Case Study: ING Bank Turkey achieves 10x job throughput and 4x faster recovery with Automic Workload Automation

Streamlining Start/End-of-Day Processing and Lowering Risk with Automic Workload Automation

ING Bank Turkey, a leading retail and corporate bank pursuing a technology-first vision, faced labor-intensive start-of-day and end-of-day processing and slow, error-prone disaster recovery across complex Linux, Windows and Solaris environments. The bank was running up to 1,000 overnight and recurring jobs using time-based scheduling, scripts and 30 pages of manual runbooks managed by 15 operators, which limited visibility, SLA performance and regulatory compliance.

By standardizing on Automic Workload Automation to orchestrate workflows and automate dependencies and file transfers, ING replaced manual runbooks with a single, visible platform. The bank now processes ten times as many jobs in the same window (~10,000 vs 1,000), reduced operations headcount by over 20%, runs ~6 million recurring executions monthly with near-zero errors, automated 90% of DR switchover tasks and cut MTTR by fourfold (DR switchover in 80 minutes, return in 40), enabling resource redeployment and stronger compliance.

ING Bank

Hasan İnceoğlu

Senior VP of Technology