Customer support · Production

VR Bank Südpfalz saves €530k automating loan and retirement planning conversations with AVA on Botpress

The problem

VR Bank Südpfalz received more than 3,000 real estate loan applications per year, each costing over €400 to process — an annual overhead exceeding €1 million — while regulatory requirements demanded intense staff attention to detail, and the process was consuming huge amounts of time.

Workflow diagram · grounded in source
1
AVA invites website visitor
trigger
“AVA engages website visitors or app users by sending them an invitation to start a conversation”
2
Conversational financial intake
ai_action
“the avatar asks questions about the type of finance they're seeking, such as a home improvement loan or the purchase of a property”
3
Natural language Q&A
ai_action
“AVA understands natural language and is able to answer questions and explain the various steps of the application process”
4
CRM data feed
integration
“The information communicated via AVA is fed straight into the bank's CRM system for an agent to complete the contract”
5
Agent completes contract
human_review
“for an agent to complete the contract”
6
Retirement plan advisory
ai_action
“AVA is able to show customers how their retirement plans are performing and offer advice about how to optimize investments”
7
Annual repeat conversation
feedback_loop
“The conversation can be repeated annually, giving customers the opportunity to stay on top of their plans and maximize returns”
Reported outcome

By deploying the AVA conversational AI chatbot, VR Bank Südpfalz achieved an average €530,000 cost saving from automating retirement planning processes — roughly €53 per conversation across more than 10,000 customers — while providing 24/7 availability and reducing manual data entry for employees.

Reported metrics
Cost saving through support automation€530k
Average cost saving from retirement planning automation€530,000
Cost per conversationaround €53
Customers covered by retirement automationover 10,000
Show all 8 reported metrics
cost saving through support automation€530k
average cost saving from retirement planning automation€530,000
cost per conversationaround €53
customers covered by retirement automationover 10,000
annual real estate loan applicationsmore than 3,000
processing cost per loan applicationoften exceeds €400
annual loan processing overheadover a million euros
employee manual data entry avoidedavoid having to manually input details
Reported stack
BotpressAVACRM system
Source
https://botpress.com/customers/vrbank
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

By deploying the AVA conversational AI chatbot, VR Bank Südpfalz achieved an average €530,000 cost saving from automating retirement planning processes — roughly €53 per conversation across more than 10,000 customers…

What tools did this team use?

Botpress, AVA, CRM system.

What results were reported?

Cost saving through support automation: €530k; Average cost saving from retirement planning automation: €530,000; Cost per conversation: around €53; Customers covered by retirement automation: over 10,000 (source-reported, not independently verified).

How is this customer support AI workflow structured?

AVA invites website visitor → Conversational financial intake → Natural language Q&A → CRM data feed → Agent completes contract → Retirement plan advisory → Annual repeat conversation.

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