HGS Digital

Interaction automation

Automating meaningful interactions with customers using their preferred channels

The changing face of customer interactions

Customers often contact brands with issues and complaints. The response time in such cases is a critical factor in customer satisfaction.

Interaction automation focuses on intelligently automating customer-facing processes. The automation of communications, through interaction bots, enables modern-day brands to chat with their customers any time, any channel, all while triggering back-end activities automatically.

Interaction bots use natural language processing (NLP) and machine learning (ML) to understand customers. Making machines understand context, emotions, sarcasm, and other complex human attributes is an ongoing learning exercise. The level of insight and understanding that a machine can achieve – which humans have always been able to do – is what makes interaction automation the future of contact centers.

Two people hold cell phones & text with chatbots, a preference identified by interaction automation

Type of bots versus business complexity

Regular chatbots

These are meant for rule-based interactions where bots answer simple queries based on frequently answered questions, most of it based on the existing knowledgebase.

Interactive chatbots

These bots tap into a database and/or knowledgebase and use ML, NLP, deep neural networks, etc. to understand the context of the interaction to help customers and also trigger relevant back-end activities to carry out transactions, like order-placing.

Messaging bots

These are text-based interactions using modern media, such as text-based apps that are already found in customers’ phones. This reduces the dependence on complicated technology for communication and helps carry out the conversation at the customers’ convenience.

Virtual bots

This type of bot uses voice-assisted apps and tools supported by ML to help customers in query resolutions, giving way to a new era in business communication.

Industries and verticals who can benefit from robotic process automation

A win-win situation

Interaction automation can be applied to all industries and verticals. Here are a few advantages of an interaction bot, both from a customer and a business perspective.

Customer perspective:

Customers prefer digital modes to traditional modes of interaction
Chatbots are able to engage with customers in a natural way
Multiple customer requests can be handled by a chatbot at the same time
There are no time restrictions – chatbots are available 24/7
Chatbots ensure better response time, leading to higher satisfaction
They help customers self-serve more efficiently

Business perspective:

Chatbots are cost effective and efficient
Chatbots are continuously learning which leads to better interactions in the future
Chatbots offer data points that can be leveraged across the customer lifecycle
They reduce the effort on agents by smart classification of queries
Employees can focus on upscaling opportunities for more wallet share

Here’s how it works

At the heart of an interaction bot, there are ML, NLP, and deep neural network algorithms that manage customer interactions. Using artificial intelligence, these bots are capable of understanding incoming data in any form, be it text, image, voice, or video.

Depending on the customer journey and the stage of the interaction, a number of interventions can be provided through chatbots, virtual agents, or even RPA at the back-end, all triggered by the front-end activities. To avoid trapping customers in machine interventions, we always provide the ability to switch to a different mode of interaction.

Our interaction automation solutions are designed to help customers smoothly transition to another channel or human intervention when required. While doing so, we ensure that the entire interaction history is provided as a background to the agent to avoid customers repeating themselves.

The interactions can either result in instant resolution or in RPA to carry out the desired back-end activities (e.g., placing an order, making a cancellation, sending documents or receipts). This not only improves the turnaround time and CSAT but also reduces the human intervention.

Bots and Brains at the heart of customer service

Intelligent automation at the helm of change

The scope and strategy for automation may vary depending on the type of company, size, and the process design. With experience in automating across verticals, processes, and scale of operations, we partner with you to find solutions that will yield significant ROI.

CX bots and chatbots

Innovate and improve with HGS automation services

We provide end-to-end automation.

Initially, we used RPA solutions only for clients but quickly institutionalized automation within our own business. Today, we use ML and natural language processing (NLP) as a virtual workforce that is capable of executing tasks and learning from data sets, including decisions based on emotion detection.

Automation strategy

Identifying the scope of transformation and type of automation leading to clear business value

Business process re-engineering

Workflow design and development to improve quality, innovation, and productivity

Automated Enterprise

Automating rule-based tasks in processes that involve a high-level interaction between software and humans

Cognitive automation

Machine-led digitization techniques for data extraction from structured, semi-structured, and unstructured sources

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