Observe.AI, a provider of Contact Center AI in San Francisco, supports customer experiences and agent performance by helping to analyze interactions, extract sentiment insights and streamline workflows. With Observe.AI, businesses transcribe interactions to coach agents while gaining visibility into customer service operations. Observe.AI technology includes agent assistance, automatic speech recognition, and Natural Language Processing (NLP) to contact centers.
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Verint Speech and Text Analytics
Score 8.4 out of 10
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Verint Speech Analytics is a tool used to transcribe and analyze millions of calls to discover customer insights and improve contact center performance in the cloud.
Observe.ai is incredibly well suited for uncovering trends. The accuracy of their transcripts paired with how easy it is for any user to find insights helps us tap of data you would think would be impossible to get, or at least in a very slow and manual process (listening to call samples, 1 call at a time it’s a thing of the past now).
This simplicity of use and the power of their machine learning and AI applications have proven to be particularly helpful for us to boost our agent performance and training.
Observe.ai is still at the early stages of real-time agent assist, so I would not recommend it right now for that type of application.
In my experience, a lot of the times Verint Speech and Text Analytics is going to be the cheapest solution and this would be a good reason for a Business that does NOT currently have any solution whatsoever to get in at the cheaper price point. I think Verint does things well for a company that has not been in another solution that does it better. And Verint Speech and Text Analytics has a lot of areas that it can help business with that have not been in a different solution
One of the things that I find extremely beneficial about Verint Speech Analytics is the transcription. Sometimes you have an hour call, an hour and a half call, and you don't have time to listen to an hour and a half call. The beauty is that we can find the transcription and then we can look in it. It specifies where if you look in the interaction details in the back of the call, you can actually see the transcription. You can see it'll identify where in the call, what line at what timestamp did that call hit your category and with what string, with what term did it hit. And that is extremely beneficial. And we're trying to go through and find those little points of, sometimes they're points of abrasion, sometimes there are things that are going really well. I love that we have a transcription. I love that we can also see the screens that is vital because a lot of times, and again, not that we're trying to find something bad, but the reality is in any industry, there's in any call center environment, should I say, there's call avoidance. There's always going to be some agents, it's just in any call center, in any industry, it happens.
Or sometimes our agents are just struggling. And if you see in real life, for example, a very high silence time, when we notice a trend, we'll start going into those calls and actually looking at those screens and seeing, is silence time call avoidance or could it be the agents are having difficulty utilizing the resources? Are the resources not clear? Is that what the delay is? Are they having trouble trying to find the answer? And a lot of times we found that too. We found they're searching and clicking and searching and clicking and it's because they just didn't know where to go. So that is a coaching opportunity. And sometimes it's a coaching opportunity, not so much in a positive way because they're purchasing things from Amazon. But I think, like I said, that's inherent in any call center environment. I do find the screens, the transcription, the trend analysis that's available within speech, there are so many things I could literally sit here and talk to you for quite some time.
We love it. And I'm even more excited personally now because I learned so much, as I was saying, about being in the cloud and being in that open-source environment where all of these enhancements that Verint has. And they're so often that they enhance their products and their offering now these little bots and AI to help with all of these different aspects, but that's only available if you're in the cloud and the open source. So there's a lot of benefit in being in prem, in net platform, which is where we are. And we were able to provide a lot of meaningful insight and guidance into a lot of different pain points in the company. But I anticipate, and I have full confidence, that we'd be a much more effective team once we're able to move into the cloud. So I'm very hopeful for that. I'm anticipating what else we could discover.
Automated scrubbing of PCI and PII data from transcription transcripts and recordings. Using AI to detect the payment screens in a real time manner vs having to program triggers.
Easier way to bulk export transcriptions and recordings for our legal teams.
We are very satisfied with the features, support, follow up and value that Observe.ai has brought to our organization. They are also very easy to deal with and very willing to listen to recommendations to help boost the solution.
Their UI is very easy to navigate and understand. Most features are easily accessible and they seem well balanced and connected with each other. Users at our company have been trained with good proficiency levels in just a few hours, and high proficiency can be achieved in a week or less if you spend the time to practice.
Easy to use, the language model can be custom-tuned to your company's specific lingo and terms. It also has great front-end reporting and ease of back-end custom reports and integrations to the rest of the Verint ecosystem. This is a one-stop shop for great insights and a stepping stone to much more.
We did not have anything like this before but we did go through a long review and found out no other company had everything we needed. With our security and technology department we did decide that this was the best product for our business. Have all great thing to say and would recommend this to everyone
The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues
We are still developing ROI; we have a lot of data, but it's hard to get insights from the data at times. Adoption is something we are working on evaluating.
We have alerts that have saved us $ on benefit quoting errors.
