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

Why PeerSpot?

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 #2 in EM , with an average rating of 8.0, and holds a 8.4% 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.

Find out what your peers are saying about ServiceNow, Lansweeper, Qualys and others in IT Asset Management.

To learn more, read our detailed IT Asset Management Report (Updated: September 2026).

Buyer's Guide

IT Asset Management

September 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

"Its ease of use is the most valuable feature. It is easy to train developers and find the right people, then use them to build the tool."

"This RPA software has good scalability and stability, is easy to understand and easy to use, even for users who have no experience with automation software."

"It has been really useful for traditional RPA, which remains our forte."

"Training videos are very good and include detailed examples, which is really helpful for beginners."

"MetaBot is the most valuable feature. Other products have robotic functionality but MetaBot is a kind of functionality by which code is created... so business users who do not have coding knowledge can drag and drop."

"The IQ Bot is very impressive to us, as we have tried several tools in the industry and we have not been able to automate to the same level as provided by this solution."

"The flexibility: If there is anything the tool cannot do, we have the ability to make a MetaBot to achieve that functionality. The overall flexibility of the tool makes it very useful for us in our landscape."

"We have increased our productivity by five times as of now, and we are still growing."

More Automation Anywhere pros

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

"It is stable and scalable."

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

"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."

"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."

"I find the Micro Focus Operations Bridge dashboard valuable, including its instrument analysis and anomaly control features that help indicate root causes and problems with your infrastructure."

"We have gone from 100 to 700 servers without any hiccups; it is a very scalable product."

"It has greatly reduced the number and duration of outages as support teams are notified immediately when something goes wrong or even before something breaks."

"We have a bunch of critical servers and applications, and we are able to monitor using this product to create a dashboard and have automatic alerts to notify the responsible team."

"It's very scalable and it does seem capable of accepting the volume."

"The ability to integrate directly with the RIPM on top of DSM, using the event feed into OMI, the metrics feed, and features like SHA offers opportunities for faster root cause analysis."

"The ability to automate a lot of the repetitive tasks so that many human tasks are taken over by Bots is the most valuable feature in HPE Operations Bridge, especially because in today's world we are under constant pressure to reduce IT resources and the more we can automate, the better it is."

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

More OpenText AI Operations Management pros

Cons

"The technical support is critical for this product, but we have found them a challenge to work with."

"Off the top of my head, I cannot think of anything that they would need to improve on, but there are probably opportunities to explore some potential use cases where maybe there is a feature that is not yet available. We can discover and pioneer something together."

"I would like to see GitHub or GitLab integration in the next version."

"Although the UI and elements are user-friendly, it is still difficult for business users without experience to understand how to use Automation Anywhere."

"We have used the technical support. I am quite unhappy with the support part."

"I would like more cognitive abilities, artificial intelligence, and machine learning. E.g., if I see you, your facial recognition has to be there. If I send your picture, it should tell me your name, where you are from, and when I met you because we forget people. It should have these type of capabilities."

"There is still a way to go for Automation Anywhere where we can see improvement. Mostly, we want to see more artificial intelligence and machine learning. Now, I can see only this mostly in the IQ Bot where we construct the data from PDFs. I also want to see more features where we can use the artificial intelligence in automating tasks as well."

"I would like to have the ability to work on a remote desktop connection, run the recording on it and use all commands."

More Automation Anywhere cons

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

"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."

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

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

"Level 1 technical support is incompetent. I'm almost afraid to open tickets because I know I'll be asked the same thing 8 times."

"The deployment of agents on new CI should be improved. There should be some kind of automation to directly deploy them from the console. It can maybe have some more AI functions because most of the other tools are going in that direction."

"It is a very complicated product. It's difficult to manage. Nowadays, products are very easy to manage, deploy, and integrate, but Operations Bridge is very complicated to manage."

"There are a lot of locked files, about a thousand. You cannot always find the correct information to solve an issue."

"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."

"I think it could be improved with regard to response time, and getting the proper resources."

"Topology-based event correlation does not work well with NNM events."

"The creation process is not as easy as expected, requiring multiple steps and can be quite complex."

More OpenText AI Operations Management cons

Pricing and Cost Advice

"Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running. The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. It has to be completely dedicated. Then there are the network bandwidth requirements and space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too."

"We paid separately for the Runner and Creater components. The final cost depends on the structure of your environment."

"I don't deal have cost specifics but I can say it is a tool that provides value for the money."

"If you look at the capital expenditure, Automation Anywhere is number two to UiPath. But if you take a long-term view, on a scalable model of a large number of bots coming out, it slowly goes on to become the costliest tool. There is something they can do about that. The capital expenditure goes out right at the point of buying the tool. For Automation Anywhere, I would need to spend $20,000. UiPath can give me something for $6,000, while Blue Prism will come in at $300,000."

"Cost is the biggest area in need of improvement for Automation Anywhere. Annually it's $250,000. That's what deterred us right away."

"We're just starting to renew our license, and we were quoted $115,000 without the IQ Bot. The IQ Bot is another $30,000. This is with very limited pages, as we go through our first projects. The majority of the cost was for ten days of onsite training."

"They're very flexible around pricing and licensing."

"It's justified because we have saved quite a bit of money at the company and many manual hours. Overall, it justifies the cost."

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."

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

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

"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)."

"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."

"It is competitive."

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916,240 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Outsourcing Company

15%

Financial Services Firm

12%

Comms Service Provider

11%

Manufacturing Company

11%

No data available

Financial Services Firm

15%

Outsourcing Company

15%

Construction Company

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	161
Midsize Enterprise	86
Large Enterprise	561

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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Comparisons

UiPath Platform vs Automation Anywhere

Compared 11% of the time

Blue Prism vs Automation Anywhere

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Microsoft Power Automate vs Automation Anywhere

Compared 5% of the time

AutomationEdge vs Automation Anywhere

Compared 3% of the time

Appian vs Automation Anywhere

Compared 2% of the time

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ServiceNow vs Micro Focus Asset Manager [EOL]

Compared 20% of the time

Symantec Asset Management Suite vs Micro Focus Asset Manager [EOL]

Compared 18% of the time

CA Asset Portfolio Management vs Micro Focus Asset Manager [EOL]

Compared 16% of the time

Freshservice vs Micro Focus Asset Manager [EOL]

Compared 11% of the time

BMC Helix Discovery vs Micro Focus Asset Manager [EOL]

Compared 11% of the time

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IBM Tivoli NetCool Impact vs OpenText AI Operations Management

Compared 7% of the time

IBM Tivoli NetCool OMNIbus vs OpenText AI Operations Management

Compared 6% of the time

BMC TrueSight vs OpenText AI Operations Management

Compared 6% of the time

ScienceLogic vs OpenText AI Operations Management

Compared 5% of the time

Evanios vs OpenText AI Operations Management

Compared 4% of the time

More OpenText AI Operations Management Competitors

Product Reports

Buyer's Guide

Automation Anywhere

October 2026

Download Automation Anywhere product report

Buyer's Guide

IT Asset Management

September 2026

Download Micro Focus Asset Manager [EOL] product report

Buyer's Guide

OpenText AI Operations Management

September 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

Find out what your peers are saying about ServiceNow, Lansweeper, Qualys and others in IT Asset Management. Updated: September 2026.

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