What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using Conversations by NLX for around one year.
Buyer's Guide
Conversations by NLX
September 2026
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What do I think about the stability of the solution?
Conversations by NLX is stable.
How are customer service and support?
The customer support of Conversations by NLX is excellent.
I rate customer support for Conversations by NLX as a ten.
Which solution did I use previously and why did I switch?
Previously, I used the Microsoft bot framework and decided to switch because their desktop support became unavailable when they moved to Copilot.
What was our ROI?
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.
What's my experience with pricing, setup cost, and licensing?
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.
Which other solutions did I evaluate?
Before choosing Conversations by NLX, I evaluated various options including Microsoft bot framework, Google Dialogflow CX, Amazon Lex, and IBM Watson.
What other advice do I have?
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.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Google
Disclosure: My company does not have a business relationship with this vendor other than being a customer.