If you’ve been following industry discussions about Generative AI and RAG, you’re likely already aware that the output is dependent on the inputs. The AI algorithm retrieves the information it deems relevant from the sources available to it and should be able to cite those sources and present them back to the user.
Between news coverage and growing Google search trends, you’d expect to see rapid growth in usage adoption or user sign-ups for Generative AI-powered services. That is, perhaps surprisingly, not the case. With all of the coverage and awareness around Generative AI, where are the users?
We’re living in a time when common business pain points like staffing and training can have uncommon solutions. Technology is creating new options that could not have existed just a couple of years ago. Sometimes the technology (or combination of technologies) enables solutions that were inconceivable just a couple of months ago. RAG has the potential to make the written word experiential, indexable, and immediately available for a variety of different use cases.
AI-powered automation is a safe way for a business struggling to decide whether they can justify the cost of added headcount. We’ve built Optimal Conversation Studio™ for Google Business Messages to help support more efficient lead intake, routing, scoring and internal prioritization. It even includes the ability to handoff to a live person as-needed.
With Generative AI tools that range from supportive AI companions to Google Bard, which pulls information live from the web, companies today have the ability to choose very specific tools that best meet their very specific needs. When you start to dig in, it seems unlikely that every customer of every Conversational AI platform would have their needs best met by one single platform. What is infinitely more likely, and what we’re betting on at XAPP AI, is that the continued innovation in the Generative AI space is going to mean that what works for one company might not work for another.
While AI Digital Messaging is an emerging technology, it builds on the foundation of digital messaging that exploded in popularity over the last few years. For websites, apps, and third-party search, review sites, and aggregators, digital messaging capabilities are no longer just a “nice-to-have.” Digital messaging meets the desire of users to instantly contact a business from wherever they are, whenever they are, and gives businesses a way to connect directly with people to improve customer service and grow sales.
With the explosive growth of these tools has come some operational headaches, especially for small and midsized businesses looking to empower their prospects and customers without dramatically changing their operating structure or incurring additional costs. The typical solution has been to staff these digital messaging tools with live operators to type one to one responses to inquiries as they come in. To meet the expectations of 24/7 availability, some have resorted to off-shoring their customer service, which can lead to a decline in quality and lack of consistency and accuracy. For operators who want to future-proof their operational costs by streamlining and scaling things like inbound sales and customer service, that decline in quality and accountability can be a non-starter. Enter AI Digital Messaging.
An easy way to determine if it makes sense for your company to invest in building from scratch versus buying a pre-engineered product is to ask yourself this:
Is Conversational AI a core competency for our company?
If the answer is no, there’s a strong likelihood that there are vendors available whose products can meet your business needs at a price that makes sense.
At XAPP, we believe that every business should have access to the latest AI technologies. That’s why we’ve created a powerful AI self service solution that answers customers’ questions, builds trust and captures leads; while seamlessly integrating into CRMs and back-end management systems. XAPP AI is pre-engineered for small business industries for easy installation, zero maintenance and rapid return-on-investment (ROI). As an AWS partner with proven Conversational AI competency we take pride in offering enterprise-grade solutions using best-in-class conversational AI technologies..
As people continue to shift into a more digital-first mindset, usage of chatbots in online spaces continues to grow. With 24/7 availability and instantaneous responses, it’s no wonder that there’s a strong consumer desire to use digital self-service tools like chatbots. The businesses who build and implement these tools also benefit from them, with improved operational efficiencies and the ability to scale customer service without growing their team. The benefits for both consumers and businesses rely on the chatbot experience working as expected, which means that it’s vitally important for businesses to understand and meet consumer expectations.
As websites have evolved from online listings to online experiences, user expectations and business needs for operational efficiencies have been the drivers behind a lot of technical innovations. Take for instance, chatbots and intelligent virtual assistants. Something of a novelty just a few short years ago, now over 80% of people have interacted with a chatbot. This form of digital self-service offers users a convenient way to accomplish their task – whatever it may be – quickly and efficiently. Like most things, there are good and bad ways to implement these emerging technologies into your digital strategy.
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