Verse.ai

Transcription:
Transcripts are generated using a combination of speech recognition software and human transcribers, and may contain errors. Please check the corresponding audio for the authoritative record.

Damien Swendsen (00:08):
Thank you very much. We've seen some great tech today, but I'd like to take a step back into the "lead to lock" journey, specifically one of the earlier parts: customer conversations. Verse is a conversational AI platform that helps you have better conversations with your customers. And it's not just conversations for conversation's sake. These are conversations to help drive real business impact, specifically the ability to help you make money, save money, and save time. That's exactly why our hundreds of customers, including three out of the four top retail lenders, leverage Verse. They leverage Verse to help them have more consistent, immediate, and personalized conversations resulting in higher conversion rates, in addition to having a higher volume of conversations so that their LOs can go through many more of these applications at a higher clip.

(01:18):
We also help them save money because they're only having the conversations that matter at the right time, and because they're not having to manage this entire process themselves. We are managing it. We are creating the scripts with our customers, AB testing, and optimizing the entire time. So how do we do this? We take our AI and we couple it with the most effective forms of communication today. That is not only phone and email, but specifically SMS texting. Why texting? It's because 98% of all texts are opened, and 90% of all texts are opened within three minutes of being sent. So if you want to have a message sent, delivered, and read as quickly as possible, you need to leverage texting.

(02:16):
We can then take those conversations and place them anywhere in your sales journey—anywhere from lead to lock. Sure, we can qualify leads automatically, but we can have any conversation with your customers, including existing customers, reminders, follow-ups, aged leads, and live leads, to get the right message to the right person at the right time. We follow this up with closed-loop reporting through intuitive dashboards with lead analytics and insights to help you make better, faster decisions. I'm going to jump into the demo right now, but I'd love for you to join me. If everyone could take out their phones, I invite you to click on the QR code and start on the journey with me. You will be seeing the customer experience while I will be showing the admin experience. These are slightly different conversations, but we thought it would be good for everyone to experience this.

(03:29):
All right, I'll leave this up just for a minute or two. I still see a couple of phones. All right, here we go. If everyone would want to fill out the four fields on that webpage, I'll go into ours. This is our admin portal. It's actually fairly intuitive and simple. You can see on the left-hand side some basic information about a lead that came in. This lead could be coming in through a website, a scan at a show like today, or from a flat file. It doesn't matter to us based on the data that comes in. We can see this is Shauna Barrows; based on her demographic information, her actions, and where the lead originated, our AI knows which conversation to have and what the goal of that conversation is.

(04:27):
For this one, for example, the goal is to qualify Shauna and, if she is qualified, to set up an appointment with an LO at the end. We've looked at the left-hand side with Shauna's information; now we have chat history on the right-hand side. We can see a couple of interactions we've had. We've reached out to Shauna, and the gold boxes represent text messages. We've reached out to her a couple of times and she hasn't responded, so we move over to email, which is the blue box. We continue on, but she still didn't respond to that, so we go back to texting. This is all predetermined. We are "on rails," so we can't have hallucinations with our AI. Then we go back to texting and all of a sudden Shauna says, "Yes, thank you very much. I actually do want to talk to you."

(05:23):
It's not just when you are ready to talk to someone; it's when the consumer is ready. We immediately engage with Shauna and start asking these qualification questions: Is this your first time getting pre-approved? Have you found a home yet? What's your timing? What type of home are you looking for? What is your employment history and your credit score? We can see throughout this entire conversation, we are gathering all the pertinent and critical data to be able to qualify Shauna as either available or not qualified for a loan. It looks as though she is. If she were not, then we would take another nurture path. Our AI knows exactly that, and based on her answers, we will take different paths. We can see all that information and we're able to set up an appointment with the LO at a time that's convenient for her and a time that the LO is available.

(06:23):
Now, if we go back to the left-hand side on these conversation details, we are taking that unstructured text conversation and putting it into a structured format to be able to put into your CRM or whatever system you have. This gives you a hundred percent accurate read and write-back into your systems so that you can make better decisions based on accurate data. We also have a conversation summary. If this did not result in an appointment but instead a phone call, which is another way we can end these conversations, we have the summary so that your representatives can pick up the phone and see all the answers very quickly. But that's not enough. This is just an example of one type of conversation. We also have full analytics to make these conversations actionable, ensuring you know exactly how much time you've saved, how much money you've saved, and how much revenue you've generated based on the conversations Verse has helped you have. If you would like to help your companies have better conversations, make money, save money, and save time, please visit us at Booth eight. Thank you very much.