← Cases
ArgentinaFinance and insurance2023 – ongoing

Banco Galicia

Intelligent NLP for corporate customer onboarding

Banco Galicia reduced corporate verification from up to 20 days to minutes with NLP

WorkingVendor case studyVendor ↗

Problem

Different teams manually reviewed unstructured corporate documents before customers could transact. Verification took up to 20 days.

Approach

Banco Galicia and Red Hat Consulting built an NLP platform on OpenShift. The bank trained models with open-source tools and exposed them through APIs. Document analysis supported a digital, self-service onboarding process.

Results

90%accuracy achieved in the initial verification proof of concept, per Red HatVendor case study[1]
around 40%operating-cost savings attributed to process automation by Red HatVendor case study[1]

Takeaway

Automating document analysis shortened the wait before corporate customers could use their accounts.

Categories

Business function
Finance, risk and legal
Innovation type
Process innovation
Evidence
Vendor case study

Sources

Source summaries

[1]Red Hat2023

Red Hat reported verification in minutes rather than up to 20 days. It attributed 90% accuracy to the proof of concept and around 40% operating-cost savings to automation.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗