Retell AI Reviews & Product Details

The best about retell ai was its ai voice agent integrations and feature. the ai agents and integrations it provided were already superb but the ai voice agent feature was next level for us. it also had lot of available integrations with telephony providers, chat models, even with eleven labs too. so its all in one which is crazy performing and not much tough or technically sound person needed to use this so the ui/ux designed is simple and usable to the non technical people as well. the pricing is moderate for us. we get proper documentation support from retell so we dont have to go to far to find out things. Review collected by and hosted on G2.com.

apart from a bit extra costing and some missing clarity in the underlying costs of a ai voice agent is somewhere missing out ot. Review collected by and hosted on G2.com.

I don’t need to write full responses; I only need to explain how the conversation flow should work, and Retell then handles the calls automatically. I also liked the ability to convert a calling flow into a chatbot. It’s very easy to set up and includes HubSpot integration. The calls sound very human-like, and I’m happy with the tool’s overall performance. I’m now getting leads from phone calls, and it has delivered a great ROI for me. Setting up an IVR flow took about 10 minutes without any major support, just explain what you want, and the AI does the rest. I highly recommend using Retell for IVR phone system setups. Review collected by and hosted on G2.com.

Filtering out spam calls can be a bit difficult, and it isn’t always as straightforward as I’d like. Review collected by and hosted on G2.com.

What I like best about Retell AI is how natural the conversations feel. I've interacted with many automated systems that sound robotic and scripted, but Retell AI does a much better job of understanding context and responding in a way that feels more human. This creates a smoother experience and makes conversations feel less repetitive.

From my perspective, one of the biggest benefits is its ability to handle routine interactions efficiently while still maintaining a conversational tone. It helps reduce the time spent on simple inquiries and allows more focus on situations that require deeper attention and problem-solving.

An unexpected benefit I've noticed is how useful the conversation transcripts and summaries can be. Having key details automatically captured makes it easier to review interactions, identify patterns, and ensure important information isn't missed. This saves time and helps improve accuracy when documenting customer concerns and resolutions. Review collected by and hosted on G2.com.

While I've had a positive experience with Retell AI overall, one limitation I've noticed is that it can occasionally struggle with more complex or nuanced conversations. When a caller changes topics frequently, provides unclear information, or asks unexpected follow-up questions, the AI may not always capture the full context as effectively as a human representative.

I've also noticed that, despite sounding very natural, there are times when the conversation can feel repetitive if the AI doesn't fully understand the caller's intent right away. In those situations, the interaction may require escalation or human intervention to ensure the customer's needs are fully addressed.

Another area for improvement would be more customization of conversation summaries and insights. While the transcripts and summaries are helpful, there are times when I would like key details or outcomes to be highlighted differently based on my specific workflow.

That said, these issues are relatively minor compared to the value Retell AI provides. The time savings, scalability, and ability to handle routine interactions efficiently make it a powerful tool, even if some conversations still benefit from human judgment and oversight. Review collected by and hosted on G2.com.

I’ve had an incredible experience with Retell AI’s conversational voice agents and call automation. I use it for inbound and outbound calls, customer support, notifications, and operational workflows. It helps us handle thousands of inbound calls with timely, 24/7 responses, so fewer calls are put on hold during peak hours. I also value the consistent quality of customer support, the structured workflows for bookings and order-status checks, and the reduction in staffing and operational costs. Handling calls in 13 local languages is a major win for us. The platform has a strong architecture and very low latency: conversations feel natural and human-like, with no lag or slowdown, and the response time is under milliseconds. I like that the technical configuration is not too complex, deployment was seamless and trouble-free, and the platform can be deployed in offline, online, or hybrid cloud environments. The API integrations work well for connecting our internal and external platforms. I also appreciate that Retell AI improves its features every three months and incorporates business feedback. Review collected by and hosted on G2.com.

I find that the voice AI has some technical limitations with vernacular languages and new domain-specific questions, so it needs frequent training and orientation. Some integrations take longer than I’d like, especially connecting to older company databases, and managing interruptions during ongoing calls could be improved. The AI can also lose the context thread during a conversation. Retell AI is developer-centric and lacks a no-code platform, which can make it technically difficult for new developers. I’d also like a simpler native dashboard flow builder and no-code tools. Review collected by and hosted on G2.com.

The developer's mindset behind building Retell AI immediately caught my eye as a software engineer working at a medium-sized firm. The fact that Retell AI is designed with the developer in mind stood out to me right away as a software engineer at a medium-sized company. The API documentation is very well explained and was quite easy to get up and running with custom WebSockets to interface with our own logic in the backend. The conversational nature of their voices is incredibly high-end—the natural sound, no lag time between turns and they listen while you are speaking—is much more like able to carry on a conversation with another person than with the more stodgy and awkward older, IVR-type "telephone" apps. Furthermore, the swapping of the underlying LLM engines and changing the system prompts directly from the codebase allows our engineering team to have absolute control over the flow of the conversation, without struggling in order to overcome the limitations of vendor's LLM offering. Review collected by and hosted on G2.com.

The site itself is well built, but there are some places which need some cosmetic touch. As the debugging tools for tracking the passing of the dynamic variables and the server log entry of Webhooks are a little light on resources when there's a silent failing the call, we sometimes have to delve a little deeper than we'd like. We've also seen some jitter and delays where the system is used with "high concurrency" at either startup or among many function calls while the conversation was on-going, which diminishes the real-time human feel for somewhat. Finally, although the overall pricing structure is reasonable for normal use, bandwidth charge and API charge can easily add up if you are running heavy background volume, with monitoring needed here. Review collected by and hosted on G2.com.

I have used Retell AI for creating and operating AI voice agents and find it helpful. The best part of it is that it positively allows creating voice-based applications with ease, without having to build everything from scratch. It's relatively simple to configure, and the API integration provides flexibility to integrate with our current systems. Its voice quality and natural flow in conversations are also good, making conversations feel less robotic. I also appreciate that it can be used to deal with the most common queries and repetitive calls, which saves the time of our team. Review collected by and hosted on G2.com.

It may take some experimentation to come up with the conversation flow right. At times, what the caller says may be misinterpreted, or the AI may reply in an unnatural manner, particularly if the conversation strays from the expected. Solving these can potentially be longer. Configuring some more advanced use cases can actually present a learning curve, while retaining good response speed, managing interruptions and processing unpredictable user input requires careful testing of the situation. Additional tools for debugging with more details and information on conversation failures would make development more simple. Review collected by and hosted on G2.com.

Retell AI stands out for enabling me to build and deploy realistic AI voice agents quickly, with minimal development effort. The platform delivers high-quality conversational voice interactions, dependable call handling, and smooth integrations with existing systems. I particularly appreciate how straightforward it is to create, test, and refine voice workflows while still keeping conversations natural-sounding. The real-time analytics and call insights are also genuinely useful for improving performance and the overall customer experience, without needing extensive technical expertise. Review collected by and hosted on G2.com.

Pricing can be hard to predict once you start scaling. Costs are often usage-based and billed per minute, and extra components like telephony, LLMs, and voice providers can quickly add to the overall total. Review collected by and hosted on G2.com.

What I like best about Retell AI is its ability to build realistic, responsive AI voice agents with relatively little setup. The natural conversations, low latency, and easy integration with APIs and business workflows make it especially useful for automating customer calls and support. Review collected by and hosted on G2.com.

The main thing I dislike about Retell AI is that the pricing can get expensive as call volume increases. On top of that, it can take a while to fine-tune prompts, voice behavior, and integrations so the conversations feel consistently natural and reliable. Review collected by and hosted on G2.com.

It’s fairly straightforward to build an autonomous AI phone-call agent, including real-time function calling and call transfers. I’m also impressed by the flow-building UX; it feels polished and easy to work with, especially thanks to features like batch calling and integrations with Twilio and Telnyx. Review collected by and hosted on G2.com.

So far, I haven’t disliked anything about it. It has great features, and for me it’s been working well. Review collected by and hosted on G2.com.

What I like most about Retell AI is its ability to create natural, human-like voice conversations while still being highly customizable and developer-friendly. The platform makes it easy to build, deploy, and scale AI voice agents, and its real-time responsiveness and integrations make it practical for real-world business applications. Review collected by and hosted on G2.com.

What I dislike most about Retell AI is that, like many voice AI platforms, it can take some time to fine-tune for very specific use cases. Depending on the workflow, there can be a learning curve around prompt design, call logic, and optimizing conversation flows to make interactions feel truly seamless. Review collected by and hosted on G2.com.