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

Automation Anywhere AI Agent vs Cube comparison

 

Comparison Buyer's Guide

Executive Summary

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 AI Agent
Ranking in AI Data Analysis
91st
Average Rating
7.4
Number of Reviews
3
Ranking in other categories
AI Customer Support (42nd), AI Sales & Marketing (14th), AI Content Creation (8th), AI Finance & Accounting (9th)
Cube
Ranking in AI Data Analysis
19th
Average Rating
8.4
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Embedded BI (10th)
 

Featured Reviews

KS
Account Director at a tech vendor with 10,001+ employees
Automation has transformed invoice and bank processing but still needs faster setup and better integration
Automation Anywhere AI Agent could be improved in a few ways. Since I am currently working with Salesforce and I understand that to compete Automation Anywhere as a middleware product with Mulesoft or Informatica, the implementation phase needs to be quicker. The POC is always successful, but the implementation phase has to be quicker. The business needs to understand this better. Automation Anywhere should get into the business team and focus on explainability at the business level, not just a technical thing, but in the language or discussion where the business team can understand. There is clear business reasoning missing right now. The learning is strong within the process for sure, but there is limited reuse of learning across processes, which I think is very important. Simple model governance for business users is needed so that anyone should be able to use or create bots on Automation Anywhere. Right now, consultants and partners are needed in place. Additionally, Automation Anywhere should have native integrations with core platforms such as Oracle, SAPs, Salesforce, and ServiceNow. It should have out of the box integration rather than going for APIs because the deals which are not getting closed with Automation Anywhere or UIPath are purely because these organizations do not have out-of-the-box connectors available.
Amir Hassan - PeerSpot reviewer
Data Scientist / Data Analytics Consultant at Fiverr International Ltd
Managing complex data hierarchies has improved analytics but still needs richer hierarchy types
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

Quotes from Members

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

Pros

"Since all three benefits are achieved—accuracy, efficiency, and cost saving—the business impact and dollar impact is really high."
"I feel Automation Anywhere AI Agent is better than Blue Prism in that specific context."
"By automating repetitive processes such as data entry, report generation, and transaction processing, I reduced manual effort significantly as tasks that earlier took hours now take minutes, resulting in clear time savings."
"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
"Cube's caching mechanism impacts my database query loads and response times significantly."
"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."
"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."
 

Cons

"The implementation cost even for a POC was very high, and that was a pain for all the customers."
"When considering weaknesses and improvements, the platform does not give us the liberty to use our own features where we can bring out creativity."
"The OCR and document understanding of Automation Anywhere AI Agent still struggle with complex and unstructured formats such as invoices with multiple layouts, poor scan quality, or handwritten fields."
"Cube can be improved by enhancing data refresh over multiple tabs."
"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."
"There is no way to create a real template that is not exposed directly in the UI."
"I did not see any return on investment from Cube."
"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
35%
Outsourcing Company
12%
Manufacturing Company
12%
Comms Service Provider
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Automation Anywhere AI Agent?
Automation Anywhere AI Agent is quite good overall, and I believe the main area for improvement is working on different OCRs to extract data properly. The OCR and document understanding of Automati...
What is your primary use case for Automation Anywhere AI Agent?
My main use case for Automation Anywhere AI Agent is to extract data from different invoices such as bills of lading, document automation, OCR extraction, and speech-to-text. In a recent project, a...
What advice do you have for others considering Automation Anywhere AI Agent?
My advice for others looking into using Automation Anywhere AI Agent is to start with a well-defined, stable process rather than a very complex one, as it works best when the process is standardize...
What is your experience regarding pricing and costs for Cube?
The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.
What needs improvement with Cube?
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These ...
What is your primary use case for Cube?
In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...
 

Interactive Demo

Demo not available
 

Overview

Find out what your peers are saying about Automation Anywhere AI Agent vs. Cube and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.