Enhanced Capabilities with Verint Intelligent Virtual Assistant Enable Easy Design and Deployment, Accelerate Time to Value, and Increase ROI

Powered by Verint Da Vinci AI, Solution Enables Brands to Deliver Customer Experience Automation at Scale

Verint, The Customer Engagement Company, announced that advanced capabilities for Verint Intelligent Virtual Assistant (IVA) will be available on April 19 and deliver a conversation design platform that enables teams to design, deploy, and improve IVAs faster, collaboratively and at scale. Verint IVA is part of Verint Customer Engagement Platform powered by Verint Da Vinci AI to activate insights and automate experiences across the enterprise.

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“Verint’s IVA Studio enables developers to start with pre-built models that reduce the time and resources required to support a variety of complex interactions and transactions.”

Conversational artificial intelligence (AI) helps organizations gain confidence in their ability to provide high quality customer experiences. According to a recent Verint study, nearly three-quarters of the highly confident respondents – confident about their organization’s ability to provide the level of experience demanded by modern consumers – had implemented an IVA before or during 2022, more than half increased spending on those solutions in 2022 versus 2021 and just under half currently share work between human employees and bots.

“Customers appreciate using their own words in natural interactions with bots but get frustrated when automated systems don’t understand simple queries or have limited options,” explains Derek Top, senior analyst and research director at Opus Research. “Verint’s IVA Studio enables developers to start with pre-built models that reduce the time and resources required to support a variety of complex interactions and transactions.”

Verint IVA allows for the quick and efficient deployment of automation across an organization’s digital and voice channels to deliver consistent and personalized self-service experiences, while also optimizing contact center operations.

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Equipped with pre-built natural language understanding (NLU) models and extensive AI and analytics fueled by Verint Da Vinci, Verint IVA allows an organization to scale a hybrid workforce, consisting of humans and virtual assistants, to provide differentiated customer experiences while easily integrating with a company’s existing systems.

Verint IVA also includes a low-code, drag-and-drop editor called IVA Studio, which is equipped with an intuitive, visualized user interface that enables large enterprises and SMBs to quickly launch, tune, and improve their bots in-house, on their own terms resulting in immediate ROI. As business and consumer needs evolve, new intents and languages can be added and measured in real-time across endpoints to derive insights, so organizations can pivot and improve the customer experience. This tuning process allows for transparency and control into the creating and improvement of tailored language models for an enterprise, its brand and its customers.

Based on more than two decades of real-world AI experience, Verint IVA delivers mature NLU models specific to industry use cases in banking, insurance, healthcare, among others. With the ability to seamlessly integrate into current chatbot solutions, these NLU models produce attentive, hyper-personalized and human-like conversations. The solution also enables end users to build and manage voice AI flows to support an omnichannel approach. For example, augmenting the IVA experience by handing over complex chatbot conversations to a live agent with the proper context.

“Rolling out more digital channels doesn’t always guarantee an improvement in customer engagement. Modern consumers expect seamless digital interactions, regardless of channel,” says Verint’s Heather Richards, vice president, go-to-market strategy, digital first engagement. “Brands need a way to scale customer interactions across channels and Verint IVA introduces AI-powered conversational experiences – driving a better customer experience and automating processes in the contact center.”

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