Automation Blog

Banco Inter Scales Automation and Speeds Innovation with Automic

Written by Automation by Broadcom | Oct 27, 2026, 4:16:09 PM
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Banco Inter Scales Automation and Speeds Innovation with Automic

Download the complete case study to discover how Banco Inter transformed core banking automation, eliminated manual overhead, and built an agile foundation for AI-driven growth.

Key Highlights

Architectural Advantage

How Banco Inter scaled modern digital banking operations and accelerated innovation with Automic Automation.

Pillar 1

Rapid time to market

Accelerating cloud-native core banking deployment

Accelerated rollout: Banco Inter partnered with ICT Consultoria to deploy the core automation solution in just 20 business days.
Distributed cloud deployment: The team successfully deployed the VisionPLUS processing solution on a distributed cloud platform rather than traditional mainframe infrastructure.
Extensible architecture: The deployment established an adaptable foundation enabling teams to incorporate custom features and evolving business rules.
Pillar 2

Scalable batch orchestration

Powering high-volume operations with resilient scheduling

Massive account coverage: Automic centrally orchestrates mission-critical card processing workloads for more than 10 million accounts.
High execution throughput: The platform automates the reliable execution of 120,000 mission-critical jobs every single day.
Automated overnight cycles: Routine overnight processing tasks that once required manual intervention are now fully automated.
Pillar 3

Proactive visibility and reliability

Safeguarding service continuity across vital banking systems

Continuous availability: High system resilience ensures credit card workloads execute without disruptions that could impede daily banking operations.
Performance dashboards: Intuitive dashboards enable operations personnel to monitor active jobs and detect deviations from average runtimes.
Preemptive issue resolution: Real-time metrics allow technical teams to spot emerging bottlenecks and fix issues before customer services are impacted.
Pillar 4

AI-powered process innovation

Embedding intelligent workflows for real-time operational agility

Native agent integration: Banco Inter is adopting specialized AI agents directly within existing automated workflows.
Adaptive execution: Embedded AI capabilities deliver dynamic, real-time insights that facilitate rapid automated responses as conditions change.
Simplified routine deployment: Injecting AI tasks into predefined processes streamlines the rollout of new automated banking routines.

FAQ

Frequently asked questions

Key insights into Banco Inter's transition to Automic Automation and scaling critical banking workloads.

Q: Why did Banco Inter replace its legacy open-source scheduler with Automic Automation?

A: Banco Inter replaced its legacy open-source scheduler because it lacked the visibility, integration capabilities, resilience, and flexibility required to run modern credit card processing workloads. While the legacy scheduler handled basic Job Control Language tasks, it could not support the bank’s distributed cloud environment or scale with its rapid customer expansion.

Q: How quickly did Banco Inter deploy Automic Automation?

A: Banco Inter deployed Automic Automation in 20 business days by collaborating with implementation partner ICT Consultoria. This rapid turnaround delivered the core credit card orchestration solution while creating a flexible architecture for custom business logic.

Q: What operational volume does Automic Automation manage for Banco Inter?

A: Automic Automation orchestrates processing across 10 million customer accounts and runs 120,000 jobs per day for Banco Inter. The platform automated previously manual overnight workloads, ensuring continuous operations across Brazil and the United States.

Q: How is Banco Inter incorporating artificial intelligence into its automation workflows?

A: Banco Inter is embedding specialized AI agents directly into its existing Automic workflows to build adaptive, real-time automated routines. These integrated AI agents provide real-time operational visibility and enable swift remediation whenever processing issues begin to emerge.