NICE Further Improves Its Agent Desktop

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Written by Robyn Coppell

NICE has announced that NEVA, its attended automation offering, is now enriched with NICE Enlighten AI’s real-time behavioural and conversational insights, ensuring hyper-personalized service experiences.

This innovation enables a real-time understanding of agent behaviours, providing desktop and interaction guidance to accurately meet customer needs.

NEVA with NICE Enlighten AI boosts first call resolution, reduces after-the-fact employee training and coaching, improves employee engagement and increases service effectiveness.

Today’s economic environment calls for every customer touchpoint to be optimized and effectively converted into meaningful business outcomes, all while ensuring superior service that’s quick and intuitive. This cutting-edge innovation includes real-time understanding of the agent behaviours proven to impact customer satisfaction.

By combining NEVA’s contextually relevant desktop guidance and task automation capabilities with real-time behaviour coaching, agents are empowered to focus on the customer experience, immediately adapt behaviour and take decisive action to close the loop. This transforms live customer interactions into exceptional service experiences.

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Barry Cooper

Barry Cooper, President of NICE Enterprise Group, said: “The events of the past year have highlighted the importance of customer service, which has seen significant increases in interactions, particularly over digital channels.”

“To this end, we are very excited to bring our proven NICE Enlighten AI to NEVA. This innovative solution enables organizations to combine Enlighten AI’s predictive and behavioural triggers with NEVA’s market-leading automation capabilities.”

“It is our firm belief that this powerful combination will empower customer-facing employees to be the best they can be by proactively adapting and tailoring customer interactions to drive brand loyalty.”

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Robyn Coppell

Robyn Coppell has worked as Digital Content Manager for Call Center Helper since 2021. After University her first job was in a contact centre and has stayed in this space ever since.

She has experience of contact centre operational management, software systems, css and php coding. She edits a lot of the guest content that is published on Call Centre Helper.

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