What motivates us here at raffle.ai? We don’t want to waste people’s time having fake “conversations,” but instead deliver time-saving answers to their questions.
Good AI shouldn’t just mimic humans, it should find a way to serve them and work alongside them. It should find practical answers to their questions and deliver them quickly.
It's not there for a conversation, it's there to solve a business problem.
That’s why we’ll never sell a “chatbot” solution. We’ve blogged about their limitations a number of times, but it’s important to remind ourselves why we think they don’t work:
1. They mean loads of manual work
Each time you set up a chatbot, someone (or several people) needs to sit and manually program a decision tree for each question from a customer.
When we tell potential clients that our solutions require next to no manual work, they often won’t believe us, having used a chatbot before.
This means that, unlike our products, there’s no machine learning going on and there’s very little understanding of what the customer has actually asked.
3. It’s a poor customer experience.
Frustrating experiences are common with chatbots
Chatbots are reallyannoying! Being forced to “converse” with something you know is not actually a human and frequently misunderstands what you say is not the kind of customer experience you want.
Add to this it frequently doesn’t even remotely answer your questions, and you have a problem.
There’s also an issue with how the information is presented to the customer. Focusing your response on a small chat box is just bad UI.
It’s also worth reminding ourselves of the benefits AI should bring us:
Eliminate repetitive and tedious tasks
Artificial Intelligence has been heralded as the savior of humanity, because it can liberate humans from boring jobs, allowing them to perform tasks they excel in.
But if you replace the manual work of a customer agent with the manual work of someone who programs a chatbot, what have you gained?
State-of-the-art AI is the future of customer interactions. The ability to learn from previous interactions and constantly train on new data, will actually free up time for humans.
Productivity and efficiency
Good AI should also help organizations and individuals perform better. Our products dramatically reduce the amount of support requests coming in to our clients and allows them to concentrate on improving the quality of their service.
While chatbots have been found to work for specific industries in terms of “deflection,” they’re not achieving anywhere near our levels of self-service or customer uptake rates.
One of the best advantages of AI people highlight is that it is error free. Industries and organizations usually must leave a significant room for human error because it’s normal to see this in manual human labor. Real AI should eliminate errors and bias.
However, if — as with chatbots — your technology is manually programmed by a human operator, you’ll introduce the same likelihood of errors and bias, just in an automated way.
Alternatives to chatbots? More bots...
There are a few supposed alternatives to chatbots on the market at the moment:
Smart bots - these are chatbots that are a little more intelligent than a traditional chatbot, perhaps with some natural language processing (NLP) elements to help recognize customer questions better.
FAQ bots - An FAQ bot is a chatbot which answers the most frequent inquiries that your visitors may have.
Others include Answer bots and Resolution bots.
However, we believe that anything with “bot” in the title is fundamentally flawed. Think about what a robot does. You program it to do one specific task (e.g. repetitive work on a production line) really well. It’s not adaptable, and it can’t learn to do something else.
Other concepts, such as Conversational AI, are bandied around. These, however, are mostly just chatbots with perhaps a few extra functions and a fancy name!
Smarter than a chatbot
We believe our raffle Web product is unique in the marketplace. It combines state-of-the-art AI (Artificial Intelligence that’s taken from the latest developments in the technology), NLP technology, machine learning.
More importantly though, it’s designed with the customer in mind. No long conversations with an imitation of a human, and no need to simplify your question: just input your query in “normal” language and go. The answers are delivered instantly, using organizations’ knowledge bases to find the right and most relevant solution to a customer’s problems.
The best part is the minimal setup requirements. While a chatbot could take a year (or more!) to launch, raffle Web is up and running within 3 weeks. We believe this combination of advantages makes us industry leaders.
Still using an old-fashioned chatbot?
Find out how raffle Web can provide first-line support on your website and app, without the drawbacks of old technology.
Applying a data-driven approach means we use training data instead of defining rules, distinguishing ourselves from traditional chatbots.
Ole Winther
Apr 15, 2020
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