No more typing reviews! Try our Samantha, our new voice AI agent.

Espressive Barista vs TeamSupport comparison

Why PeerSpot?
Sponsored
 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
6.8
Number of Reviews
666
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 (38th), AI-Powered Chatbots (9th), AI-Agents for HR (4th)
TeamSupport
Average Rating
7.0
Reviews Sentiment
6.2
Number of Reviews
2
Ranking in other categories
Help Desk Software (33rd)
 

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.
it_user1343835 - PeerSpot reviewer
Manager at a computer software company with 501-1,000 employees
Stable, easy to install, and cost effective, but it needs better integration and data management
It needs better integration with other tools like Jira. Better reporting and better data management are also needed. I believe the way they're structured is the flat file. So it'd be better if they actually used a database for the data storage, and a more robust portal. I would like more flexible reporting.

Quotes from Members

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

Pros

"Automation Anywhere provides the best feature to make a software bot for processes."
"Our development time has been reduced because the solution is very user-friendly."
"It is very user-friendly. The AI capability that nowadays I am seeing in Automation Anywhere is very good. They have plug-and-play AI solutions."
"We use IQ Bot for invoice processing. It can be any type of document. It could be a PDF or any sort of document. It will convert those PDFs into CSV files, which is a structured format. It takes it from an unstructured to structured format. That is why we use IQ Bot."
"It is very easy to use and learn compared to a programming language, where you have to have a background in coding. Anyone can learn it. Learning the software is easy."
"We are getting approximately two hundred percent return on investment from Automation Anywhere throughout our automation journey, including RPA and our current Agentic Process Automation implementation, which is definitely a very good ROI we are receiving from Automation Anywhere."
"We have almost 27 use cases in production and, as of now, we have saved almost eight FTEs per annum."
"My experience with Automation Anywhere over three years has shown tremendous growth in operational efficiency and business processes, as it helps to automate repetitive and rule-based tasks such as report generation and data entry quite faster and efficiently, reducing errors by about thirty to forty percent from what I observed a few years back and improving SLA-related compliance."
"Our department received about a 70% deflection rate, so that was really great."
"I like Expressive Barista's integration with Microsoft Teams."
"Given Barista's out-of-the-box content for common industry applications, the value is pretty good right from day one."
"This is one of the few tools that live up to the sales reps' hype when it comes to integrating with ServiceNow."
"Given the out of the box content for common industry applications, we got good value out of the solution right from day one."
"Its ability to recognize phrases has gotten smarter over time."
"The most valuable feature is its scalability."
"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."
"It is more flexible than our current solution."
"Absolutely, we have seen a return on our investment."
"The two most valuable features are the portal and reporting."
 

Cons

"For smaller teams and during the onboarding, it takes a little while to figure out how to make things work."
"Cost-wise, it should be reduced."
"What we currently have with Fortress IQ needs to mature more, and I say this since people spend weeks creating PDDs documentation."
"My main issue with Automation Anywhere might be the logging of bots and getting more detailed feedback of what my bot is doing, step by step. It is hard to track fine-tuning in larger codes."
"Automation Anywhere should implement this feature. They should also decrease their cost."
"Improvements that can be made are: It should be easier to automate tasks on a virtual machine that uses a different environment altogether."
"Some of the machine learning (ML) components are still in development. They deployed many of them, but they are doing some improvements on the machine learning part."
"We are still hoping to see improvements in its ability to have the client answer automatically and reconnect when Windows updates are applied."
"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."
"I would like to see improvement to the out-of-the-box verbiage, with the questions going to the right place."
"Espressive Barista's natural language processing and conventional AI still have room for improvement."
"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."
"The reports provided by the solution are not customizable."
"The knowledge management could definitely be improved."
"Expressive Barista could improve by adding native integration with WhatsApp, one of the top communication channels in South Africa. When we're trying to sell Barista to customers, we have to tell them that the solution doesn't have out-of-the-box support for WhatsApp. We can develop it, but then we need to have a conversation about how much that will cost."
"I would like to see the continued expansion of all of the automation capabilities."
"Yes. Major system issues and outages during our implementation."
"It's a very cost-effective solution, but it's not robust."
"It needs better integration with other tools like Jira."
 

Pricing and Cost Advice

"The setup cost depends on multiple factors, so you need to get details before choosing."
"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 would like them to change the license model of charging per bot."
"Its cost is good."
"We are not receiving the right information about their features, e.g. Automation Anywhere University, or anything that they are selling. They need to improve their documentation."
"As far as costs, it depends on your use. We started with a basic department pack, which is over 10K. The additional costs depend on the scale of the engagement and how it pans out. We customize to our needs on the go."
"There is an annual subscription for Automation Anywhere."
"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."
"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."
"It is expensive. It's not a cheap thing."
"User-based licensing has been working well for us, and we believe we are deriving significant value from it."
"The price for the licensing is fair."
"The solution is affordable."
"The price is approximately $70 per agent, per month."
report
Use our free recommendation engine to learn which Help Desk Software solutions are best for your needs.
915,341 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Manufacturing Company
11%
Comms Service Provider
11%
Manufacturing Company
15%
Construction Company
9%
Healthcare Company
7%
Financial Services Firm
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise85
Large Enterprise561
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.
Ask a question
Earn 20 points
Ask a question
Earn 20 points
 

Also Known As

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

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
Nokia, American Lung Association, Fujifilm, NBA, Comcast
Find out what your peers are saying about Espressive Barista vs. TeamSupport and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.