Automation vs. AI in Customer Communication: Understanding the Difference
Everywhere you look at the moment, there seems to be something happening with AI or automation. From fears about job losses to innovation breakthroughs in healthcare, AI and automation are possibly the biggest buzzwords of the 21st century so far. Fortunately, customer communication is no different and, as we roll into 2021, there’s a huge amount to be excited about.
What's the Difference?
First, it’d be useful to establish the difference between the two terms because whilst they’re often used interchangeably, they’re actually very different. Automation is the scheduled carrying out of a task by a non-human entity (generally a piece of software code for customer communication) based on pre-set parameters. A great example of automation is Facebook quick replies. A customer can contact your brand and choose their question from a pre-designed list, and then receive the relevant pre-written answer. There’s no learning or judgement call made here, just a simple “if this, then that” style process. AI, however, is much more complex. Generally speaking, there are two types of AI: artificial intelligence and augmented intelligence. Rather than go down the minefield of deeply technical definitions, in this article when we use the term “AI”, we’re referring to a technology which uses its own learning and experience to improve its output. A good example here is a sentiment analysis tool. In Gnatta, we use tools like this to give you real-time insight into your customer’s perception of you. The tool does this by constantly learning to recognise sentiment in an ever-greater vocabulary, and therefore increasing both its range and its accuracy. This is separate from automation as there’s no human manually entering that “bad service” is a negative term; the intelligence deciphers it on its own. Whilst it’s easy to get the technologies confused, this fundamental difference of self-improvement is what separates AI from automation and gives it the much greater potential when it comes to creating new processes and unlocking additional value. But that doesn't mean it’s not worth taking a step back and appreciating automation in detail.
The Uses of Automation
Automation technology isn’t new. The Victoria Line on the London Underground first opened in 1968 and is now running all the way from North London to South London with up to a train a minute at peak hours. Since the line opened, every one of these trains has been driven (at least partially) by the onboard computer, with drivers acting as backups when required. Their main job is to open the doors at the station and provide peace of mind for passengers who aren’t yet fully trusting of self-driven vehicles. Yet, despite automation playing a part in our daily lives, it’s still the most underrated tool available for customer care. At Gnatta, we believe the first step towards a great customer journey is all about getting a system in place to handle everything a human advisor shouldn’t be involved with. For example, historically (and all too often, even now), advisors would need to:
Every one of these tasks can be done easily, and more accurately, by a workflow system working on pre-set conditions. Taking the first instance around assignation, for example, a machine can make a quicker and more accurate decision on which is the highest priority contact taking wait time, subject, the customer, and more into account.
What About AI?
Automation may have been around a long time, but the same is true of AI. Leading experiments such as Deep Blue from IBM began in the 1980’s, and it defeated chess grandmaster Gary Kasparov for the first time in 1997. But these are more marketing and testing experiments. The real change in AI has been the huge increases in accessibility in the last 10 years. The impact of AI on the customer journey has been huge, from bots handling queries through to sentiment and language analysis to provide greater real-time insight. However, it’s important to take that step back before getting the AI bug, and realising the use cases for the technology are generally still at early stages – and that customers still value human interaction. With that in mind, whilst exploring the benefits of a new bot or adding in sentiment analysis is certainly a good idea, it’s important not to let the AI chatter distract from the importance of making sure you’re as automated as possible.
Getting Started With Automation and AI
As with everything, the key when it comes to making the most of both automation and AI is starting right. Whilst both can be daunting due to the sheer scale of opportunity available, there are three quick tips that will get you up and running quickly: Hopefully, this has helped present some of the brilliant opportunities both automation and AI can create. If you’d like to get some personalised insight into how we can use our solutions to improve your customer communication, get in touch today.
As with everything, the key when it comes to making the most of both automation and AI is starting right. Whilst both can be daunting due to the sheer scale of opportunity available, there are three quick tips that will get you up and running quickly:
Hopefully, this has helped present some of the brilliant opportunities both automation and AI can create. If you’d like to get some personalised insight into how we can use our solutions to improve your customer communication, get in touch today.