Micro Focus Asset Manager [EOL] vs OpenText AI Operations Management comparison

The compared Micro Focus Asset Manager [EOL] and OpenText AI Operations Management solutions aren't in the same category. OpenText AI Operations Management is ranked #5 in EM , with an average rating of 8.0, and holds a 8.2% mindshare. Additionally, 75% of Micro Focus Asset Manager [EOL] users are willing to recommend the solution, compared to 92% of OpenText AI Operations Management users who would recommend it.

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Executive Summary

We performed a comparison between Micro Focus Asset Manager [EOL] and OpenText AI Operations Management based on real PeerSpot user reviews.

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Buyer's Guide

IT Asset Management

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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reviewer1700715

Software Asset Manager Lead at Boeing at a transportation company with 10,001+ employees

A stable and clever solution, but it is very complex and it needs a lot of improvements

There are a lot of things that need improvement. Software recognition, software licensing, software compliance, data inputs, reporting, and support are some of the areas. It needs a discovery tool of its own. You have to get that from other Micro Focus products, which means you have to pay more to get those products.

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reviewer2060121

Product Line Manager at a tech consulting company with 11-50 employees

Unified monitoring has improved event handling but needs stronger AI automation and modern dashboards

OpenText AI Operations Management could benefit from a fully integrated AI system, which we call AIOps. A fully integrated AI operations system would be valuable in the future. Additionally, the UI experience could be more comfortable. We are not using predictive features in OpenText AI Operations Management such as anomaly detection. In the future, we may be able to operate with our customer, but we need to decide this collectively. You need to see the big picture and understand what the customer's pain points are to find the right tuning. Normally, predictive features can be more useful, but this is an end-to-end solution that needs to be customized. You need to understand the exact customer needs. The predictive analytics feature is very close to being integrated, but it is not fully integrated at this time.

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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

"Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation, with modern features to train documents ensuring high accuracy and repeatability over time."

"It is easy to use and very scalable."

"It is an easy product. It is easier and less complex than any other RPA tool in the market. It is a popular product."

"The graphical user interface (GUI) is very useful, since I don't know any coding languages."

"We have benefitted a lot now, but expect that we will benefit even more in the future as we get better at using intelligence."

"I'm impressed with the scalability. We are able to do changes. We are able to scale from different environments now with the Control Room in version 10 and 11. The scalability is pretty good. It is up to the mark of the other market competitors."

"Automation Anywhere provides the best feature to make a software bot for processes."

"Automation Anywhere is frequently releasing new features to their product. I find this amazing as they provide frequent product updates, introducing new features to the frameworks and similar aspects."

More Automation Anywhere pros

"We are constantly using this product and we are constantly improving this product."

"The most important features are the flexibility of the product and the way that we can use it to ensure software compliance within our organization."

"This product can be customized according to the needs of any company."

"It is stable and scalable."

"Actually we have now automatic and immediate control of assets usage, and we can now better manage our assets pool and get benefits through that."

"We now have a consolidated dashboard that shows availability and performance across key business services, enabling cost optimization, scalability, and efficiencies as we transform multiple monitoring teams into one working off a single console with all the data in one place."

"This solution worked as an umbrella for many different types of monitoring systems, offering various tools for not only application performance management models but also user experience models and monitoring business processes."

"The event correlation is the most valuable aspect of the solution."

"It is stable."

"After I think ten years of using OML, we finally had some nice dashboards, which enabled us to get more insight and produce reports."

"The implementation of Operation Manager made it possible to centralize the events of several supervision tools such as SiteScope, Network Node Manager or Nagios, and all the enrichment part allowed to reduce the processing time of support tickets because all the information was already present in the alarm."

"Once it is in there, it's extremely robust."

"The integration with the ticketing tool makes sure that there is a record for every issue."

More OpenText AI Operations Management pros

Cons

"When we are moving from one version to another version, it's very difficult because most of the features stop working. They should first test everything and then release the new version. For example, there's a system variable known as the Excel Cell Row.... When going from version 11.1 to 11.3, this variable was suddenly not supported, and most of our bots were dependent on that. Everything went down..."

"The bot insides should come in the same package versus having it as a different bundle by itself. If we could have this product come with all the inside solutions altogether, that would help."

"I would like to have a command that allows me to add code, like C#. As a developer, this would be helpful."

"We need a native way in Automation Anywhere's framework to tie all that information together, including AI dashboard, governance dashboards, and document automation results."

"It would be useful to have some updates for the control room in terms of analytics."

"Understanding what we wanted to do the tool after setup, that was complex."

"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."

"The solution could improve the integration with some web applications. It was difficult to manage them."

More Automation Anywhere cons

"The technology used is outdated, the interface is outdated, the database is outdated, everything is outdated."

"There are a lot of things that need improvement. Software recognition, software licensing, software compliance, data inputs, reporting, and support are some of the areas."

"The usability of this product is still out-of-date and could be improved. The interface could be improved."

"Technical support is very frustrating because we have probably 12 or 15 years’ experience with the products."

"The product might currently have a lot of new features, however, I don't have information about these new features, so it's possible it may require updates in that area."

"Currently the BVD, it's not living. We would like to see more sensors in the dashboard."

"Installing and upgrading the HPOM and Operations Agent software is not always easy and the process can be quite fragile. Once it is running, it is very quick and stable, but an upgrade can quite easily break something or terminate unexpectedly."

"Implementation could be improved. We also need training and a good partner in order to install and configure it."

"The pricing could be improved."

"What needs improvement in Micro Focus Operations Bridge is its resource heaviness because you need many resources to deploy and support it. It's a good solution for larger organizations, but for small businesses, not so much."

"There is need to have more out-of-the-box support for HPE products itself."

"We are waiting for quicker release cycles. Also containerized upgrade, so that you don't have to bring a system entirely down to make a minor upgrade, in fact, or a minor patch."

More OpenText AI Operations Management cons

Pricing and Cost Advice

"The pricing is reasonable and one can achieve ROI faster when compared to other tools."

"The setup cost for this is onetime and licensing is based on your choice of product."

"Our pricing a year ago was $600 per license."

"It saves on the quality of work, because the quality can be bad when somebody's doing it. If a bot does the work, it's faster and comes with good quality. These are two important things along with the cost saving in the long run. That's where the value is."

"It is subscription-based. They have different schemes. The price depends on how you negotiate with the local partner or local representative in your country."

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

"We would like them to change the license model of charging per bot."

"The pricing for Automation Anywhere is reasonable."

More Automation Anywhere pricing and cost advice

"From my experience, Asset Manager is expensive."

"The cost is very high."

"Pricing is very flexible and depends on the modules selected as per the requirement."

"As OpsBridge is a suite of products bundled together, you may find yourself paying for software functionality that you don't actually use, e.g. Real User Monitor (RUM)."

"It is competitive."

"The licensing cost for this solution is approximately $1,000 USD."

"The licensing model for Micro Focus Operations Bridge is unit-based so it can be one device or ten devices depending on your situation or model. Cost-wise, it's much more if you have more devices and features such as infrastructure monitoring, analytic dashboard, and business dashboard in your model."

"Setup costs can be high depending on the partner, but it is worth it."

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904,928 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

12%

Construction Company

11%

Outsourcing Company

No data available

Financial Services Firm

18%

Construction Company

10%

Outsourcing Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	159
Midsize Enterprise	81
Large Enterprise	553

No data available

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	35

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...

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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.

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What is your experience regarding pricing and costs for Micro Focus Operations Bridge?

From a cost perspective, OpenText Operations Bridge is cost-effective as it saves us man hours. What used to be done ...

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What needs improvement with Micro Focus Operations Bridge?

OpenText AI Operations Management could benefit from a fully integrated AI system, which we call AIOps. A fully integ...

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What is your primary use case for Micro Focus Operations Bridge?

I am not looking for a monitoring solution, but I am a product manager comparing some products based on research I co...

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Compared 7% of the time

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More OpenText AI Operations Management Competitors

Product Reports

Buyer's Guide

Automation Anywhere

July 2026

Download Automation Anywhere product report

Buyer's Guide

IT Asset Management

June 2026

Download Micro Focus Asset Manager [EOL] product report

Buyer's Guide

OpenText AI Operations Management

July 2026

OpenText AI Operations Management report

Download OpenText AI Operations Management product report

Also Known As

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

Asset Manager, HPE Asset Manager

Micro Focus Operations Bridge, Operations Bridge Manager, Micro Focus Operations Analytics

Interactive Demo

Automation Anywhere

Demo not available

OpenText

Demo not available

OpenText

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

HPE Asset Manager automates best practices across the asset management lifecycle and integrates processes into IT Infrastructure Library (ITIL) service support workflows including incident, problem, and change management to improve service quality and business outcomes.

OpenText

OpenText AI Operations Management centralizes event correlation and monitoring across infrastructures, prioritizing scalability and automation for efficient alert management. It empowers organizations with transparency and insights essential for effective IT resource management in hybrid cloud environments.

OpenText AI Operations Management offers comprehensive solutions for event correlation, integration, and centralized alert management. With capabilities that streamline operations, this tool supports efficient IT management across AWS, GCP, and on-premises environments. Despite requiring improvements in performance and usability, its robust reporting and seamless monitoring provide valuable insights for root cause analysis. Users leverage this platform to integrate event data, automate incidents, and manage hybrid infrastructures effectively, making it a key component in enhancing service perspectives globally. Its heavy architecture and reliance on Java and Flash, coupled with complex licensing and pricing, necessitate attention to functionality and support areas.

What are the key features of OpenText AI Operations Management?

Event Correlation: Integrates and correlates event data for improved incident response.
Centralized Alerts: Raises alerts efficiently to streamline IT operations.
Comprehensive Dashboard: Consolidates information for better visibility.
Hybrid Cloud Support: Manages AWS, GCP, and on-premises environments.
Automation: Enhances operations with server automation and performance management.

What benefits do users find with OpenText AI Operations Management?

Operational Efficiency: Streamlines IT processes for quicker issue resolution.
Transparency: Offers robust reporting and data centralization for clarity.
Resource Management: Improves management of IT resources and service perspectives.
Scalability: Accommodates growth with flexible architecture.
Noise Reduction: Decreases event noise to enhance response efficiency.

OpenText AI Operations Management is widely implemented in industries requiring comprehensive monitoring capabilities. Organizations benefit from its ability to consolidate tools and manage events effectively across hybrid environments. The integration of incident automation and performance evaluation tools is particularly beneficial for those looking to enhance compliance support and reduce response times. Despite some challenges, the platform remains a valuable asset in managing complex IT environments and improving operational effectiveness.

OpenText

Sample Customers

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

Finansbank, MTS India, Sprint

GE Money Bank, Bank AlJazira, Tech Mahindra

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