NLX

My main use cases for Conversations by NLX involve customer support and patient services, including rescheduling, booking appointments, and cancelling.

For customer support and patient services with Conversations by NLX, I manage appointment details by rescheduling and cancelling, ensuring we have enough intent, fetching the data using entities, and implementing FAQ automation by adding patient-related questions. Calendar integration enables users to easily reschedule, cancel their appointments, and book new ones.

Regarding my use cases, we are implementing NLU (natural language understanding) to fetch user intention, and we provide human-like behavior with voice chat, making the interaction more similar to speaking with a human.

The best features Conversations by NLX offers include multimodal capabilities and FAQ automation.

The multimodal feature is crucial. While it can be challenging to maintain chat along with omni-channel chat and voice, using Conversations by NLX makes it easy to combine voice, chat, and omni-channel support through web chat and telephony IVR.

I have recently noticed that the Gen A feature is very impressive, using RAG to provide proper answers and fetching accurate content, resulting in less hallucination during the training of FAQs.

Conversations by NLX has positively impacted my organization by increasing user engagement by thirty percent. We transitioned from the Microsoft bot framework to the NLX framework over the past year, which has resulted in higher user engagement and improved user solutions for appointment rescheduling and cancellations from the bot itself.

I believe that Conversations by NLX could benefit from reducing hallucination by expanding training intents and adding more integration possibilities with CRM ticket systems and other platforms.

I must emphasize the need for more training systems and integration with other platforms such as SRE, CRM systems, ticket systems, and APIs to enhance the functionality of Conversations by NLX and reduce hallucination.

I have been using Conversations by NLX for around one year.

Conversations by NLX is stable.

The customer support of Conversations by NLX is excellent.

I rate customer support for Conversations by NLX as a ten.

Previously, I used the Microsoft bot framework and decided to switch because their desktop support became unavailable when they moved to Copilot.

We have seen a return on investment as we have saved money. Conversations by NLX does not require deep technical knowledge, allowing all employees to use it effectively, making it user-friendly.

We measure the increase in user engagement through analytics, which has allowed us to quantify the improvements.

I do not have much experience regarding pricing, setup cost, and licensing as those aspects were handled by the company. I primarily focus on development and analytics.

Before choosing Conversations by NLX, I evaluated various options including Microsoft bot framework, Google Dialogflow CX, Amazon Lex, and IBM Watson.

On a scale of one to ten, I would rate Conversations by NLX as a ten.

I chose ten because it has unique features that are not yet popular in the market. It offers more functionalities with less hallucination and is very user-friendly.

Conversations by NLX has eighty to ninety percent accuracy and reliability, along with scalability in a similar range.

I advise others looking into using Conversations by NLX that it may not be popular or well-known in the market, but it offers more features at a lower price compared to others such as OpenAI.

My overall review rating for Conversations by NLX is ten out of ten.

My main use case for Conversations by NLX is for multimodality experiences such as chat, voice, and text, as well as enterprise use cases with low code or some integrations, with different multilingual support. My role has a lot to do with testing different languages, so multilingual support is something I'm looking for.

I can give a specific example of how I used Conversations by NLX in one of my projects, where I'm particularly looking for differences between sarcasm, humor, and satire, and how it would respond to different things in different languages, as well as in different categories such as violent crimes and non-violent crimes. When we're doing adversarial or safety testing to check how strong the AI is, that's part of the red teaming effort that we are doing. We try different techniques, including different prompts which could trick the AI. The multilingual analysis of the prompt outputs in various categories is a critical aspect.

The best features that Conversations by NLX offers are voice and the multimodality experiences, especially for guided customer journeys across voice and digital channels.

Guided customer journeys across voice and digital channels are valuable for my team because we are a team of red teamers who do adversarial testing, and it really matters how it gives its output across different cultures, different languages, and different countries. It really has to stand out how the tools handle one channel well or if they're doing a great job connecting the experiences across different channels in one flow. Conversations by NLX positions voice to reduce friction and make the interaction feel much more seamless, especially for customers who really need step-by-step help.

Conversations by NLX has impacted my organization positively as a real differentiator for us because we do side-by-side testing for many AI models, and the multimodality experience in Conversations by NLX allows the customer to interact in more than one way during the same task, such as speaking while also seeing the prompts, choices, and confirmations. That has made a huge impact.

Conversations by NLX could improve on some advanced use cases, as they might need help with the technical setup and integration. That could be one downside, and sometimes it feels more enterprise-focused than a very beginner-friendly or lightweight tool. Some work in that area could be beneficial.

The pricing and implementation details of Conversations by NLX are not fully transparent upfront, so evaluation may require a sales conversation.

I have been using Conversations by NLX for almost a year.

Conversations by NLX is stable.

Conversations by NLX's scalability is pretty good, and they are very scalable.

Customer support for Conversations by NLX is good. Scalability is one of the main strengths, and if I've ever needed customer support, I've had a lot of support with customer interactions. I would rate the customer support for Conversations by NLX on a scale of one to ten as a ten.

I did previously use a different solution; however, this information is discreet, and I cannot share that. We did use a different solution at Google.

My experience with Conversations by NLX regarding pricing, setup cost, and licensing is that I'm not the one who is mainly in charge, but the pricing and implementation details were not very fully transparent upfront.

My company does not have a business relationship with Conversations by NLX other than being a customer; there is no relationship.

I have seen a return on investment with Conversations by NLX. We definitely saved money and time, but there were no staff that had to be let go because of Conversations by NLX. However, we could handle more projects because of it, so efficiency and time definitely improved.

The pricing and implementation details of Conversations by NLX are not fully transparent upfront, so evaluation may require a sales conversation.

Before choosing Conversations by NLX, I evaluated other options, and we evaluated many different options, even including Perplexity and Copilot.

The advice I would give to others looking into using Conversations by NLX is that they are pretty scalable, stable, accurate, relevant, and safe. I think everybody should use it.

If anybody needs a scalable, enterprise-grade conversational AI, they should go for Conversations by NLX. It looks pretty solid.

Conversations by NLX's governance and security look pretty secure, though I've never thought deeply about this parameter. It looks pretty solid on paper. They do call out the access control, the sensitive data handling, integrations, and runtime protections. For governance, I feel it's reasonably mature in the sense that the platform supports reviewability and operational oversight, but I would still want to verify practical details in the real deployment.

Regarding Conversations by NLX's AI capabilities, I feel they are accurate and reliable; almost nine out of ten times, it's accurate and pretty reliable, and the output is relevant, very consistent, and complete. I would rate this review overall as an eight out of ten.

Conversations by NLX is used for customers to get account details, card details, to block a card, or for loans, to get loan details, and to get a checkbook request or locate a bank branch.

We create a flow to do the task with Conversations by NLX by dragging and dropping and making a flow to accomplish this, and integrating APIs and REST APIs from the backend core banking APIs to authenticate the user or the customer. We can then proceed with the main task. For example, if a customer wants to block a debit card or wants any details, we can create a flow by creating the intents and entities. This defines what the user wants and what we are looking for. We can ask the required questions and create entities such as customer ID or registered mobile number as per the project requirements and specifics.

Conversations by NLX is user-friendly, easy to use, and environment-friendly, making it a good platform.

The drag-and-drop functionality of Conversations by NLX is easy to use. The environment is user-friendly, and we don't have to do much coding.

Conversations by NLX has helped us to assist our users and customers and develop our product for the contact center platforms.

I haven't used Conversations by NLX much, so I don't think there's an improvement needed.

Regarding Conversations by NLX's AI capabilities, the security is solid. I haven't done a deep dive into security for specific purposes, but it's secure and the authentication aspects were great.

I have been working with this solution for the past four years.

I am quite satisfied with the product we developed on Conversations by NLX.

We haven't had a partnership with another company. We are using a paid version.

Conversations by NLX is quite a good platform, and that's the main reason I have chosen it. It's easy to use, user-friendly, and you don't have to struggle to work on it. My overall rating for Conversations by NLX is seven to eight out of ten.