With the pressure to increase revenue and reduce costs while providing better customer service, businesses are turning their focus to artificial intelligence. In fact, according to Forrester, within the next 6-12 months, 75 percent of organizations will have an AI initiative in course.
The reason is simple: more than ever, AI is becoming a competitive strategy advantage by helping companies:
- Automating business processes and, thus, increasing efficiency
- Lowering costs up to 50 percent due to the increased productivity and personalized experiences in the way customers interact with your business.
From all the currently available AI-powered options, companies are improving customer service with conversational interfaces and chatbots. We’re only human, after all. We want to interact with each other, in a conversational style, but we also want that response to be instant, in the most convenient and effortless way possible. The thing about chatbots is that they can provide you that carefree engagement that fits your customer’s busy schedules.
Some of the most common use cases of chatbots include:
- Scaling the first line of support: rather than having individuals respond to very specific needs, companies are using chatbots with AI-infused technology to answer the most common questions of users and, thus, decrease traffic to other support channels.
- Engaging with customers: customers want intuitive and immediate experiences; they don’t want to fill out a form to put in a request when asking for simple information. With chatbots, you can give your customers feedback in a very conversational style.
- Supporting employees: a lot of the information your employees need to do their job can be stored in knowledge bases or Q&A formats. Chatbots can help them deliver that information much more efficiently by having an interface where they can just query and ask in a natural way.
The problem is, conversational interfaces are still hard to implement effectively and reliably, particularly when dealing with several data sources. To do so, you need skilled and knowledgeable developers that are not only expensive but also hard to find.
That’s where low-code can help you.
Building an Intelligent Chatbot with Low-Code
To help companies surpass the challenge that it is to build chatbots and improve customer service, OutSystems recently launched a set of a set of artificial intelligence capabilities, including the OutSystems.AI Chatbot component.
OutSystems.AI Chatbot is available for free in the OutSystems Forge and provides you an integrated and complete framework to implement rich, omnichannel conversational experiences.
If you want to see how easy it is to build a chatbot just like this one, I invite you to take a look at my recent demo, How to Build Intelligent Chatbots using OutSystems AI. In about 20 minutes of development time, you’ll see how to create a chatbot to place on a marketing event landing page, program it to recognize and respond to a variety of common questions and requests, and even customize it with your brand style.
Two key integrations that I utilized during the creation of the chatbot were Microsoft Azure and LUIS.AI. Both of these services were integral in successfully setting up and deploying a functioning chatbot.
If you’re interested to learn more about chatbots and see the exact steps I took to create it, check out the entire demo here.