Kyc aml · Production

Nexi Group achieves zero-touch KYC/AML merchant onboarding with super.AI IDP, saving 400+ hours monthly

The problem

Nexi Group's merchant onboarding relied on manual, paper-based KYC and AML document review — skilled workers had to switch between paper documents and electronic record systems, comparing and inputting data by hand. Taking several minutes per new customer and multiplied across thousands of new merchants each month, the process caused onboarding delays, a suboptimal customer experience, and a continuous drain on employee satisfaction.

Workflow diagram · grounded in source
1
Merchant document submission
trigger
“During the onboarding process, details collected about the merchant and their business must be compared to the official business registration documentation to confirm accuracy and verify authenticity.”
2
IDP data extraction
ai_action
“really reading 99.9% of all the information in the document and allowed us to get rid of this manual process”
3
Automated validation and comparison
validation
“automate and expedite the extraction, validation, comparison, and entry of data”
4
Zero-touch data entry output
output
“seamless integration with Nexi Group's existing tech stack”
Reported outcome

super.AI's IDP solution eliminated the manual paper review process, achieving 99.9% data extraction accuracy and saving over 400 hours per month with zero errors, enabling Nexi to redirect skilled employees to more engaging, value-adding work.

Reported metrics
Data extraction accuracy99.9%
Hours saved per month400+ hours/month
Employee reallocationemployees redirected to more engaging and value-adding activities
Reported stack
super.AI
Source
https://super.ai/case-studies/nexi-group
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

super.AI's IDP solution eliminated the manual paper review process, achieving 99.9% data extraction accuracy and saving over 400 hours per month with zero errors, enabling Nexi to redirect skilled employees to more en…

What tools did this team use?

super.AI.

What results were reported?

Data extraction accuracy: 99.9%; Hours saved per month: 400+ hours/month; Employee reallocation: employees redirected to more engaging and value-adding activities (source-reported, not independently verified).

How is this kyc aml AI workflow structured?

Merchant document submission → IDP data extraction → Automated validation and comparison → Zero-touch data entry output.