Conversational Intelligence vs Chatbots: Everything you need to know

Conversational Intelligence vs Chatbots: Everything you need to know

Conversational Intelligence vs Chatbots- Everything you need to know

In today’s digital-driven world, the power of human conversation is almost neglected.

In 2021, an estimated 85% of online visitor interaction is handled without human intervention, making chatbotting systems an integral part of the sales and marketing process.

As humans, we value real human interaction above all else in the customer support process, prospects desire conversational engagement that feels authentic, vivid and memorable – and this goes a long way.

AI technology advancements have caught onto this trend, developing chatbot systems that offer a more ‘real life’ experience: conversational AI. But what is conversational AI? And how does it differ from traditional chatbot technology?

This latest article will offer a 101 guide to everything you need to know about chatbots and conversational AI systems, breaking down why so many businesses are starting to adopt them and how you can implement them into your digital sales strategy moving forward.

What is a Chatbot? 

At its most basic level, a chatbot is a programmed system that gives website visitors the opportunity to interact with a brand using a digital device, as if they were communicating with a human being. Typically, chatbots tend to adopt a text-based approach, through messaging pop-ups or a website-integrated chat interface – allowing the user to hold semi-intelligent conversations and granting streamlined access to common query solutions.

Chatbots have fast-become one of the most popular brand communication channels the world over, increasing a staggering 92% between 2019 and 2020 – and for good reason.

According to Comm100, chatbots handle nearly 70% of customer-led conversations from start to finish, heavily reducing the need for human-based customer service interaction and freeing up the reliance on physical staff significantly.

Generally speaking, when we talk about traditional chatbots we’re referring to a rules-based bot – systems programmed with a predefined workflow built around pre-written questions and automated answers. In layman’s terms, rules-based chatbot conversations exist long before an inquiry is made. The visitor triggers a conversation through a pre-written question and the chatbot guides them through a mapped-out, FAQ-style conversation flow-chart – with no ability to deviate.

Why should I use a Chatbot? 

The answer to this question is simple: Rules-based chatbot measures reduce the strain on providers and consumers.

The traditional customer service model is noisy, chaotic, and highly impractical for the user. Think slow response email systems and the dreaded customer service phone queue.

In Fact:

0 %
Feel frustrated by irrelevant ads from response form entries
0 %
Feel they can't get answers to simple questions
0 %
Say services feel impersonal

The average time spent on hold is 90 seconds, with an estimated 60% of people hanging up within the first minute. Understandably, a consistent problem for businesses. 

The purpose of a rules-based chatbot system is two-fold: they provide an instantaneous resource for simple FAQ-driven questions while also mitigating the reliance on human-led intervention. No two people are the same, and humans introduce a great deal of variance to the question-response process; they don’t follow the same conversation over and over again the same way.

Rules-based chatbots mitigate this variance, streamlining visitor inquiries through a pre-designed problem-answer-response dialogue funnel, and with several core advantages:

Rapid Responses

24/7 Support

87.6% Satisfaction Rate

High Quality Lead Generation

What is Conversational AI?

Conversational AI gives us the ability to communicate directly with computers. A hub for artificial intelligence enabling our devices to simulate highly intelligible, faux-human conversation with us.

This technology exists all around us in our day-to-day experiences. Think: Siri, Google Hub, Amazon Alexa; these are all examples of the growing demand for automated conversational assistance.

Conversational AI chatbots are no different. The AI integrates to allow the chatbot to understand your needs and converse back with you, memorizing what you’ve discussed and comprehending a broad range of input.

For any company with a web presence, chatbots require artificial intelligence to understand the variance offered in human conversation, all while elevating the experience to enable complex actions and better automated assistance. AI takes chatbot to a whole new level, no longer constraining the user with simple text-based messaging. The integration allows prospects to become qualified leads, schedule demos, cancel memberships, close accounts, and upgrade plans, all without human assistance.

How does Conversational AI work? 

Combining natural language processing (NLP) and machine learning (ML), conversational AI develops a constant feedback flow that consistently improves the AI’s conversational understanding.

Developed by advanced algorithms, ML allows the chatbot to increase its capabilities with every input. In short, as the human variance is input, the conversational AI chatbot develops learnings, and the algorithm improves, allowing it to constantly process, understand and converse in a modernized and human way.

But, while machine learning can be beneficial, it isn’t alone in the conversational AI process. When partnered with NLP, the chatbot elevates to a whole new level of human conversational functionality. Through sophisticated, ingrained natural learning technology, NLP furthers the bots’ understanding of language, enabling greater conversational possibilities and furthering the AI to unmatched automated parallels, simulating that human experience with verifiable finite detail.

Why should I use Conversational Intelligence to power my chatbot? 

A Personalized Experience

While not a direct replacement, Conversational AI chatbotting allows companies to retain a sense of brand personality, allowing for an authentic, human conversation without human intervention.

Cost-Effective Customer Care

Use of Conversational AI reduces the reliance on expensive customer service resources – time & staff. Through artificial intelligence, businesses are able to invest staff time into more complex tasks.

Improved User Experience & Customer Experience

By implementing Conversational AI into digital strategy, companies can better respond to emerging visitor questions and needs, projecting better navigation, information resourcefulness and overall user experience.

24/7 Support

A conversational AI chatbot service enables constant personal brand interaction around the clock. It provides a consistent information resource, leaving less room for you to miss a big opportunity.

Data. Data. Data

Customers very rarely talk to a business directly – a genuine, humane chatbot creates this opportunity, providing accessible, detailed and actionable data to uncover client pain points.

Key Differences & Considerations 

There are several primary differences in the chatbot versus conversational AI debate. In its most primitive form, it’s worth establishing that chatbots and conversational AIs aren’t opponents – they work hand-in-hand to elevate user experience.

Conversational AI is an advancement that not only softens the landing where the traditional rules-based chatbot falls short but takes the system to an entirely new level of interactivity.

As we know, a rules-based chatbot is a bounded system with predefined, limited categories. Conversational AI, by comparison, is focused on dialogue systems that allow the chatbot to overcome human variance, offering a better understanding of visitor intent and compensating when the user has an unexpected problem or changes the subjectivity of their request.

We’re no longer constrained by words going back and forth, conversational AI truly opens the door to all kinds of messaging, engagement and actionable possibilities, where Rules-based chatbot systems just don’t come close.

AI Key Differences & Considerations

Final Thoughts

So, Conversational Intelligence vs Chatbots, which should you use? In the long-term, conversational AI is almost always the better offering for a business – revamping the landscape for automated customer service.

Be prepared to spend time mapping out your chat flows and qualifications processes. It requires a dedicated team to set up effectively, but the time spend is well worth the investment. Once set-up, conversational AI can reduce the reliance on human resources, handling everyday tasks with consummate ease.

No matter which system you choose, it’s never worth writing a chatbot out of the question. Don’t leave your prospects without a constant information resource, intelligible or not, chatbots are an assured way of elevating user experience and accessibility.

Looking to improve inbound effectiveness? We can help. We operate as our partners’ front line for a selection, or even all, of their inbound enquiries, driving increased customer satisfaction and greater prospect conversion rates. Leveraging our proven processes, understanding of best practice, rigorous training programmes, and use of industry-leading technology, we can effectively filter inbound enquiries to the seller, or even customer support agent, that will offer the best experience. 

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