What is Business Process Automation and How to Do it Right

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Automation, not to be confused with robotics, is one of those popular buzzwords that everyone likes to throw around in the modern business world, but that doesn’t make it any less impactful or transformative. However, true automation is not about the fancy tools with catchy names that you can integrate into your processes, it’s about the underlying technology that makes it truly valuable to the long-term growth and scalability of a company.

Anyone can automate a couple of processes in every department with a simple tool and some code, but few can truly automate their business processes with the kind of advanced and emerging technology that will redefine their brand as a whole. The kind of tech needed for transformative automation in modern business is tech that relies on artificial intelligence, deep learning methodologies, and advanced software and robotics.

Let’s take a look at what business processes you can automate with this tech and how to do it better than the rest.

Customer support is one of those processes that companies can and should automate early on in order to improve customer satisfaction, minimizing brand-consumer friction, and improve lead generation capabilities. The problem is that in order to automate customer support efficiently and effectively in this modern day and age, you need to find a comprehensive, smart tool instead of a simple ticketing tool.

Most tools on the market right now will satisfy only the basic customer support and ticketing needs, which will have marginal effects on customer experience. But, if you opt to invest in a data-focused, AI-driven tool with smart ticketing capabilities, workflow automation for CX staff, and smart analytics, you will be able to truly automate the customer service department for the long haul.

And that’s without talking about machine learning and AI-driven chatbots, which are becoming essential for business automation both internally and externally. More on that in a bit, now let’s take a look at how AI is advancing in the field of content creation.

Content creation has always been a process that was difficult to automate, simply because artificial intelligence tools and solutions were not up to the standards and quality needed to create content that looks, feels, and reads as if it was created by a human being. While AI still has a long way to go, it’s important to note that natural language processing (NLP) is advancing faster than ever, and nowadays we are witnessing AI-driven tools automating content creation and creating high-quality content that can be used instantly for marketing and sales purposes.

While AI will never truly replace content writers and creatives in any industry, it is definitely helping companies automate these processes or at the very least it is empowering creatives to improve their output and the quality of their work. Given the fact how important content creation is for sales, marketing, and many other crucial processes, adopting AI-driven content creation is becoming a differentiating factor for growth-oriented businesses.

Circling back to the problem of customer support and communication, companies are nowadays struggling to automate brand-consumer communication on all platforms – not because there aren’t any tools for that, but because it’s difficult to do it in an organic way. Business leaders need to start using artificial intelligence in Ecommerce, SaaS, and other extremely competitive industries to minimize waste and maximize productivity and CX.

When people engage with a brand, however, they want to talk to a real person, which puts strain on the support and marketing departments. Fortunately, modern marketing automation software that uses artificial intelligence and deep learning methodologies can help companies integrate truly smart chatbot technology that mimics human interactions.

AI-driven chatbots are becoming increasingly intelligent and their machine learning capabilities allow them to improve rapidly while using NLP to engage customers in human-like conversation.

Education is one of the most lucrative marketing opportunities for any local or global business, and smart business leaders know how to leverage automation in education to improve brand visibility, authority, and trust. While there are many tools you can use to automate parts of the education process, it’s important to start using tools that rely on data and artificial intelligence in 2022 and beyond.

Educating your audience through automated webinars and numerous other content types is crucial for business success, but true automation in this field stems from the ability to gather data and derive meaningful insights. Make sure that the automation solutions you use focus on data analytics and use artificial intelligence to generate data-driven reports that you can use to improve the education process in the future.

Lastly, one of the crucial marketing processes that’s getting properly automated with machine learning and artificial intelligence systems is email marketing. Email marketing is important for any business, but like many other marketing processes, it demands time, money, and continuous testing to reduce financial waste.

This is why email campaign management can nowadays be automated with machine learning tools that help create email campaigns, analyze email data and figures, screen domains for security loopholes, and much more. The result is an automated email strategy that does require human oversight, but allows for efficient optimization with data-driven reports and the fact that the system continues to learn and improve with each subsequent campaign.

Needless to say, however, machine learning is starting to automate other marketing processes as well.

Business process automation is a crucial step towards better operational efficiency, reduced financial waste, and sustainable growth in hyper-competitive global markets. While there are many processes you can automate, you should do it using truly transformative, ever-improving smart tech rather than using simple software or hardware solutions that don’t possess real AI capabilities.

This kind of technology is becoming increasingly accessible to businesses of all sizes, and the processes we have talked about today can be easily automated using smarter, AI and ML driven tech.