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

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

"I like working with most of the commands in Automation Anywhere, such as object cloning commands. I like MetaBot for automating Citrix."

"It is easier to learn, implement, and get things done with Automation Anywhere compared to other tools on market right now."

"From a manageability perspective, this solution is very good."

"I have in fact told all my friends and colleagues who are in the RPA domain to work with Automation Anywhere because it's easier to run as well as to implement."

"We are using it for scripting, and it is end user based with screen captures. It is a bit easier to use than any of the other tools out there."

"I definitely find that it has helped increase productivity."

"In the finance department, this solution has saved us a lot of money."

"Automation Anywhere brings speed with accuracy; we are replacing a lot of manual work that our agents used to do, this has been automated now, and we get things done faster."

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."

"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."

"Compared to other products on the market today, I think it's the best in terms of architecture and capabilities."

"We switched for the added features, better scalability, overall experience, and better resolution to end of life issues."

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

"HPE helped us aggregate, and we now have all these layers in one layer, so we are looking at the service from the core of it, not from a resource perspective or from an IT, servers-based perspective."

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

"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 really the basis for everything we do for event management, for enterprise management."

"The most valuable feature is that everything can be consolidated into one dashboard."

More OpenText AI Operations Management pros

Cons

"The certification exam for AA is not as per the training videos, as the questions are more scenario-based, which makes it very hard for beginners to clear the exam after just tutorial knowledge."

"The inclusion of word packages would help us to extract data from Word and automate word-related activities easily."

"I feel the tool has to provide deeper insights for debugging issues, considering both internal and external factors."

"I feel the cost of licensing is very high for the A2019 version."

"From a QA and development perspective, we would like to communicate with the tech support through email and have that put in the dashboard. This would let us better track the ticket and make it easier for us to communicate with Automation Anywhere."

"Automation Anywhere's stability could improve. It isn't completely stable, but it's getting better daily."

"I would suggest adding more fields while calling in API. There is no option to generate Authentication token within the Bot."

"Document Automation has issues related to speed. When I compare Document Automation with IQ Bot, IQ Bot is faster than Document Automation."

More Automation Anywhere cons

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

"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."

"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."

"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."

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

"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 advancement of this solution seems to have stalled."

"The initial setup of this tool is complex for people who lack experience with it."

"We also need a better road map and a more affordable price."

"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."

More OpenText AI Operations Management cons

Pricing and Cost Advice

"The major reason that we selected Automation Anywhere was the licensing model."

"Including the AWS setup and everything per license, it costs us around $10,000 on an annual basis. I believe that is pretty reasonable considering the teams that we have."

"I don't agree with the IQ Bot licensing costs, which depends on the consumption of the document rather than per bot or user. This is confusing for me, because most of the cases for us in a possible future scenario, there would be a lot of invalid data to be scanned to get to real data. E.g., we would have to supply approximately 100 pages of scanned data to extract two pages of original data. In these type of cases, the IQ Bot might be a costly venture."

"We have seen ROI in terms of cost and time with a couple of our projects."

"Its price is competitive with all other products in the market."

"Our annual licensing costs for the entire company are $100,000."

"I believe it is $10,000 for Bot Creator."

"Automation Anywhere is reasonably priced because it can sustain us for a long period."

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."

"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."

"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."

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

"The cost is very high."

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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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Comparisons

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Compared 23% of the time

ServiceNow vs Micro Focus Asset Manager [EOL]

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Compared 7% of the time

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IBM Tivoli NetCool OMNIbus vs OpenText AI Operations Management

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Compared 5% of the time

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

June 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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