Financial ServicesConversational AIPublic CloudLivePerson Conversational CloudLivePerson Intent ManagerWhatsApp

How Getnet improved CSAT to over 85% in under a year

Getnet

Getnet, a global digital and physical payment solutions provider and part of Santander's PagoNxt payment hub, worked with partner A5 Solutions to deploy LivePerson's Conversational Cloud platform, shifting customer service from voice to WhatsApp and other digital channels. The rollout included a virtual assistant available 24/7, bot parking for inactive conversations, AI-generated conversation summaries for agents, secure-form-based identity verification, and LivePerson's Intent Manager to analyze customer intent and improve service-bot menu performance. The migration from Getnet's previous platform took just 20 days. Within 11 months, digital channels grew to 74% of support conversations (up from a smaller share, with voice dropping to 26%), CSAT rose from 45.91 to the mid-80s (an increase of over 85%), and NPS rose by 78 points on average across support menus that had previously been negative. As of July 2024, 17 bot automations supported 84 service groups and 300 human agents.

Overview

Getnet, a global digital and physical payment solutions provider and part of Santander's PagoNxt payment hub, worked with partner A5 Solutions to deploy LivePerson's Conversational Cloud platform, shifting customer service from voice to WhatsApp and other digital channels. The rollout included a virtual assistant available 24/7, bot parking for inactive conversations, AI-generated conversation summaries for agents, secure-form-based identity verification, and LivePerson's Intent Manager to analyze customer intent and improve service-bot menu performance. The migration from Getnet's previous platform took just 20 days. Within 11 months, digital channels grew to 74% of support conversations (up from a smaller share, with voice dropping to 26%), CSAT rose from 45.91 to the mid-80s (an increase of over 85%), and NPS rose by 78 points on average across support menus that had previously been negative. As of July 2024, 17 bot automations supported 84 service groups and 300 human agents.

The challenge

Though the majority of Getnet's customer service was conducted on voice channels, this was not a sustainable or effective approach -- Net Promoter Scores (NPS) were in the negatives across the board. Voice was an expensive channel to support and less versatile than digital channels for sharing rich content, files or audio, or allowing customers to keep a conversation record. The solution also needed to be user-friendly and easy to set up and modify with minimal technical support from internal development teams.

The solution

Getnet worked with partner A5 Solutions, which recommended LivePerson's Conversational Cloud platform, to shift customer service from voice to WhatsApp and other digital channels. The rollout included shifting conversations to WhatsApp, a virtual assistant available 24/7, bot parking for inactive conversations, AI-generated conversation summaries for agents, secure-form-based identity verification (PID inclusion), and LivePerson's Intent Manager to analyze customer intent and improve service-bot menu performance. The migration from Getnet's previous platform took just 20 days.

Conversational AIGenerative AI

Reported business value

Within 11 months, digital channels grew to 74% of support conversations (up from a smaller share, with voice dropping to 26%), CSAT rose from 45.91 to the mid-80s (an increase of over 85%), and NPS rose by 78 points on average across support menus that had previously been negative. As of July 2024, 17 bot automations supported 84 service groups and 300 human agents.

Related entries

Other financial services entries in the register.

All entries
Financial ServicesGenerative AIPublic Cloud

Banking Innovator bunq Supports Growth, Strengthens Security Using AWS

bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.

100/100HighbunqPrimary source
Financial ServicesMachine LearningPublic Cloud

TBC Bank Operationalizes Trusted Data with Lakebase

TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.

96/100HighTBC BankPrimary source
Financial ServicesAgentic AIUnknown

ING Bank transforming operations through agentic AI

ING Bank is running multiple AI projects across operations, governed centrally under its COO. Live/early-production efforts include a retail chatbot, AI-driven identification of hidden affluent clients for marketing, AI-assisted transaction monitoring that helps investigators close standard alerts faster and focus on risk, and a customer due diligence (KYC) redesign that uses existing public and behavioural data to auto-answer most of a roughly 100-question review, cutting due diligence from days or weeks to seconds. ING is also developing agentic AI to handle mortgage applications end-to-end (credit checks, data collection) starting in 2026. ING's COO said AI introduced to an operations process yields a 25% productivity gain, with freed capacity redeployed to growth and more complex work, and its CTO described 'conservatively aggressive' governance restricting AI exploration to five areas under COO control.

92/100HighING BankPrimary source
Financial ServicesConversational AIUnknown

Hyundai Capital America: Transforming customer experience with messaging innovation

Hyundai Capital America (HCA), the finance arm of Hyundai Motor Group for Hyundai, Kia and Genesis leases and loans in the US, partnered with LivePerson starting from a 2018 proof of concept to shift from a voice-dominated contact center to a data-driven, messaging-first strategy across SMS and Apple Messages for Business. Using deflection-to-messaging on high-friction payment interactions, HCA achieved 94% customer satisfaction, an 89% containment rate, and grew messaging engagement from 10,000 to over 100,000 customers served monthly. HCA and LivePerson co-developed a PCI-compliant chatbot debit card payment integration with payment processor ACI.

92/100HighHyundai Capital AmericaPrimary source

Was this helpful?

Your feedback helps us improve our use case database