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Airtable vs Automation Anywhere AI Agent comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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

Airtable
Ranking in AI Data Analysis
11th
Ranking in AI Sales & Marketing
2nd
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
17
Ranking in other categories
Project Management Software (12th), No-Code Development Platforms (9th), Product Management Software (1st)
Automation Anywhere AI Agent
Ranking in AI Data Analysis
200th
Ranking in AI Sales & Marketing
17th
Average Rating
6.8
Number of Reviews
4
Ranking in other categories
AI Customer Support (78th), AI Content Creation (9th), AI Finance & Accounting (12th)
 

Featured Reviews

Favour Emosivbe - PeerSpot reviewer
Automation Specialist at ZapWorx
Has required stronger collaboration features while still supporting complex project workflows
The best features in Airtable include the flexibility and the fact that I could create relational databases. Before I started using Airtable, I was using Excel which didn't offer these capabilities. The ability to create relationships between tables and see through what's working in other departments is great for me. I can do scripting and work on large data sets on Airtable. It makes it easy for me, as working on those data sets on Excel tends to slow me down, but on Airtable, it's much faster. I can integrate Airtable with other platforms; aside from the native integration where I can send notifications to Slack teams and messages to Gmail, I can also connect with Make.com to share data. The interface on Airtable is exceptional. Working for my clients, when a client didn't want access given to all teams, we structured that on the interface and the different teams got different access to different tables. Airtable's rich field types help in organizing complex data for my team. The advanced field types work exceptionally with features such as linking records together. I can link records from other tables and see what's happening, use the lookup field, the roll-up field, and the count field to see what's occurring in other departments and generate insights. Unlike other CRMs, data cannot enter if it's not properly structured. If I want to input an email and it's not valid, it won't allow it because it expects the data to be structured appropriately.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Educational Organization
9%
Comms Service Provider
9%
Construction Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise1
Large Enterprise4
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Airtable?
I am not sure about the pricing because I believe budget discussions are handled by a different marketing team. We have a separate team that manages all those matters; we just handle the clients' d...
What needs improvement with Airtable?
One area of Airtable that I think could be improved is the automation aspect, which is vast but limited compared to tools such as GoHighLevel, where multiple triggers can be utilized. In Airtable, ...
What is your primary use case for Airtable?
My usual use case for Airtable is for CRM management, such as lead management, and also real estate project management. I also use it for project management related to events, project management, i...
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...
 

Comparisons

No data available
 

Overview

Information not available
 

Sample Customers

Cole Haan, Expedia, BuzzFeed, Medium, Shopify, Box, JetBlue
Information Not Available
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881,082 professionals have used our research since 2012.