Whitepaper | Banking and Financial Services

Chatbots for Business Impact: What You Need to Know

Learn how to interact with your customers while you sleep leveraging AI and chatbots for business. Download our whitepaper today!

JUNE 14, 2018

Fueled by the rise of instant messaging and the blossoming of artificial intelligence (AI) technologies such as natural language processing (NLP) and machine learning, a new age of automated user interaction is upon us.

This intersection of machine learning AI and live chat messaging is shaping the future of customer satisfaction, and conversational chatbots are perfectly positioned to assist with customer support. Chatbots have the exciting potential to conveniently engage both customers and workforce, simplifying the user experience in support functions, sales, marketing, human resources, finance, and procurement.

The hype around chatbot development today is powered by the promise of faster, scalable solutions at a fraction of the cost. With AI powered virtual assistance, customer satisfaction is increased with live chat customer service while cutting down on labor. When built and maintained correctly, chatbots are showing excellent potential to improve the customer experience – but does your organization understand all that’s required to successfully deploy bots for maximum business impact?

This white paper will serve as a playbook – introducing chatbots, exploring some of the main reasons behind their current popularity, and helping you understand where and when they can deliver better results. This paper will also discuss the team members required to successfully oversee a chatbot project and provide tips to keep the chatbot development project moving forward post-launch.

Businesses today are differentiated by customer experience, and chatbot usage is increasing because of the need to create smarter, low-friction customer interactions faster than ever before.

Fueled by the rise of instant messaging and the blossoming of artificial intelligence (AI) technologies such as natural language processing (NLP) and machine learning, a new age of automated user interaction is upon us.

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