IBM watsonx Assistant vs. salevant.ai

In scenarios requiring highly specialized technical support, where deep domain expertise is necessary, a virtual assistant may lack the specific knowledge needed to address complex technical issues, It's important to note that the effectiveness of virtual assistants depends on factors such as the quality of training data, customization, and ongoing improvement efforts.

Incentivized

The best scenerio is the customer support teams and the internal knowledge base of the organisation using salevant.ai once trained on the organisations knowledge repository any one can question it about any information they need about the organisation or about any policy or framework they do not know or need to understand.

• Provides fast and accurate responses to our customers.
• Learns and adapts, continually improving its responses and recommendations as it interacts with customers.
• Integrates seamlessly with our internal systems and databases.
• We can customize and adjust the virtual assistant's responses and recommendations to suit our customers' specific needs.
• It provides valuable information about our customers' needs and preferences.

Incentivized

• Rapid answering
• MUltilingual support
• Instant training
• Live call encyption

• Watson Assistant requires some improvement in the way it deals with multimedia content when displayed on the assistant. As of now, IBM Watson Assistant has issues displaying technical diagrams on a small chat window. This is definitely something that needs some improvement.
• It is sometimes hard and time-consuming to create some advanced actions while creating the virtual assistant so I suggest that the IBM Watson Assistant development team would work on creating sample templates for some simple to advanced actions according to industry to help kick-start the process of creating the initial virtual assistant.
• IBM Watson Assistant is great, but it is not magic on its own; it requires more extensions which, in my opinion, are very limited to a few possibilities. Enhancing the extensions with other products, including open-source solutions, ought to be a priority for the Watson Assistant development team.

Incentivized

• Processing time
• document processing time

Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library.

Incentivized

salevant.ai has resolved our multiple problems at the same time it manages our good customer relations and handles queries of sales and serving folks.

IBM Watson assistant has come a long way in last few years, and is handling the generative AI chatbot building really well. It is of immense importance to sales strategists like me who are average in coding but have real world cases of lead qualification for sales. IBM Watson is also very intuitively designed with the amazing drag and drop feature. Testing is easy, deployment is pretty straightforward. I could have worked with a little more sales support, but then the whole point of making a conversational AI chatbot is to reduce the sales support intervention - so I guess I will live with that

Incentivized

To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.

Incentivized

We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).

Incentivized

Excellent course material.

Incentivized

Overall the implementation was simple.

Incentivized

IBM Watson Assistant provides a highly intuitive and user-friendly interface, making it accessible to non-technical users to easily create and deploy conversational agents. Additionally, being a cloud-based platform, it eliminates the need for manual retraining of the bot after each modification, saving time and resources for businesses. This combination of user-friendliness and automation makes watsonx Assistant an ideal choice for building conversational agents at scale.

Incentivized

To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.

Incentivized

Over All good

Incentivized

• Had a very positive impact on ROI
• The AI models allow to create solutions with intelligence easily with easy to use interface
• We are able to solve problems with a wide range of tools
• It is benefitting the organization to solve business problems to clean the data

• good ROI almost doubled customer satisfaction rate