SVNTN
Experience SVNTN live
de
en
Voices

References.

With numbers.

Automated workflows in real customer systems, not just on slides.

+23%

more up-selling and cross-selling

During an active service call, the AI agent identifies suitable products and offers and closes the deal, rather than just processing the request.

74%

faster handling time

Incoming tickets are resolved end-to-end: from intent recognition to entry in the target system, with no queues or hand-offs.

01

Workflows we have taken over

Excerpts from production automations for clients in insurance, banking, and retail.

Claim report
Live
Hello, my windshield is broken due to hail. Can I report that here?
Yes. I will record the claim and check your policy coverage.
Photos have been captured. I am now starting the settlement process.
System
Policy KH-20481
Coverage confirmed
Action
Settlement
Triggered · 00:41
Insurance

Claims reporting to settlement

Voice, chat, or email: Intent is recognized, policy and damage photos are captured, coverage is checked in the policy management system, and the settlement process is initiated. Audit trail included.

Banking

Card blocking in core banking system

Verify identity, block card, order replacement card, directly via the core banking system interface. No API project. Close the case as soon as the customer is finished.

Core Banking · Card Management
Customer
M. Keller · **** 4481
Status
Active
Block card
SVNTN Desktop Agent
Card blocked
Replacement card ordered · Case closed
Order #48291
Refunded
Order identified
Return label generated
ERP goods receipt
Refund triggered
74%
faster handling time
+23%
Up-sell and cross-sell
Retail

Return, label, refund

Assign order, generate return label, book goods receipt in ERP, trigger refund. The same conversation can include relevant up-sell and cross-sell offers.

Ralf Mühlenhöver leans against the window front in the SVNTN office in Berlin, with the TV Tower in the backgroundLabel: AI-generated image
02

What our voices say

01 / 06
BackNext
“
From our very first conversations, we were impressed by how quickly SVNTN understood our processes and worked with us to identify concrete use cases. Instead of buzzwords, we immediately got a clear picture of where AI can create real value in our customer service.
Christina Martin
Managing Director, S-Markt & Mehrwert
“
By 2027, there will be no such thing as customer service without agentic AI. But how can a company calculate the costs and risks of such an undertaking? At SVNTN, our solution expertise and pricing model are the perfect match for companies that need rapid implementation and want to avoid risks.
Prof. Nils Hafner
Chair of Customer Management at Lucerne University of Applied Sciences and Arts
“
I didn't think we could solve the challenges with our somewhat legacy IT environment. But we did!
Susanne P.
Customer Experience Manager
“
No integration project, no roadmap battle. We handed over the service, and IT was able to keep sleeping.
Tom R.
Head of Customer Service
“
After six weeks, 70 percent of our meter reading reports were processed without a single manual step. The logs read as if they were written by a very diligent colleague.
Sabina H.
Head of Customer Service, Municipal Utilities
“
We’ve eliminated the night shift for incident reporting. Not reduced, eliminated. The agent resets the station before the customer even thinks to call the hotline.
Tobias W.
COO, Charging Station Operator
.
CEO and Co-Founder, SVNTN
+49 2381 3705056connect@svntn.ai
Ralf Mühlenhöver, Co-Founder of SVNTN
Contact

Talk to

Ralf.

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