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Deepset AI Platform vs SS&C Blue Prism comparison

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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
Sponsored
Ranking in AI Finance & Accounting
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
642
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 Procurement & Supply Chain (1st)
Deepset AI Platform
Ranking in AI Finance & Accounting
8th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Customer Experience Personalization (27th)
SS&C Blue Prism
Ranking in AI Finance & Accounting
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
11
Ranking in other categories
Business Process Design (8th), Business Process Management (BPM) (9th), Process Automation (10th), Medical Insurance Claims Software (1st), Insurance Claims Processing (1st), Document Management Software (4th), Low-Code Development Platforms (10th), Intelligent Document Processing (IDP) (6th), Loan Management Software (1st), Document Automation Software (3rd), Business Orchestration and Automation Technologies (12th), AI Customer Experience Personalization (9th)
 

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.
CH
Gen Ai Engineer at extend 7.ai
Pipeline framework has transformed how I evaluate RAG models and optimize vector search
The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time. The pipeline feature and the ease of composing with large language models and vector search save me a lot of time by not writing the code from scratch. I just build the pipeline because Deepset AI Platform provides the out-of-the-box integration with the tools and stack that I am using, including the OpenAI model as well as the Pinecone API. I do not need to implement the details; I just use the existing tools in Haystack, pulling it together for the pipeline. This allows me to avoid too much detailed coding and saves me a lot of work, enabling me to focus on the evaluation. Deepset AI Platform positively impacts our organization because we previously did not use any framework for Gen AI applications, and the introduction of this stack provides a framework for our team. It lets our team think about it and shows that it is worth introducing a framework in the future.
Biwod Duncan - PeerSpot reviewer
Account Manager at a manufacturing company with 5,001-10,000 employees
Automation has saved thousands of hours by processing bulk data and managing emails efficiently
The best features SS&C Blue Prism offers include powerful automation, easy-to-use process flow, and excellent integration capabilities. Data manipulation and handling is very easy and user-friendly. It is very secure, especially in handling sensitive data such as credentials. One of my favorite features of SS&C Blue Prism that stands out is its seamless integration with various systems. This includes features such as load balancing, encryption, audit, and spying modes. The capability proves to be a significant advantage when automating tasks across different applications and platforms, which saves a lot of time. The email handling feature is spot-on, and we are able to automate these tasks easily, saving a lot of time. SS&C Blue Prism has positively impacted my organization as it can easily handle a large amount of data, being very scalable. It also saves time through automation of email. It saved a considerable amount of time, more than 5,000 hours of manual work so far. It saved a considerable amount of money as well. The costing metrics will improve largely. It also requires very little coding. Instead of hiring new people trained in a specific tool, we were able to manage this with the existing workforce with a few weekend classes.

Quotes from Members

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

Pros

"The most valuable thing about using this product is that we are able to use the time that we spent doing manual processing for other progressive purposes."
"It is a good tool and one of the market leaders."
"The bot creation process is easy, manageable, and everything is well-organized for a developer. Everything is centralized."
"The turnaround time of building bots is quick. We are deploying around four bots per month. The turnaround time to get a design, build, and deploy is very fast. This is very good for us. It has helped us out when scaling up in a better manner."
"The ease of use for the end user and the very low complexity in trying to build a bot are the big factors for us. We are able to work on a project, identify a use case, come up with a design spec, and execute and build a bot within a span of six to eight weeks. In nine to ten weeks, we are able to go live, which reduced complexity. Once we go live, the user interface and the user experience are extremely good."
"The development of the company from Automation Anywhere V11 to a2019 was valuable. I found many important and new features, like changing the way we write code and programming. It became much easier and very flexible in version 2019A. It became very easy to use and the recording was also good. Excel became very good too."
"From my developer's point of view, the tool is pretty strong."
"Our first automation removed manual work from employees, so they are now able to more quickly product quality work."
"The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time."
"Specific outcomes since using Deepset AI Platform include ROI from fewer unsupported AI answers, faster context retrieval, and better manager trust in our quality answers."
"I find the design studio, where I can build the automation, and the control room feature, which allows me to run and monitor the automation, to be the most useful."
"We have converted manual processes into RPA processes, leading to significant time, money, and quality savings."
"Some important features include the language capabilities, which are crucial since RPA has to read the documents provided by the customer."
"We have a lot of customer requests on a daily basis for different use cases, and we have different processes for that."
"The key feature of SS&C that I find valuable is the general workflow visibility."
 

Cons

"The document processing, OCR, needs to be more accurate. Sometimes, when you try it on documents, it keeps on failing and goes to a different queue. It needs to mature."
"The EXE license is such that I can create executable files from the developer machine and deploy it; however, the file that you created can only be deployed to one system, so if you wanted to deploy this test file to, say, 10 test systems you would need 10 licenses."
"We encountered issues during the upgrade of the framework. We were using the older framework of version 10.3.5. When we were upgrading, we were having a few issues in terms of getting the proper hardware and software prerequisites. For some things, like getting the controls of some of the application's tools, we were getting Automation Anywhere's help."
"Automation Anywhere could improve by better integrating with DevOps. Currently, it cannot be integrated 100% with DevOps methodology, which many companies are requiring."
"The initial setup was a bit difficult and took more time than expected."
"Excel functionalities, the macro interface can be improved in the next release of RPA platform Automation Anywhere."
"It is very difficult to create and automate timetables because they are modal, and it would be helpful if the bot could assist us with this."
"It needs to have more options for integrating with other tools."
"Deepset AI Platform's accuracy and reliability of output are very good when the pipeline is simple and the data is already clean. However, when the data is not clean and the pipeline is complex, the quality and reliability of Deepset AI Platform decrease."
"Regarding improvements, I perceive that the Desktop automation needs enhancements, especially in input stages for dropdown options."
"There is a need for improved integration with external systems in SS&C."
"Blue Prism is more costly than UiPath in terms of robotic licenses and orchestrators."
"I noticed that it lacks the ability to automatically record the process steps like some of its competitors."
 

Pricing and Cost Advice

"Automation Anywhere is flexible in terms of costing and licensing."
"While calculating the setup cost you should account for the server, virtual machines, product licenses, maintenance costs, and running costs."
"The licensing cost could be improved. It costs a lot. At the very least, the developer licenses and the control panels should be made free to enterprises, and the production environment licensed."
"It is not too expensive, but there are many tools available in the market that can provide the same functionality at a cheaper price."
"If it is saving FTE and Generating a good ROI then it is Worth Investing."
"Despite being less expensive than UiPath, Automation Anywhere remains cost-prohibitive for many small and medium-sized businesses."
"Price is where I'm least satisfied. Other vendors are more willing to offer discounts."
"I would rate the cost an eight out of ten, with ten being the highest cost."
Information not available
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Construction Company
44%
Comms Service Provider
12%
Outsourcing Company
7%
Manufacturing Company
5%
Financial Services Firm
16%
Construction Company
16%
Retailer
10%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business154
Midsize Enterprise82
Large Enterprise536
No data available
By reviewers
Company SizeCount
Small Business3
Large Enterprise8
 

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.
What needs improvement with Deepset AI Platform?
No improvements are needed for Deepset AI Platform.
What is your primary use case for Deepset AI Platform?
I have been using Deepset AI Platform for around six months. I use Deepset AI Platform mainly for Gen AI model evalua...
What advice do you have for others considering Deepset AI Platform?
I do not have anything else to add about my main use case or how I use Deepset AI Platform in my process. I do not wa...
What is your experience regarding pricing and costs for SS&C Blue Prism?
License management is managed by our project manager and marketing manager, who interact directly with SS&C Blue ...
What needs improvement with SS&C Blue Prism?
Regarding improvements, I perceive that the Desktop automation needs enhancements, especially in input stages for dro...
What is your primary use case for SS&C Blue Prism?
My main use case for SS&C Blue Prism is that I have worked for three clients in finance and customer service-base...
 

Also Known As

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

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
AWS, EY, Deloitte, ABBYY, Microsoft, GLYNT.AI, Pfizer, Invesco, Western Union
Find out what your peers are saying about Sendbird, Amazon Web Services (AWS), Gong and others in AI Customer Experience Personalization. Updated: June 2026.
902,894 professionals have used our research since 2012.