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Sabio Group Executive Interview
Joe O’Brien, Global Corporate Communications Manager, Sabio Group
Could ChatGPT herald the next stage for CX AI adoption?
Joe O’Brien, Global Corporate Communications Manager, Sabio Group
Over the last few weeks, you would have heard lots of noise
about ChatGPT, the new model for conversational AI that was launched by OpenAI
– the AI research and deployment company – at the end of November.
What is particularly striking about ChatGPT is that it took just five days to
reach one million signed-up users, and it’s estimated that figure may already
be over two million. In comparison, Instagram took three months to reach that
number, Spotify five months, and Twitter two years.
So, what’s so exciting about just another conversational AI
tool? Why is it clearly capturing so much attention? And what’s going on in the
AI market, when just last month some commentators were questioning chatbot
sector momentum – particularly with Amazon stripping costs and people out of
its Alexa team?
What’s so different about ChatGPT?
OpenAI has designed ChatGPT to be as accessible as possible, with a focus on
optimising its language models for dialogue. This should make it possible for
the model to answer follow-up questions, challenge incorrect statements, reject
inappropriate requests and even admit its mistakes.
The ChatGPT model sits in the ‘emerging generative AI ‘category and has been
designed to offer human-like conversations across a range of diverse topics
according to its domain-specific model building and training. Not limited to
standard text interactions, ChatGPT can write poetry, help debug code and even
troubleshoot IT issues. The way that the model is trained helps determine how
questions are answered. Other OpenAI examples of generative AI include the
DALL.E neural network that uses the same underlying GPT-3 technology to
generate images from text descriptions.
However, unlike existing chatbots that interact with people in a ‘seemingly
intelligent’ conversational manner, the GPT-3 neural network ML model enables
ChatGPT to deliver responses that Gartner suggests: ‘appear to have understood
the question, the content and the context’ of the user’s question.
Unfortunately, models are only ever as good as their
training. So just because ChatGPT might generate answers that come across as
impressively coherent, there’s no certainty that they will always be correct!
Testing ChatGPT’s CX expertise
So to find out more, I thought I would ask ChatGPT some questions from a CX and
customer service perspective. Below are some verbatim excerpts from our ChatGPT
session that certainly demonstrate coherence:
Question 1: How can ChatGPT help contact centres?
ChatGPT answer: ChatGPT is a powerful language model that is trained to respond
to natural language inputs. In a customer service setting, ChatGPT could be
used to assist human agents to answer customer inquiries and provide helpful
information. This could help contact centers to improve the efficiency and
accuracy of their customer service operations. For example, ChatGPT could be
used to quickly provide answers to frequently asked questions, freeing up human
agents to focus on more complex or specialized inquiries. It could also be used
to provide personalized responses to customer inquiries, improving the customer
experience. However, it's important to note that ChatGPT is a tool and should
be used in conjunction with human oversight and judgment to ensure that the
information provided is accurate and helpful.
Question 2: Does ChatGPT work with Conversational AI?
ChatGPT answer: Yes, ChatGPT is a type of conversational AI.
It is a large language model that is trained to generate human-like text
responses to input. This makes it well-suited for use in conversational AI
applications, such as chatbots or virtual assistants. ChatGPT can be integrated
with other conversational AI systems to provide more natural and accurate
responses to user inquiries. This can help improve the overall user experience
and make it easier for users to interact with the AI system. However, it's
important to note that ChatGPT is a tool and should be used in conjunction with
other technologies and human oversight to ensure that the responses it
generates are accurate and helpful.
Question 3: How could contact center agents take advantage of ChatGPT?
ChatGPT answer: Contact center agents can take advantage of
ChatGPT in a number of ways. For example, ChatGPT could be used to quickly
provide answers to frequently asked questions, freeing up human agents to focus
on more complex or specialized inquiries. This could help improve the efficiency
of the contact center and reduce the time that agents spend on routine tasks.
ChatGPT could also be used to provide personalized responses to customer
inquiries, improving the customer experience. This could be especially useful
for handling high volumes of customer interactions, as ChatGPT could help
agents to respond to a larger number of inquiries without sacrificing the
quality of the responses. Additionally, ChatGPT could be used to provide
real-time assistance to human agents, helping them to generate more accurate
and helpful responses to customer inquiries.
Interesting, but caution is key...
Initially these responses look great – addressing the question, coming across
as knowledgeable and informative, and also introducing a note of caution about
the bot’s limitations – as well as the requirement for human oversight and
judgement. One analyst described ChatGPT answers as ‘looking like a student
trying to answer a question without having attended the lecture’. Indeed, this veneer
of confidence could easily convince users that they’re accessing expert insight
without realising that it’s often just well-crafted tech-speak.
Although it’s correct to be cautious, this doesn’t mean that a generative AI
model such as ChatGPT will never be ready for enterprise CX deployments.
It’s more a recognition that this is an AI solution that’s
barely out of the lab. The fact that it’s so easy to use and potentially so
powerful would suggest that AI and automation will only have a more significant
role to play in shaping the customer journeys of the future.
How that will evolve will depend on how effective generative AI tools become in
terms of enabling more cost-effective and intelligent chatbots and web customer
In the meantime, you can try ChatGPT for yourself by registering
Alternatively, you can learn more about how the contact
centre, AI & Automation and CRM landscape is starting to converge by
downloading Sabio’s White paper here.
In addition, we’ll be taking a look at this subject in more
detail at our flagship digital transformation event, Disrupt. To register for
the event and to hear our session - ‘Open AI and Chat GPT; What it means for
CX’ visit our website here.