How is a Home Loan Chatbot a Cloud-Native App?
1 min read
Using the cloud-native model to focus on customer needs
Microservice-based architectures and DevOps methods for app development are central to using the cloud-native model. In leveraging cloud technologies to rapidly deliver new and updated user experiences that advance core business requirements and strategies, the main goal is to remain focused on customer needs. This ensures that technology choices tightly support a use case that itself reflects and advocates for what customers are expecting.
Differences between organizations that use the same cloud technologies make it obvious there will be many specific ways to do cloud-native app development. Customizing the cloud-native model is the big challenge.
UBank’s cloud-native approach to building a home load chatbot
In figuring out the most viable cloud-native app for your business to build or modify, it helps to have examples. Watch the video to see how UBank used AI technology to create a chatbot that boosted their online home loan application completion rate by 15%.
We also offer a downloadable guide for developers on the benefits and challenges of using a cloud-native approach.
What is your minimum viable product?
What’s the essential minimum viable product (MVP) that your team needs to create now? That’s the question that will always bring focus back to what end users need. User experience is how an app provides opportunities for customers of a particular business service to meet their needs. And changing some or all of the microservices that represent the business logic of a customer-facing service is how teams implement the MVP that they’ve determined will delight their customers.