Glean Platform offers enterprise search, integration across systems such as Confluence and Jira, and custom agents to enhance productivity by automating tasks. Its user-centric workflows and various connectors ensure seamless data integration. Azure AI Foundry, on the other hand, provides a playground for model testing, an observability feature for agent workflows, and a centralized management console, making it suitable for diverse AI deployments.

Room for Improvement: Users want Glean Platform to simplify integration processes and offer better guidance for agent creation via wizards. A more straightforward workflow interface is also suggested. Azure AI Foundry could improve by offering clearer documentation, improved observability tools, streamlined Microsoft product integrations, and unified AI services for enhanced user experience and governance.

Ease of Deployment and Customer Service: Glean Platform supports deployments across public, private, hybrid cloud, and on-premises environments, providing implementation flexibility. It is known for highly rated customer support. Azure AI Foundry focuses on public and hybrid cloud deployments, with customer service having room for improvement, particularly in pricing and usage clarity.

Pricing and ROI: Glean Platform users report affordable pricing and significant ROI due to time-saving and productivity improvements, though licensing options are limited. Azure AI Foundry has higher costs, but its capabilities streamline tasks that would otherwise require more personnel. Users seek better transparency and predictability in pricing, influenced by factors such as OpenAI model pricing.

To learn more, read our detailed Glean Platform vs. Microsoft Foundry Report (Updated: June 2026).

Buyer's Guide

Glean Platform vs. Microsoft Foundry

June 2026

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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

Automation Anywhere

Featured Reviews

Venkat Sivaprakash

Management Consultant at Accenture

Has significantly improved document-driven workflows and reduced processing time across finance and HR functions

Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.

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Ananya Bl

Data Analyst at Capgemini

Daily orchestration of complex ai workflows has boosted my research and automation capabilities

Orchestration primarily decides which agent handles which part of a task and manages errors, retries, and complete state while maintaining the workflow effectively. On the orchestration side, branching, looping, and human approvals support non-linear workflows in production environments with real-time access. Through refined and improved prompts, this helps in closing the loop with actual users. One unique feature that stood out is that every step in the workflow can pause or recover from failures. Instead of finishing the entire agent in one go, this approach is interesting because if there is a minor change in a previously completed step regarding the state, I can re-edit and restart from the beginning. This is truly impressive.

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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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Quotes from Members

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

Pros

"Our clients are always happy with the product and its performance."

"The deployment of Automation Anywhere went smoothly. They were very supportive with the migration of all of our existing automations and also being there and supportive with the development of the new automations."

"We have been able to reduce the amount of repetitive tasks completed by operations, allowing individuals to move onto tasks which cannot yet be automated."

"The features of the Automation Anywhere bot bring us the ability to develop automations to production quickly."

"Because while the platform is feature-rich and easy to use, it is the skill of the coder that determines how well the platform is leveraged."

"It is easy to use and very scalable."

"You do not need to have IT skills. I come from a finance background, so I can attest to the fact that you do not need IT skills to use Automation Anywhere to leverage it on your teams."

"The ability for it to be able to be scaled rapidly. For us, it has certainly provided a range of flexibility that we hadn't appreciated before we started. This means that in times of high demand for processes to be completed, we're able to quickly scale up on demand. That gives us that additional flexibility without the need to potentially consider contingent labor increases. So, it's sort of a head count avoidance increase. So, that's proved very useful for us."

More Automation Anywhere pros

"The best features Glean Platform offers include the ability to create my own agents, for example, I created a self-service agent for my stakeholders, so rather than email me, I sent them a link to an agent where the agent asks them questions and drills down to exactly what they need, and then I get a qualified response from them."

"Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers."

"The major impact that I have noticed is how business users are now being impacted and they are using the platform because they understand it easily."

"The best features Glean Platform offers are mostly the view, which I think is very good, and what I find most helpful about the view is that the user interface is very good, making it very easy to chat with the chatbot and get all the material that I want in the way that I need it."

"Glean Platform has increased productivity by at least one hundred hours per week for my organization."

"Since I have joined, I have built around ninety agents with Glean Platform, and it has saved our organization around twenty-seven hours a week for each user, and it has also positively impacted our ARR."

"Life became so easy when we started using Glean Platform."

"When I searched for internal information spread across different systems, Glean Platform did centralize and retrieve that data for me effectively, giving me eighty percent accuracy."

More Glean Platform pros

"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."

"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."

"Azure AI Foundry has affected our management of privacy, performance, and compliance primarily based on our location in the UK, where it is more focused on the region in terms of where that data is being processed and who has access to it, which is hopefully no one other than us."

"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."

"Azure AI Foundry has helped me reduce the time taken for AI app and agent development significantly because it takes over a lot of the infrastructure work of connecting to these models."

"Azure AI Foundry is flexible and helped me reduce the time taken for AI app and agent development through the integrity and integration of various applications that we are able to achieve."

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

"What I appreciate most about Azure AI Foundry is that for a single agent flow, the platform provides the ability to build agents quickly, which demonstrates the ease of use for a single agent workflow."

More Microsoft Foundry pros

Cons

"We are still looking into some of its current capabilities, like IT Bot."

"They have done a fairly good job on the RPA space, but more and more, the whole cognitive AI space and machine learning are where I see the industry actually going. I'm sure Automation Anywhere is also focused on that topic, but we would like to see more coming down the pipe, as early as possible."

"Pricing is too high for small-scale groups. The Control Room yearly fee is high, making it difficult to break even."

"One aspect I wish to mention regarding needed improvements is that Automation Anywhere currently works only on Windows systems."

"Automation Anywhere could improve by incorporating better integration with DevOps."

"The overall product in Automation Anywhere is good, but they need to improve a little bit on the overall architecture side."

"Configuring A2019 and using it is getting a little difficult because of frequent errors of compatibility. It is not so user friendly like the enterprise desktop version."

"The IQ Bot is pretty immature, in regards to AI and machine learning. I would like them to add additional logic."

More Automation Anywhere cons

"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."

"There are multiple ways in which Glean Platform can be improved."

"I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead."

"In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or something which can configure whether AI should be used in this specific search field or not, or in this specific node or not, because currently it's using AI in all nodes which sometimes messes up the output."

"Sometimes Glean Platform gets slowed down."

"Glean Platform can implement more models. The NLP creation could be a little faster, and while debugging is amazing, the routing also needs to provide higher quality outputs sometimes rather than extensive searching."

"My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available."

"Also, the latency that the platform offers is a little high right now; what I have noticed is that on a particular query, the user has to wait a long time in order to get responses."

More Glean Platform cons

"For Azure AI Foundry, there is no actual clear pricing structure, which can be confusing for customers to understand, as every feature that you activate has its own price, and it is not very clear sometimes to define the pricing."

"One of the big things Azure AI Foundry could improve is continuously evolving the governance elements and how, while I know they exist, the more control we can have over different elements and observation of what different agents are doing, the better."

"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."

"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."

"My experience with Azure AI Foundry's pricing, setup cost, and licensing was a mess."

"My biggest critique is some of the fragmentation of their different AI services they have, including AI Open, OpenAI, Azure OpenAI, and Azure Foundry. They feel very disjointed sometimes, so having a unified single experience for all of that would be ideal."

"There is always scope for improvement regarding Azure AI Foundry, but I am still in exploring mode."

"I would improve Azure AI Foundry by adding more functions within Foundry itself, as right now it is quite basic in what it does."

More Microsoft Foundry cons

Pricing and Cost Advice

"It has good licensing costs which are average for the market."

"In most of the cases, the product value is very good. If the infrastructure, implementation, and framework are good, then generally, the client can get a good return on investment."

"Its cost is good."

"I think the solution's pricing is reasonable."

"Price is where I'm least satisfied. Other vendors are more willing to offer discounts."

"Whatever investment, licensing, and resource costs together are put in for development and delivery, we are still at an ROI of 250 percent."

"When I started working on it, it was difficult to obtain a trial version (barrier to entry). Now, they have a Community Edition, which may make it easy to get started."

"It is one of the most affordable RPA solutions, and as for licensing, they offer a community edition that greatly helps anyone who aspires to learn about the product before buying the enterprise solution."

More Automation Anywhere pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

12%

Construction Company

10%

Outsourcing Company

Financial Services Firm

18%

Manufacturing Company

13%

Outsourcing Company

10%

Comms Service Provider

Outsourcing Company

14%

Financial Services Firm

12%

Manufacturing Company

11%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	159
Midsize Enterprise	81
Large Enterprise	554

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	14

Questions from the Community

How good is Automation Anywhere for RPA processes?

It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...

See all answers

How good is Automation Anywhere for RPA processes?

From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...

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How good is Automation Anywhere for RPA processes?

It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.

See all answers

What is your experience regarding pricing and costs for Glean Platform?

My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there wa...

See all answers

What needs improvement with Glean Platform?

In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or somethi...

See all answers

What is your primary use case for Glean Platform?

I use Glean Platform as an enterprise search tool and I am a power user of agents, so I mostly use this on a day-to-d...

See all answers

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 comp...

See all answers

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 ...

See all answers

Comparisons

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Compared 12% of the time

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Compared 10% of the time

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Compared 6% of the time

WorkFusion vs Automation Anywhere

Compared 2% of the time

Celonis vs Automation Anywhere

Compared 2% of the time

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Compared 15% of the time

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Compared 9% of the time

n8n vs Glean Platform

Compared 8% of the time

Microsoft Copilot Studio vs Glean Platform

Compared 8% of the time

Breaking IT OpenClaw vs Glean Platform

Compared 8% of the time

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Gemini Enterprise Agent Platform vs Microsoft Foundry

Compared 26% of the time

Azure OpenAI vs Microsoft Foundry

Compared 16% of the time

n8n vs Microsoft Foundry

Compared 16% of the time

Amazon SageMaker vs Microsoft Foundry

Compared 6% of the time

Temenos Quantum vs Microsoft Foundry

Compared 5% of the time

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Product Reports

Buyer's Guide

Automation Anywhere

July 2026

Download Automation Anywhere product report

Buyer's Guide

Glean Platform

July 2026

Download Glean Platform product report

Buyer's Guide

Microsoft Foundry

July 2026

Download Microsoft Foundry product report

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)

Glean Work AI Platform

No data available

Interactive Demo

Automation Anywhere

Demo not available

Glean

Demo not available

Microsoft

Overview

Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.

Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.

What are the important features of Automation Anywhere?

Ease of Use: Simplifies automation tasks with a user-centric interface.
Robust Connectivity: Provides seamless integration with multiple systems.
GenAI-Driven Document Automation: Leverages AI to automate document management.
Process Automation & Co-Pilot: Enhances workflow automation with advanced AI.
Cloud-Native Platform: Enables rapid deployment and integration.

What benefits should be evaluated in reviews?

Time Savings: Automation drastically reduces manual processing time.
Cost Efficiency: Decreases overall operational costs by automating tasks.
Productivity Enhancement: Streamlines workflows with AI-driven tools.
Improved Integration: Enhances ability to work with multiple systems.
Scalability: Supports growth with a flexible cloud-native architecture.

In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.

Automation Anywhere

Glean Platform harnesses cutting-edge technology to empower organizations, bridging data access gaps and enhancing productivity through its advanced search and knowledge capabilities.

Glean Platform transforms how organizations operate by integrating powerful search functions with intelligent knowledge management tools. It empowers users to locate and utilize information efficiently, fostering a more connected work environment. Its dynamic capabilities provide seamless integration, enabling users to access critical data swiftly, thus driving informed decision-making processes within teams. Designed for scalability, Glean Platform adapts to varying enterprise needs, ensuring customized solutions that align with business objectives.

What features does Glean Platform offer?

Intelligent Search: Delivers precise search results tailored to user queries.
Knowledge Graph: Visualizes connections between data for better insights.
Seamless Integration: Works with a wide range of existing tools and applications.
Security Controls: Protects data with robust security features.

What are user benefits and ROI?

Increased Productivity: Reduces time spent searching for information.
Enhanced Collaboration: Facilitates knowledge sharing across teams.
Scalability: Grows with the organization’s evolving needs.
Improved Decision-Making: Provides access to real-time information.

In industries like finance and healthcare, Glean Platform aids in streamlining operations by offering tailored data solutions that adhere to specific compliance standards. By facilitating efficient information retrieval, it supports critical tasks such as data analysis and regulatory reporting.

Glean

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

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics

Information Not Available

Buyer's Guide

Glean Platform vs. Microsoft Foundry

June 2026

Free Report: Glean Platform vs. Microsoft Foundry

Find out what your peers are saying about Glean Platform vs. Microsoft Foundry and other solutions. Updated: June 2026.

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