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Agiloft Service Desk Suite vs Espressive Barista 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 (1st), AI Procurement & Supply Chain (1st)
Agiloft Service Desk Suite
Average Rating
9.6
Reviews Sentiment
7.4
Number of Reviews
2
Ranking in other categories
Help Desk Software (45th)
Espressive Barista
Average Rating
8.8
Reviews Sentiment
7.2
Number of Reviews
9
Ranking in other categories
Help Desk Software (38th), AI-Powered Chatbots (9th), AI-Agents for HR (2nd)
 

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.
MG
Project Executive at GT Services LLC
Our customer service and productivity have increased in quality and quantity since using this product
Agiloft has a great support team to help the process along. They are affordable, friendly, and knowledgeable. The tech support team acts like walking encyclopedias. They know databases and programming. After all these years, we hardly need to speak to Agiloft anymore. However, they have great customer support. Every time we need something from them, they make our small troubles go away quickly.
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.

Quotes from Members

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

Pros

"We have installed Automation Anywhere on AWS, Azure, and GCP, which works well."
"The AI collaboration is the most impressive feature of Automation Anywhere."
"SAP GUI Integration commands are highly useful while working with SAP applications and facilitate easy use of the software. This feature has been recently incorporated within the software and we have been using it to interface with SAP systems in development as well as production."
"The whole suite of RPA modules that they have is very good. They have three environments in which you can do your automation. You have development, staging, and production environments. These are run by licenses as well, which is very good. There are a lot of ways of automating processes with this application."
"The solution is easy to learn and with it, it's easy to replicate knowledge."
"At the most granular level, automating people's daily tasks has been helpful by freeing them up to do higher value-add activities, which is definitely beneficial."
"We have an automation that we just put in production where we are doing a double-blind quality review, and the bot is comparing the two entries and kicking out a large number of exceptions for human review, so we have saved a large number of hours every day by not having humans look at things that match."
"It has taken a lot of manual Excel manipulation that we have previously did, and removed that work away from people who did that for ten hours a day, five days a week, allowing us to refocus our resources into more value-add activities and simplifying our landscape."
"Because this product is infinitely customizable and easily developed, we are using it for other applications."
"This product paid for itself within the first six months of use, and after about six months, we started making a return on our investment at more than 300%."
"Our customer service and productivity have increased in quality and quantity since using this product."
"This is one of the few tools that live up to the sales reps' hype when it comes to integrating with ServiceNow."
"The solution is available to support us instantly as required."
"Given the out of the box content for common industry applications, we got good value out of the solution right from day one."
"The bot is pretty easy to update and keep up to date. Espressive itself is pretty easy to work with."
"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."
"Its ability to recognize phrases has gotten smarter over time."
"Given Barista's out-of-the-box content for common industry applications, the value is pretty good right from day one."
"When it comes to neutral language processing and conversational AI, it's very good, very solid... We all have different ways of speaking or writing in English and the application does a very solid job of recognizing what's being asked regardless of how it's being asked."
 

Cons

"The A2019 in early releases had been quite unstable to our experience."
"I have noticed that after the bots have been delivered to run in a production environment, there are issues in terms of quality and performance."
"We had had issues with scalability. Recently, we had a use case which we were working on, but we could not do it because Automation Anywhere could not connect to the system."
"Cloud API vision and OCR engine integration should be more effective."
"I would like better support. The technical support is mediocre. The support is sometimes really good, and sometimes it is really bad."
"The main disadvantage of Automation Anywhere is its high cost."
"We would like to have more ease of use for the operations team."
"I don't find a lot outside of the internal community forum."
"We have found the documentation a bit confusing at times. This area could use some improvement."
"Espressive Barista's natural language processing and conventional AI still have room for improvement."
"I would like to see improvement to the out-of-the-box verbiage, with the questions going to the right place."
"The reports provided by the solution are not customizable."
"The knowledge management could definitely be improved."
"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."
"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."
"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."
"There aren't very many things that this product needs improvement on."
 

Pricing and Cost Advice

"It's very good in terms of cost and pricing."
"I believe it is $10,000 for Bot Creator."
"The solution is costly and the licensing is very confusing."
"The enterprise version is expensive for small businesses and individual users."
"They're very flexible around pricing and licensing."
"The setup and licensing cost is affordable, and it is not exaggerated like UiPath."
"In the Indian market, I feel that for mid-size companies, such as ourselves, that having multiple bots costs a lot. If Automation Anywhere wants to expand in the Indian market, they will need to look at their pricing."
"The price of this product is good."
"After about six months, we started making a return on our investment at more than 300%."
"Agiloft has by far the best entry point for both cost and learning curve."
"The solution is affordable."
"User-based licensing has been working well for us, and we believe we are deriving significant value from it."
"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."
"The price for the licensing is fair."
"It is expensive. It's not a cheap thing."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
No data available
Manufacturing Company
15%
Construction Company
9%
Computer Software Company
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise83
Large Enterprise553
No data available
By reviewers
Company SizeCount
Small Business3
Large Enterprise6
 

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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Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
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Interactive Demo

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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
EMC, ArcaTech Systems, Idera Pharmaceuticals, RBC, Affinity Service Group, Atrenta, DCG systems, ENKI, Hopkins County Board of Education, MVTS Technologies
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Find out what your peers are saying about Agiloft Service Desk Suite vs. Espressive Barista and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.