Try our new research platform with insights from 80,000+ expert users

Automation Anywhere AI Agent vs Deepgram 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 Customer Support
78th
Ranking in AI Sales & Marketing
17th
Average Rating
6.8
Number of Reviews
4
Ranking in other categories
AI Data Analysis (200th), AI Content Creation (9th), AI Finance & Accounting (12th)
Deepgram
Ranking in AI Customer Support
5th
Ranking in AI Sales & Marketing
7th
Average Rating
8.6
Reviews Sentiment
6.0
Number of Reviews
10
Ranking in other categories
Text-To-Speech Services (4th), Speech-To-Text Services (1st), AI Scheduling & Coordination (2nd)
 

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.
Arunkumar HG - PeerSpot reviewer
Technology Architect & Hands-On Leader | Prototyping, Automation, AI/LLM Integration | 20+ Years in at Regalix
A Powerful, Adaptable, and Constantly Evolving STT Solution for Voice Automation
Honestly, Deepgram has been exceptionally proactive in addressing the primary area that needed improvement. My main challenge was with the real-time detection of when a user has finished speaking in a live conversation, which is critical for a responsive voice bot. They directly solved this by releasing their Flux model. Because Flux is a recent release, I haven't yet had enough time to thoroughly test it and identify new limitations. At this stage, any "improvement" would be more of a "nice-to-have" feature rather than a fix for an existing problem. The core service is already very robust and meets all of our current needs. What additional features should be included in the next release? ---------------------------------------------------------------- Looking toward the future, here are a few features that could add even more value to an already excellent platform: * Advanced Built-in Analytics: While I can get the raw transcript and build my own analytics pipeline, it would be powerful to have features like sentiment analysis, emotion detection, or automatic summarization offered directly through the API. This would save significant development time. * More Granular Speaker Diarization: For calls with multiple participants, enhancing the real-time speaker diarization (labeling who is speaking) to be even more precise would be a fantastic addition for creating detailed call analyses. * Tighter Integration with TTS: Since Deepgram is also expanding into Text-to-Speech (TTS), offering a more seamlessly integrated STT-to-TTS pipeline could simplify the development stack for creating voice agents from start to finish. * Specialized, Pre-Trained Industry Models: While the general models are highly accurate, offering even more specialized, pre-trained models for specific industries like finance, healthcare, or legal-which are heavy on specific jargon-could push the accuracy even higher for those niche use cases.
report
Use our free recommendation engine to learn which AI Customer Support solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
10%
Comms Service Provider
9%
University
9%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise1
 

Questions from the Community

What needs improvement with Automation Anywhere AI Agent?
When considering weaknesses and improvements, the platform does not give us the liberty to use our own features where we can bring out creativity. We have to map the process to whatever is availabl...
What is your primary use case for Automation Anywhere AI Agent?
The primary use cases predominantly involve banking, including check validation, fraud management, and anti-money laundering. We extract these from the core banking system and pull them into the ag...
What advice do you have for others considering Automation Anywhere AI Agent?
I do not use the Process Analytics feature. I would describe the role of Cognitive Automation skills in managing complex tasks as very good. However, we are not using it now. They are moving more t...
What is your experience regarding pricing and costs for Deepgram?
My experience with pricing, setup cost, and licensing was good, as I found it to be cheaper without any problems.
What needs improvement with Deepgram?
Even though Deepgram has many customization options, I wish that Deepgram had voice cloning customization to a much larger extent. I also wish that the price were a bit lower if possible.
What is your primary use case for Deepgram?
My main purpose for Deepgram was to convert meeting voices to text very easily, and the other purpose was for content creation. I mostly use Deepgram for those two purposes.
 

Comparisons

No data available
 

Overview

Information not available
Find out what your peers are saying about Automation Anywhere AI Agent vs. Deepgram and other solutions. Updated: January 2026.
881,082 professionals have used our research since 2012.