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Finn AI Report: Eight Considerations for Conversational AI in Banking
Wednesday, December 9, 2020

Training, datasets, and chatbot position all play an important role in AI chatbot success

VANCOUVER, British Columbia, Dec. 1, 2020 /PRNewswire-PRWeb/ -- Finn AI, the world's leading AI-powered conversational banking technology provider, today released its research report: Eight Considerations for Conversational AI in Banking, a primer for banks that are considering implementing AI in their contact center. The report findings will be revealed during a Webinar on December 3, 2020. Register here.

"Throughout the COVID-19 crisis, many organizations have doubled down on their investments in AI, likely because AI can deliver near immediate cost and efficiency savings," said Jake Tyler, CEO of Finn AI. "Yet, while considerable effort has been made to make AI less of a black box and approachable to decision makers, banks still want to better understand all the factors at play when making a product decision."

AI can be financially and technologically accessible to banks of all sizes, and a competitive advantage for banks looking to compete with fintech and large banks in delivering a superior customer experience. Yet, there are several best practices that banks should take into account to increase their chance of success in an AI implementation, including:

    --  Training, not software development, is the largest expense in creating
        an AI chatbot: Large datasets of questions are required to train the bot
        pre-launch. The systems used by Google, Amazon and others have
        tremendous learning capacity but start out with no banking knowledge.
        Banks should instead use a banking specific dataset.
    --  An industry-specific managed service can significantly reduce initial
        and long term lifecycle cost: Using a managed service, specifically one
        built for banking, offloads perpetual training and takes advantage of
        banking knowledge already built into the model. A managed service is by
        far a more cost effective answer throughout the project lifecycle.
    --  AI in the contact center delivers faster service for routine tasks:
        Using AI powered bots to handle contact center volume, banks can realize
        increased efficiency, offer more accessible service and scale quickly.
        Specifically, automating the contact center with AI has the potential to
        offload 75% incoming requests.
    --  AI chatbots enable self service, the desired option for most customers:
        Banks should think of success as giving customers the medium of their
        choice. Establishing multiple channels that address the needs of the
        customer at different times, and with different levels of commitment,
        makes your digital banking experience more sticky.
    --  Chatbot position plays a key role in defining project success: To the
        extent that conversational AI achieves excellent customer service
        depends on just how prominent banks make it. Questions often arise about
        how much traffic is diverted from the call center, but actual results
        depend on how visible the chatbot is.

The growth of fintech, changes in customer needs and behavior, Covid-19 and financial insecurity has increased the need to explore how automation can better service customers. Using AI to improve the efficiency of customer service can have a positive impact on operational costs and customer satisfaction that can translate to banks better servicing a broad range of customers.

About Finn AI
Founded in 2014, Finn AI is the leading AI-powered chatbot platform for banks and credit unions, working with top financial institutions including one of the largest US card networks, a top 10 US retail bank, ATB Financial, Banpro Grupo Promerica, Fidor Bank, KOHO, TymeBank and more. Banks and credit unions use the award-winning Finn AI chatbot to transform and deepen customer engagement, while delivering the operational

If you have any questions regarding information in these press releases please contact the company listed in the press release. Our complete disclaimer appears here efficiencies and cost savings of conversational AI. For more information visit http://www.finn.ai.

Media Contact

Lisa Langsdorf, GoodEye Public Relations, +1 646-828-7415, lisa@goodeyepr.com

SOURCE Finn AI



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