At Talla, we have an automation platform for support teams that automates much of the support process away. It's a combination of a very different knowledge base (although we work with other KBs) and a chatbot. What is unique about our product is that you don't have to script out anything. You don't have to build bot decision trees. The bot learns from your Support documentation like a human would. Then it connects to your other Support systems to take action. Instead of a search engine, it's an action and automation engine that you can control from a web, or chat interface. (Plug: If that sounds cool, get a demo.)
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?
Customer support is one of the most challenging, time-consuming, and costly aspects of any business, but artificial intelligence software can help make your customer support team more efficient. Below are five steps in your tech support workflow that AI can speed up, simplify, or streamline.
Every time technology shifts, people are caught off guard and there is this phase in the market where the new technologies are being thought of using the old frameworks. That’s where we are with AI today. Buyers are looking at enterprise AI software like it’s one of the SaaS solutions they bought in 2014. It’s not.
A properly organized and implemented knowledge base makes your customer support teams more effective and efficient by shortening the time it takes to solve customer problems. With quick, easy access to accurate technical and procedural documentation, your support team can close help tickets faster, improve customer satisfaction, and decrease customer churn.
Your sales, customer success, and support teams are at the front line of your business. They interact with prospects and customers on a daily basis, and those interactions can determine whether a customer purchases (and keeps purchasing) your product or service. Their main tool for driving revenue and decreasing churn is information. And how quickly they can access accurate information has a direct impact on your bottom line. Unfortunately, often times a company’s existing knowledge base is making their teams job harder.
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.
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.
Bad software is a waste of money, but the worst software hurts revenue -- and a bad knowledge base solution can be the worst software of all because it costs you money in ways you can't easily see. And, frankly, most knowledge base solutions on the market today turn out to be secret cost centers.
Artificial intelligence can change that.
There are lots of chatbots on the market today, and many of them are (supposedly) designed to help with customer support. While each type of support bot has its pros and cons, none of them are truly ready to fully replace human support representatives. Understanding that reality is key to implementing your support bot the right way.