IBM watsonx.ai in Action
October 15, 2025

IBM watsonx.ai in Action

Sarthak Chopra | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM watsonx.ai

Well, in our business we use IBM watsonx.ai for different purposes. One of them being to help our customer support team respond to inquiries faster. It can quickly scan our knowledge base and suggest helpful resources so the manual efforts has been eliminated to a large extent. We are focused on automating support and improving accuracy.

Pros

  • It understands natural language questions, so I can ask things in plain English and still get answers.
  • Quickly scans through huge amounts of data
  • Integration is pretty well

Cons

  • Training it on our internal unique data took longer than expected
  • Could have a better intuitive interface
  • Customising responses for different departments can be tricky and sometimes require technical help
  • Reduced workload on support team, was able to automate.
  • Faster response time
  • Integration is great
It's ability to understand natural language, a great capability it is. This makes interacting with it feels easy and intuitive. Making an AI assistant wasn't very complicated or tedious with the help of IBM watsonx.ai even for non technical users. Speed is also commendable even when searching through complex datasets of the business processes.
Customer support chats/ agents have been built, automated which we couldn't do before. It also lets us quickly search and summarising huge documents so a lot of hours for reporting have been saved indeed, thanks to IBM watsonx.ai. We're looking for more areas/ processes where we can leverage it to eliminate the redundancy.

Do you think IBM watsonx.ai delivers good value for the price?

Yes

Are you happy with IBM watsonx.ai's feature set?

Yes

Did IBM watsonx.ai live up to sales and marketing promises?

Yes

Did implementation of IBM watsonx.ai go as expected?

Yes

Would you buy IBM watsonx.ai again?

Yes

We tried making an AI assistant/ chatbot out of it, worked and integrated pretty well with our process. We also use for summarising long docs, which saves a lot of time. However, the chatbot sometimes gave very generic answers, which I found to be a drawback. Also, another issue that I encountered was if the question was very complex, it started giving vague answers.


IBM watsonx.ai Feature Ratings

AI Development
7.8
Model catalog
6
Machine learning frameworks
7
Data integration
9
Data management
8
Data monitoring and version control
7
Automated model training
8
Managed scaling
7
Model deployment
9
Security and compliance
9

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