Conversational AI & Automation: The Essential Guide | Cognigy

The Essential Guide to Conversational AI & Automation

Learn Everything About Conversational AI & Automation

About This Guide

This guide is for any organization or leader that has been planning to dive deep into the world of conversational AI and automation. By the end of it, you will be in a comfortable position to answer tricky questions such as:

What is Conversational AI?

As the name suggests, Conversational AI is all about executing automated conversations between computers and humans. Being communication-centric, the technology finds natural use-cases in marketing, sales, or customer service frontends in the form of messaging apps, chatbots, and voice-based assistants. By mimicking the nuances of human conversations, customers get the impression that they are communicating with a human agent instead of a program. The end result? Hyper personalized customer experiences!

To begin using Conversational AI, a great starting point is to integrate your systems with Natural Language Processing (NLP) and Machine Learning (ML). This empowers the tech to accurately interpret customer conversations and automatically respond with relevant answers. Not only does this improve business processes, but it also improves communication experiences at customer-ends.

But what turned conversational AI from a mere trend to a technological pillar? Ease of use and better accessibility top the list. Influenced by today’s on-demand digital economy, customers have a natural tendency to expect quick query resolutions and seamless conversations while interacting with your organization. Add to this the constant shift from phone calls to text-heavy social media channels, such as Facebook and Whatsapp, and the picture becomes clearer!

How Leading Businesses React to These Changes

A leading business today will move ahead of such behavioral shifts and make use of Conversational AI to enhance communication between customers and employees. The benefits of using these tools include:

Value of Conversational AI: Evaluating the Intricate Cogs

While it’s a no-brainer that conversational AI thrives on customer empowerment, here’s a look at everything that it brings to the table:

1. Round-the-Clock Query Resolution

Since it does not require any human intervention, conversational AI can work 24/7. In fact, it does so at a near-instantaneous level, boosting lead conversion rates to as high as 700%. Quick response times naturally lead to better customer satisfaction, minimizing negative experience associated with long response times. Therefore, there is a positive impact on brand perception and reputation that comes with it.

2. Meet Changing Customer Preferences

What is the one thing that we all hate as customers? Being put on hold. With a poorly managed customer communication system, even simple queries can take hours to resolve. This is the main reason why most customers expect live chat features on websites today, with 30% of them preferring it over phone calls.

3. Engaging and Conversational

Let’s face it - no one likes engaging with or being pitched to by bots. By mimicking human-to-human encounters, Conversational AI combats this with a more engagement friendly framework, leading to improved customer retention and business growth!

4. Infinite Scalability

Human-powered call-centers are forever plagued by the hassle of scalability. Deployment of additional agents is a resource-intensive ordeal that takes concentrated effort and time to overcome. Conversational AI brushes aside such hiccups, handling large amounts of customer interactions without increasing HR costs. What’s more? They also free up valuable human agents, empowering them instead to turn their attention to higher-priority tasks!

5. Omni-Channel Customer Experience

Intelligent Conversational AI chatbots know what to do in situations where customers switch platforms. This means that under the right conditions, they can easily differentiate recurring customers from new ones!

Conversational AI – Beyond FAQ Bots

Conversational AI bots lie poles apart from simple FAQ bots. Here are the leading factors that set them apart:

  1. Uses natural language processing to understand customer needs
  2. Understands the context and nuances of every conversation
  3. Solves problems instead of doubling as a search engine
  4. Engages and connects with users through personalized conversations
  5. Makes use of automation capabilities to bridge process gaps

How Conversational AI Works

Conversational AI is all about simplifying the human to machine interaction by understanding user queries and coming up with an appropriate response. The following diagram sheds some light:

Our process kickstarts with the customer using the virtual chat option to engage with an agent (or at least that’s what he/she thinks to be). Meanwhile, the AI smartly works at the backend to decode the conversation and churn out relevant replies.

For instance, imagine a user coming to your website and using the AI-powered chat option. She inputs the phrase “I want to order a pizza with ham.” How would the AI process this? It would first decode the conversation intent (order food) and would then capture details such as food type (pizza) and choice of topping (ham).

Realizing Win-Win Benefits: Better Customer Experiences at Lower Costs

Conversational AI and Automation have transformed into proven business strategies, one that can be used for multiple touchpoints in customer journeys.

Intelligent Automation

The merging of Conversational AI and Intelligent Automation creates unparalleled customer service capabilities. The question is - how to best bridge the gap between Conversational AI and Intelligent Automation?

  1. Organization - Streamline internal and customer-facing processes and incorporate automation when possible.
  2. Seamless End-to-End Automation - Create next-level user interactions via native process automation integration.
  3. Technology - Leverage existing integrations for various systems through an open integration framework.
  4. Processes - Start small and build towards more complex automation solutions.
  5. Data & Analytics - Make data-driven decisions based on user feedback and interactions.
  6. Intelligent Hyper Automation - Bridge the gap in your Intelligent Automation stack to create seamless experiences.

Conversational AI Across the Enterprise

Conversational AI adoption in enterprises often starts small, with developers experimenting with different NLU technologies. However, it is essential to consider various factors such as legal compliance and systems integration to ensure success across multiple projects, departments, and languages.

Conversational AI for Customers

Conversational AI optimizes sales and customer support by helping customers navigate their needs seamlessly.

Conversational AI for Suppliers

It streamlines vendor interactions and clears confusion regarding insurance or invoice statuses effectively.

Conversational AI for Employees

It unlocks value by acting as an IT helpdesk or HR inquiry box, allowing employees to resolve common issues independently.