XAPP AI BLOG

As companies look to integrate conversational AI solutions into their existing tech stacks, it can be difficult to understand how to prioritize ever-evolving customer expectations against the needs of the business, as they relate to this technology. It’s hard to determine whether or not the conversational AI solution you’re considering will be able to flex and scale as needed. To do this the right way, it’s important to ask a few key questions before you build.

It’s no secret that customers seek out and become more loyal to companies that offer better experiences. In the digital world, they want answers to their questions and solutions to their problems quickly and easily, without having to go through the click-and-scroll rigamarole we’ve all grown used to when using online content. While some businesses have responded by adding live chat tools to lend support, many have limited hours and long wait times. Over the years, a new option has emerged: self-service tools and Intelligent Virtual Assistants (IVAs) powered by Conversational AI technologies that let humans talk to computers the way they would talk to another human.
To do this the right way, it’s important to ask a few key questions before you build.

The benefits of a well executed IVA can range from lowered operating costs to improved conversion rates and the ability to use conversational data to help guide future site or app improvements. The key part of that sentence is “a well executed IVA” because all of the technology in the world means nothing if it doesn’t benefit the user in some way.

To do this the right way, it’s important to ask a few key questions before you build.

The benefits of a well executed IVA can range from lowered operating costs to improved conversion rates and the ability to use conversational data to help guide future site or app improvements. The key part of that sentence is “a well executed IVA” because all of the technology in the world means nothing if it doesn’t benefit the user in some way.

To do this the right way, it’s important to ask a few key questions before you build.

One of the most valuable digital tools your organization can offer is a robust on-site search function. When done properly, on-site search can provide powerful insight into your users’ needs and help you tailor content to meet those needs. By focusing on three key areas, you can improve the value of your on-site search implementation.

Artificial Intelligence powered digital self-service makes it easy for organizations to provide greater visibility and access to the information people need.

In a digital world that is ever-evolving, intelligent search technology is quietly driving a huge shift in web user experience expectations.

Customer expectations and more accessible AI are pushing Conversational AI to grow from simple self-service chatbots to full-service Intelligent Virtual Assistants.

Congratulations, you’ve adopted some strategies and techniques we’ve covered in the previous articles. You’ve vastly improved the ability of digital-first users to find what they’re looking for, and you’ve automated your lead capturing mechanisms and sales workflows.

There’s a final step: servicing, and retaining those customers you’ve fought so hard to acquire. It’s crucial that you put the same level of effort into customer retention and satisfaction as other chores towards the top of the funnel.

All organizations are struggling with staffing shortages, and strained resources to meet these expectations. Sales teams in particular, are under tremendous pressure to grow. They need assistance in the form of quality lead capturing, and efficient workflows to scale. Read on to learn how to automate the process of generating leads for your business through your own website, or other digital property.