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: October 2026).

Buyer's Guide

IT Asset Management

October 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

"We work on SAP as well as many other internal platforms, and this solution can very easily be moved between them."

"Scalability is good. There is no question about its scalability."

"We are trying to do about 100 automated processes this year, and I have confidence that the solution is able to cater our needs."

"ROI is good and impressive after using automation anywhere RPA platform."

"Document Automation is something we are using and have used in the past; it is excellent."

"Its ease of deployment is the most valuable feature. We have found with many customers that it's quite easy to deploy."

"We have a lot of clients who use AA bots in their own process. Automated that are automated require less human input. AA bots save lots of time, increase efficiency, deliver accurate output, and provide consistency which improves the overall function of processes in different domains."

"We have increased our productivity internally by using RPA with our employees who are completing the same tasks every day."

More Automation Anywhere pros

"It is stable and scalable."

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

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

"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."

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

"The preloaded rules and ways to monitor your systems are a must."

"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 data lake is a very powerful feature within OpenText Operations Bridge."

"The most valuable feature is its ability to integrate with everything."

"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."

"My customers are happy and satisfied with the monitoring capabilities that give them a more precise picture of company performance."

"OpenText AI Operations Management has an agent system where you can directly add plugins and collect metrics and logs, and it is really difficult to collect these kinds of things such as metric data with other systems, but it is easier with this platform."

More OpenText AI Operations Management pros

Cons

"The first version would double our cost."

"The installation piece was sort of complicated because we are new to the business. We are new to installing Automation Anywhere services and the services that they are providing. So, we are sort of expected some kind of installation engineer to come onto our premises and provide the support, rather than remotely."

"AI would enable improved automation and faster training times that would be reduced from one month to one week."

"They are already working on this: The boom of generative AI, the next-gen technologies, including advanced AI and ML technologies, are in the roadmap. I would like to see more and more AI integration and a bit more analytics. That would be great."

"In the next release, once the bot is triggered, the system should always recognize the active state and not prompt the user to log in again before the bot finishes all of its tasks."

"I would like to see a bot button."

"The debugging tools need to be included, for where and why it has failed to execute the bot in a clear manner."

"The capability of understanding and extracting documents is not very good."

More Automation Anywhere cons

"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 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 event correlation is not there and it is a complex tool."

"The latest versions of the service reporting dashboards need improvement, such as service modeling."

"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."

"The setup process can get a little bit complex."

"Our issues are largely support related due to where we are and the knowledge base that we have here. This issue relates both HPE in general and to the technical products."

"I would evaluate them as weak, unfortunately. They're barely bearable in the quality of the guys that support us."

"The solution is overall "heavy", requiring multiple servers, even without HA."

"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

"The licensing needs to be made simpler or shortened."

"The setup cost depends on multiple factors, so you need to get details before choosing."

"Our licensing costs are setup on an annual basis."

"Licensing costs range from $50,000 to $200,000."

"Our annual licensing costs are about $500,000."

"AA comes at a more affordable price than the other tools."

"If you are looking into Automation Anywhere, get the Community Edition and play with it."

"It's fine. However, I'm concerned with the credits in terms of the pricing for the AI models. It is understandable that the new ones are more expensive, but the base models, after doing the pricing conversion, cost about four to ten times as much as paying directly."

More Automation Anywhere pricing and cost advice

"From my experience, Asset Manager is expensive."

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

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

"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."

"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."

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

"The cost is very high."

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Top Industries

By visitors reading reviews

Outsourcing Company

14%

Comms Service Provider

12%

Financial Services Firm

11%

Manufacturing Company

11%

No data available

Financial Services Firm

15%

Outsourcing Company

14%

Construction Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	162
Midsize Enterprise	86
Large Enterprise	563

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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Ask a question

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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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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

October 2026

Download Micro Focus Asset Manager [EOL] product report

Buyer's Guide

OpenText AI Operations Management

October 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: October 2026.

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