How Standard Bank Uses Celonis to Achieve 90%+ STP in Cross-Border Payments

Standard Bank, Africa’s largest bank operating across more than 20 countries, deployed Celonis Process Intelligence to transform its Corporate and Investment Banking operations. By creating a digital twin of its cross-border payment workflow, the bank surfaced root causes of processing delays and implemented targeted automation across payments, trade products, and investment banking. Payment turnaround times dropped from up to 55 hours to a handful of hours, and the straight-through processing rate climbed above 90%.

Outcomes

>90%Straight-through processing rate in cross-border payments
Reduced from up to 55 hours to a handful of hoursCross-border payment turnaround time

Tools & Technologies

1C
Celonis
Process mining and execution management platform that identifies inefficiencies in business processes and drives intelligent automation.

AI Categories

Challenge

Standard Bank’s cross-border payment operation—handling 9–11 trillion rand monthly—ran on manual, legacy systems with no end-to-end process visibility, causing turnaround times of up to 55 hours and blocking the bank’s ambition to compete with digital-first financial services providers.

Solution

Standard Bank partnered with ProcessLab to deploy Celonis Process Intelligence, building a digital twin of its cross-border payment workflow to identify root-cause friction points, then expanding the platform as the backbone of an enterprise-wide Intelligent Processing Model across CIB Operations.

Full Story

Standard Bank is the largest bank on the African continent, processing 9–11 trillion rand in cross-border payments monthly across more than 20 countries. Despite its scale, the bank operated in a predominantly analog legacy environment—one it had digitized without fundamentally reimagining. As customer expectations shifted and digital-native fintechs intensified competition, leadership recognized that incremental improvements would not be enough. “Africa has the youngest population and the largest population globally,” says Richard de Roos, Head of CIB Operations. “The opportunity is immense and we want to be part of enabling its growth.”

Access 455+ AI use cases, 427+ tools, and adoption signal rankings.

Source

CELONIS
July 2026
Original case study

Similar Cases

1K
How Klarna’s AI Assistant Resolves 80% of Queries in Under 2 Minutes
Klarna
80%Reduction in average customer query resolution time
2S
How Stripe Deploys Claude Code to 1,370 Engineers with Zero-Configuration Rollout
Stripe
1,370Engineers Deployed
3W
How WEX Achieved 30% Developer Productivity Gains with GitHub Copilot
WEX
~30%Developer productivity increase with GitHub Copilot
4IU
How Itaú Unibanco Uses GitHub Copilot to Ship 93% Faster
Itaú Unibanco
93%Code commit time reduction
5A
How Airtree Uses Claude Cowork to Automate VC Research & Reporting
Airtree
Reduced from 2 days to minutesMarket & competitor research time
6P
How PepsiCo Uses Celonis to Cut Order Rejections 86% and Unlock Millions in Cash
PepsiCo
86%Sales order rejection rate reduction
7B
How Block Gives 4,000 Employees AI-Powered Data Access via Claude and Databricks
Block
75% saving 8-10+ hoursEngineers saving time weekly
8NB
How NBIM Uses Claude Enterprise to Save 20% Time on Investment Analysis
Norges Bank Investment Management
20%Weekly time savings per employee
9CC
How Chipper Cash Uses Pinecone Vector Search to Stop Fraud in Real-Time
Chipper Cash
95%+Selfie verification accuracy
10K
How KeyBank Uses Automation Anywhere to Secure AML Investigations
KeyBank
105,000Manual touchpoints removed
See all use cases →