Interface-ai

Transcription:

Cortez Adams (00:11):

All right. Hey, good morning everyone. Welcome to the American Banker Conference. I'm Cortez Adams, Head of Partnerships at Interface AI. I have almost two decades of experience in the digital banking, payments, credit union, and financial services space. I bring all that to Interface AI, helping us drive strategy, connecting with the right partners, and enhancing our overall ecosystem. Today, I'll give you a brief demo of our agentic and generative AI solutions for credit unions and community banks. I've got Laura from my team logged in. She's going to help me drive the demo today. Essentially, we'll talk about three critical use cases. The first one we'll show you today is how we're leveraging our generative AI technology to help you drive chat experiences with a unique twist. The first thing here is I'm a student looking for a credit card, looking to save money.

(01:00):

I want to be able to travel. I want to be able to move abroad. I want to be able to have all the features I'm looking for in this particular card. Our technology is now going to leverage agentic and generative AI to scrub the website, saving me time, energy, and effort, reducing friction at each step. It's going to navigate to the appropriate screen, highlight specifically within our application and our product guide, product documentation, or on the site, to let me know the exact card features it's identified for me. The next step is really powerful. It's going to be able to prompt me to upload my ID or any other proof of documentation that's required for this credit application. I'm going to upload it, and then our AI technology is going to extrapolate all the data from the card, from the statement, from your income, and populate the application.

(01:49):

We're now going to connect over to your LOS system—whether it be MeridianLink, a partnership with SWBC, Terrana, or FICS—to be able to auto-populate all that, pass it through the API, and quickly connect it all together. We've now processed a credit card application and uploaded documentation in a moment. Literally, that took 90 seconds. Fantastic. Our next use case will kind of walk through the next step, the next iteration in leveraging generative AI technology. Here's a look at our digital banking experience. We've revamped it, completely changing the way you do digital banking today. You no longer need to connect third-party aggregators for money movement like Yodlee, MX, or Plaid to bring in external accounts. We can now handle that with agentic AI and RPA. So, here I'm going to leverage our financial assistant tool that's built into our digital banking app, called Sphere.

(02:47):

We're going to walk through a financial use case that helped me save for college for my 10-year-old son. Obviously, I went to private school, shout out to FDU and Boston University, my alma mater, so any East Coast people in the building, let's just say it's expensive. So, I'm going to be planning a monthly contribution of about $3,000. The financial planner is like Chat GPT, but it's trained with the insights of your financial backing of your core, all your third-party accounts, and your entire relationships. I can even add in my spouse's account, my joint account, very simply and easily. I'll log in and navigate to my Safe Credit Union account, which is now an external account to the institution I'm starting with today. I'm going to leverage agentic AI to log in one time with my Interface AI ID. It's going to resume the transaction.

(03:34):

Again, this is all happening without Plaid, without MX, without a third-party data aggregator. So, one less expense. I'm now going to bring all that in here within the equation. I'm going to be potentially now looking at a 529 plan to get me prepared to save for Junior to go off to this fancy private school. The great thing here is all the external tasks that are going to happen for research can happen asynchronously, which means you can go do something else. You can come back later. You can essentially walk away, close your laptop, go do something else. You'll get a push notification to your device—to your cell phone or to your email—or the next time you log back in, you'll see that the task is now completed. We can connect to the core, open the savings account, pop up the appropriate disclaimer, and now it's done.

(04:21):

Savings and investments made easy, really easy to execute and share these externally, all within one digital banking experience. Again, this is meant to be an AI-first digital banking experience and the first in the industry. Today, we're doing 1.6 million conversations on our AI platform, helping both credit unions and community banks. This is the next step. One more level I'll show you today. This is called Nexus. This is our look at revamping the entire call center operation with Nexus. You take one single rep and make them multi-threaded. Samantha can now log in, look at a wire transfer, and AI has already taken care of six of the seven steps. We're going to bring in Samantha as the human in the loop to just do the final piece of authentication. It's low risk, it's repetitive. Everything is good to go, so I'm going to hit authorize and get it out the door.

(05:14):

Again, AI took care of the first six. Samantha jumped in and just did the final step. Fantastic. The next use case here is where Samantha is going to have a callback request for a client. Maybe this is a loan application. We have the ability to connect into third-party systems—Fiserv, FIS, you name it—to be able to do payment authentications and even callback flows for any next-level or any rich conversations that require that human handholding. We can schedule that call here within our platform as well. Then the last use case, we'll go ahead and end the call here, Laura. The last use case here for Samantha for our call center transformation tool is going to be potentially just looking at a credit limit increase. How great is it to already look at the credit score? AI already identified this is a low-risk, great client.

(06:02):

We want to continue to build that partnership with them. We can approve it simply and easily. Again, these three use cases we walked through today—from a chat experience, from a voice AI experience, and even from an employee perspective—are all powered by our generative and agentic AI technology. We thank you so much for joining me for this brief demo. If you want to see anything more, we've got a booth over here to the left. We'd love to schedule you for a private one-on-one demo. Thank you. It's been great.