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Espressive Barista vs ManageEngine SupportCenter Plus comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 1, 2024

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
Sponsored
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
661
Ranking in other categories
Business Process Management (BPM) (2nd), Robotic Process Automation (RPA) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (2nd), AI Procurement & Supply Chain (1st)
Espressive Barista
Average Rating
8.8
Reviews Sentiment
7.2
Number of Reviews
9
Ranking in other categories
Help Desk Software (37th), AI-Powered Chatbots (9th), AI-Agents for HR (3rd)
ManageEngine SupportCenter ...
Average Rating
7.0
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Help Desk Software (27th)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
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.
Jim Lobao - PeerSpot reviewer
Senior Manager for End User Support Services at Five9
Has helped enhance our support ability, reduced our resolution time, and reduced our service desk costs
Espressive Barista's natural language processing and conventional AI still have room for improvement. We haven't yet found anything that resembles true AI that can learn autonomously without human intervention. However, Barista does help us identify and address some of these areas, allowing my team to step in and create intents and responses to questions. When a user asks a question that Barista doesn't immediately understand, we can recognize the pattern, capture it, and link it to a common intent. This is highly beneficial for acquiring such data, but it's a reactive approach and still requires curation. Natural language processing still has some way to go. One of our challenges is that our internal employees haven't yet adopted a natural way of interacting with Barista. Getting people to be concise and to the point, rather than being verbose as if they were interacting with a human, has been an ongoing challenge. While they may feel comfortable being conversational in Slack, expecting a human-like response, Barista is a different entity. Barista isn't interested in their recent vacation; it just wants to know they're locked out of their account. So, some users may assume Barista understands their intent when they say, "I'm back from vacation and locked out of my account." Barista, however, may interpret this as a request for the holiday schedule. Therefore, we're gradually educating our users to adapt their communication style for better success with Barista. Conversely, we desire Barista to adapt its behavior based on the interaction, the language used, and the way people communicate. I wholeheartedly desire an AI that can continuously learn and adapt to our organization's evolving needs. This is the most challenging aspect, as it involves understanding our organization's terminology, procedures, and toolsets. We've made significant progress in this area. However, from an NLP standpoint, we still face challenges with our nearly 3,000 Slack channel users, each with their unique communication styles. People ask questions in various ways, and sometimes there are misunderstandings. They want to interact with us naturally. However, we still struggle with natural language processing. People don't always realize that the bot is a virtual agent designed to be concise and efficient. Sometimes, less is more. It's been a difficult transition for people to grasp that they're conversing with a virtual agent, not a human. They still expect human-like interactions, such as discussing their weekend or holidays or simply pasting screenshots of errors. However, the bot can't interpret screenshots. If they provide the error code and some context about the application, the bot can better understand the issue. So, the key challenge is bridging the gap between human expectations and the bot's capabilities in terms of natural interaction.
reviewer2650164 - PeerSpot reviewer
VP of IT at a aerospace/defense firm with 51-200 employees
Manual ticketing features hinder workflow, but cost-effective ticket management is ensured
We just use it because it's more trouble to rip it out than to replace it with a more expensive tool. I would not recommend this product to others. If budget is a concern, it might be suitable but it doesn’t excite. Hence, I would rate it a four out of ten.

Quotes from Members

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

Pros

"For a tool that can be fun to use and make people's job better on day one, that is the most valuable feature."
"The recorder feature for front end automation and email packages is the most valuable feature as it has more features and it makes the email server related tasks easier and more independent on the email client."
"What really helps RPA to grow is the cognitive part of it. That's where the product is really good. Initially, it started out as RPA, but now there is a cognitive aspect to it. That's a key value to it."
"We have installed Automation Anywhere on AWS, Azure, and GCP, which works well."
"It automates forms for our customers and our analysts."
"From the customer's perspective, the biggest benefits are automation of the security and monitoring systems."
"Automate Anywhere can just mimic what a human does."
"Automation Anywhere has helped in automating business processes for simple to complex business cases and also helped in understanding, learning, and discovering new automation ideas."
"The solution is available to support us instantly as required."
"Its ability to recognize phrases has gotten smarter over time."
"Our department received about a 70% deflection rate, so that was really great."
"With respect to its natural language processing capabilities, it recognizes things that you wouldn't think it would recognize. Even in cases where it doesn't, it's pretty easy to go in and make the adjustments that are needed."
"I like Expressive Barista's integration with Microsoft Teams."
"This is one of the few tools that live up to the sales reps' hype when it comes to integrating with ServiceNow."
"Our developers have used the Barista Control Center to extend the platform by adding content, and they've found it fairly easy to do and manage"
"Given Barista's out-of-the-box content for common industry applications, the value is pretty good right from day one."
"Their tech support has been talking to us about expanding features like integrations with Microsoft Teams."
"Their technical support has been very helpful and is very good."
"When using it predominantly for a help desk solution, it seems like an absolutely fine product."
"The product is very scalable and stable when used as a help desk once it is built out."
"ManageEngine SupportCenter Plus works fine as a help desk software and is relatively inexpensive."
"We have found the reporting in this product to be very useful."
"The most valuable features are the ITIL compliance and billing."
"The product teams are continuously on the products trying to improve them. If, for example, I ask for a change to be done in the software, the chances are in the next release it's going to be done and incorporated. It's this personal touch that I like."
 

Cons

"These guys need to build a good team."
"Certain areas of the user interface require improvement."
"I want Automation Anywhere to work on IQ Bot further to help evolve the tool more and create a certain set of solutions using IQ Bot. They can maybe use better machine learning algorithms to come up with better accuracy for OCR extractions. This is an area that I want them to work on."
"Automation Anywhere has a lot of room for improvement. It is not customer-friendly."
"The Excel part needs improvement because we use it as a database. Right now, we are using UiPath for this feature, as that RPA tool allows us to sort, search, and filter in Excel databases."
"With the automation copilot, if I have any internal tool or application and I want to pass on variables, I don't have it. Maybe the team can work on it to make it more efficient to make it work better across all automations."
"The time taken to execute a Bot through A2019 can be reduced."
"Automation Anywhere needs to have more testing tools to improve the testing portion of the solution."
"The knowledge management could definitely be improved."
"I would like to see improvement to the out-of-the-box verbiage, with the questions going to the right place."
"There aren't very many things that this product needs improvement on."
"Although they've done some work on their metrics dashboard, there is some fine-tuning to do for people that just want to go in there at a glance and see their metrics."
"My only comment would be if they wanted to use this as an IT service management tool, maybe they could think about Barista making tickets and having change management and problem management capabilities."
"I would like to see the continued expansion of all of the automation capabilities."
"Espressive Barista's natural language processing and conventional AI still have room for improvement."
"What would make things easier is more detail, out of the box, about what is helping out of the box. We're struggling a little bit to get that data. We want more information about what Barista has brought in that the employees are using, out of the box. We want more visibility into the things that we ourselves haven't done the interaction for."
"The tech support is terrible and that seems to be a part of their business plan."
"The business model for the company is to sell low and charge for customization, education or expertise."
"I would like to see some kind of project management or portfolio management in a future version."
"There is no cloud-based version and it would be helpful if it were available."
"They're pretty good but there's always room for improvement. There should be more templates that users can utilize immediately."
"ManageEngine, in my experience, fosters that type of environment; it doesn't have an easy button, a graphic user interface, ease-of-use, and ease-of-dev — the product does not have any of that."
"The product is very difficult to use and configure and requires specialists."
"ManageEngine SupportCenter Plus could improve on workflow automation features."
 

Pricing and Cost Advice

"From my experience, I can say that the initial setup cost is easily recovered over a period of time once the bots start running in production."
"The initial setup and licensing fees are high, and although it saves costs in the long run, reaching the break-even point can take at least six months."
"They're very flexible around pricing and licensing."
"While calculating the setup cost you should account for the server, virtual machines, product licenses, maintenance costs, and running costs."
"We have seen a return of investment because it takes less time to market in our current process. I would estimate a times savings between 20 to 30 percent."
"It is the most economically friendly and it provides you with a lot of functions."
"Automation Anywhere is expensive, making it suitable only for enterprise organizations."
"Licensing for Automation Anywhere (AA) is paid on a yearly basis. Out of all the RPA tools, it has the most value for money, e.g. what you pay is what you get."
"The price for the licensing is fair."
"The pricing isn't overly burdensome. It's going to be interesting to see how new models come in with new capabilities but, as it is, as a base system, it's pretty good."
"User-based licensing has been working well for us, and we believe we are deriving significant value from it."
"It is expensive. It's not a cheap thing."
"The solution is affordable."
"ManageEngine products will always be the lowest cost in category as that is part of their business model."
"The licensing fees depend on different criteria, including options and sizing."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Comms Service Provider
10%
Manufacturing Company
10%
Manufacturing Company
15%
Construction Company
9%
Healthcare Company
7%
Financial Services Firm
6%
Construction Company
19%
Comms Service Provider
14%
University
9%
Performing Arts
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise82
Large Enterprise558
By reviewers
Company SizeCount
Small Business3
Large Enterprise7
No data available
 

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...
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...
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 ManageEngine SupportCenter Plus?
ManageEngine SupportCenter Plus is cheap, around two or three on a scale where ten is the most expensive.
What needs improvement with ManageEngine SupportCenter Plus?
ManageEngine SupportCenter Plus could improve on workflow automation features. Currently, everything is very manual, ...
What is your primary use case for ManageEngine SupportCenter Plus?
We use ManageEngine SupportCenter Plus primarily as a ticketing tool within our company.
 

Also Known As

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

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Brickman Group, SVP Worldwide, Chicago Tribune, Sodexo, Constellation, Lowcost Holidays, Telesur, PayEx, Quintiq, Moblize, Oman Air, Intelligent Hospital Systems
Find out what your peers are saying about Espressive Barista vs. ManageEngine SupportCenter Plus and other solutions. Updated: September 2026.
913,924 professionals have used our research since 2012.