Top 6 Ways AI Is Improving Business Productivity in 2021


The current generation of artificial intelligence, which is heavily supported by big data and machine learning platforms, is starting to worm its way into the average workplace. When implemented effectively, it has the potential to reduce operational costs, improve output and productivity, and boost employee satisfaction by taking over many rote and undesirable tasks.

Here are the top six reasons why.

  1. Predictive Sales

With the help of AI, businesses can focus on leads with the greatest potential for success. How?

In practice, the idea is simple, but it requires the support of advanced algorithms and AI-powered solutions to sift through massive datasets. It’s no secret the average business is amassing huge stores of customer and behavioral data. Putting this information to use can mean the difference between a competitive edge and continued failures.

  1. Reviewing and Extracting Information

A rote and undesirable side of any business involves poring over hundreds of documents, papers, and statistics to create valuable insights. In the past, for example, a business would have to collect, analyze, and notate customer invoices to find popular products.

That’s no longer necessary, as digital reporting systems present this information faster and more effectively. But AI and machine learning tools are the next steps in that evolution. They can unlock hidden insights within that digital content by reviewing and extracting critical information that the human eye might have glossed over.

Simply put, AI can be used to collect information from documents to reduce review times and improve operational efficiencies by informing future decisions and events. The technology is already being put to good use in the legal and management industries to aid in contract intelligence.

  1. Leveraging Smart Chatbots

Customer service solutions require a lot of back-and-forth between agents and customers, especially in the initial stages. AI, or more specifically, smart chatbots, can be deployed to handle many of those low-level communication steps, which takes the stress away from employees.

Chatbots can collect names, account details, and basic information about the problems customers are having. If the chatbot cannot provide direct assistance, that information is then relayed to a human rep, who can take over from there.

AI can also be used to create always-on support solutions that tackle simple tasks and problems after hours. A customer might need help finding a support document or tutorial, for example, and the chatbot can direct them appropriately.

  1. Implementing AI Tools

Offering general support through AI tools can boost employee satisfaction, which leads to higher productivity. Automation can be used to replace rote and what would otherwise be considered unproductive tasks, for example, allowing workers to spend time doing what they enjoy more.

These same AI tools can also be leveraged in many unique ways to improve the employee experience. When enmeshed with the internal culture, they can improve employee buy-in and enhance the day-to-day for workers. AI can even be utilized before an employee is hired, by implementing tools that help with the recruitment process.

One tool might recognize when an employee goes above and beyond, for instance, and flag them for a promotion or award. Another might ingest customer reviews to find employees that have been mentioned, by name, consistently.

  1. Automated Call Management

AI can also be used for call management to direct calls to the right people. There’s almost no reason to have your workers sitting by the phone waiting for communications to come in.

A forward-facing system can do that, similar to chatbots, to collect basic information from clients and customers and then direct them to the appropriate department or professionals. In fact, this is one of the best examples of automating repetitive work.

It benefits your call service teams, as well, freeing them up to work with elevated concerns, as opposed to answering every call that comes in regardless of priority.

  1. Real-Time Operations

Traditionally, it would take time to assess and extract insights from incoming data, especially customer reports. In the past, you would have a team dedicated to doing this, who would review invoices, sales information, and much more. When they did come up with something, it would be essentially delayed.

AI and machine learning can be used to do this much faster, and almost instantly in many cases. The data flowing in is constantly being analyzed and processed to create real-time insights and inform direct action, or creating alerts about suspicious activity or implementing cybersecurity measures. It does this without the same prejudices a human may consciously or unconsciously hold that influence decision-making, although machine bias is a problem that has been recognized and needs to be combatted.

AI is the Future of Business

AI has a lot to offer the business world. And there are many benefits to go along with its adoption, from more accurate, real-time operations to improved employee satisfaction and better customer service opportunities.

What’s more, the technology will only get better from here on out as more companies realize its potential and unlock new use cases.


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