One question that we often hear is, “How is Q&A in Talla different than search?” While both are ways of finding information that you’re looking for, Q&A gives users a specific answer to their question, whereas search provides a list of possible places that your answer might be. Search makes you do the work of finding the answer by digging through the results. Ask yourself: Would you rather have the treasure in front of you or a handful of maps that might lead to it?
“You have to approach technology as: How does it benefit someone’s day? You’re trying to save them time or money or improve their general outlook on their customers. How do you take AI and make processes better, make the information better, make the workflows better?” -- Jim O’Neill
This is the second in a series of Talla customer spotlights highlighting the real ways that companies are using AI, chatbots, and automation to make their employees more productive and increase engagement. We recently interviewed rLoop’s Co-Founder and Project Manager Brent Lessard to learn more about how they use Talla.
We live in the age of the customer; quality of product alone no longer determines success. Customers have endless options. Now more than ever, it’s the customer experience that is the ultimate differentiator with the power to make or break a business.
This is the first in a series of Talla customer spotlights highlighting the real ways that companies are using AI, chatbots, and automation to make their employees more productive, generate more revenue, and decrease costs. We recently spoke with Botkeeper CEO Enrico Palmerino to learn more about how they use Talla to do just that.
Time is money, and there is perhaps no more expensive time than that spent on customer support. And if you're not using artificial intelligence to help with customer support, you're spending far more than you should supporting your customers.
No happy customer contacts your support team. The customer calls support when something is wrong, and the longer it takes to fix -- and the more frustrating the support experience -- the more customer good will you exhaust. This is before you calculate the actual cost of paying support staff to deal with those unhappy customers.
No matter your industry or role, you’ve heard a lot about the promise of AI
You’ve probably also seen vendors that have added an AI message on top of their existing solutions — vendors have been hyping its capabilities for years, and it is difficult to parse truth from, well, BS. Sales is no exception, legacy applications have been given a quick AI makeover.
Accurate and complete sales documentation is critical to closing deals, but capturing all the data that sales teams need is a complex, time-consuming job that is too-often neglected. Artificial intelligence is ready to step in to ensure that a sales representative never has to jeopardize a sale by saying, "I don't know."
For the past 15 years, every content management system and enterprise knowledge base has been built around some version of Search Engine Optimization (SEO) to make it easier for readers to find the valuable data hidden in your documentation. But that's a passive approach to making your data discoverable and relies on the hope that the answers your employees and customers need have already been documented and published.
First impressions matter, which is why Customer Success Teams are crucially important to the success of your company. They are often the first non-salespersons your customers meet, and they make sure that customers are satisfied and, well, successful with your solution.