14% Productivity Improvements in Customer Service with ChatGPT

14% Productivity Improvements in Customer Service with ChatGPT

A new study just came out from The National Bureau of Economic Research, and the conclusion is that if you work with customer service, you can improve your productivity by 14% with minimum investment in AI and GPT-based cognitive assistants such as our AI Expert System.

The study was conducted by giving customer service agents access to GPT-based systems, providing cognitive assistance, while still keeping the human being as the intermediary between the AI and the end client. Hence, instead of replacing the human, the human was given assisting tools based upon GPT and AI that allowed them to ask these systems for help, while the humans themselves answered the end client seeking help.

The study concluded with that such systems resulted in a 14% productivity improvement

Customer Service improvements by leveraging AI

I wrote another article a couple of days ago about why you need to leverage AI in your business that you might want to read, but NBER's study now proves what I guess we've all already known as a fact for a long time. Below is an infomercial about our AI Expert Systems, and how they can be used in your Customer Service department.

Adapt or Die

For a long time we've been running around and saying the following:

AI will not replace humans, humans with AI will replace humans without AI

We don't believe that AI will inevitably replace human beings, at least not for now - However we do believe that if your opinion about AI is based upon fear mongering and superstitious belief systems, you will inevitably be up for a "rough ride". Because all your peers that are not afraid of it, and instead are leveraging AI in their business to improve their processes, will make you and your colleagues feel like an obsolete dinosaur.

Helping companies adapt to AI and the new world is literally our business. We can install such AI Expert Systems for your organisation quite easily. In fact, our starting price is $300 per month. This implies that if you've got 10 customer service agents working full time, you end up getting ...

1.4 additional full time employees for $300 per month

Needless to say, but of course the company applying the above changes to their processes will be the companies surviving - While those holding back on such changes will inevitable go extinct.

Additional findings

Another crucial finding was that the quality improvements of in particular service agents having recently started, dramatically increased. This was because their AI Expert System was based upon existing questions and answers originating from clients needing help, where help had already been previously provided for similar questions answered by their senior staff.

This changed the tone and voice of the younger customer service agents, allowing these to "adopt" the style of the senior agents, resulting in dramatically increasing QoS or Quality of Services. We've known this for a long time of course, but it feels great having actual numbers to now scientifically back up our claims, proving we were right all along! 😁

Such changes of course makes your company much less dependent upon retaining your existing staff - And of course in a world where "the big resignation" is a real thing, and staff moves on to new jobs often within months after having started, becomes a strategic advantage for your ability to continue delivering high quality services, regardless of your employee retention rate. If you want to get started with such systems, realise this is literally our area of expertise, and we've delivered such mature systems to many clients all over the world now for a long time. Contact us below if you want to adapt to the new world.

Tage Leander Hansen

Tage Leander Hansen I am the CEO and Co-Founder of AINIRO.IO AS together with Aria. I write about Machine Learning, AI, and how to help organizations adopt said technologies. You can follow me on LinkedIn if you want to read more of what I write.

Published 2. Jun 2023

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