Case Studies
Case Studies & Customer Success
Real results from organizations that rely on IBM i for mission-critical operations.
Case Studies
Introduction
i-Rays delivers measurable improvements in stability, predictability,
and diagnostic speed across banking, healthcare, retail, logistics, and
other regulated industries. Below you’ll find short previews of real
customer outcomes — each demonstrating early anomaly detection,
behavioural insights, and zero-footprint observability in action.
Why These Cases Matter
Across all industries, the pattern is the same:
- - Early detection window (hours before symptoms appear)
- - Diagnosis from hours → minutes
- - Zero-footprint observability (no agents, no impact on IBM i)
- - Behaviour-driven insights rather than raw metrics
- - Reduced reliance on scarce IBM i experts
- - Immediate value during PoC - visible anomalies within days
This is the evidence IBM i organisations rely on to de-risk decisions
and move forward with confidence.
Banking / Financial Services
European Bank - Early anomaly detection in payment subsystems
Environment: Dual IBM Power servers, replication, high-regulation
environment
Core challenge:
IBM i remained a blind spot despite full Dynatrace coverage. Skill-gap growing,
outages extremely costly.
What i-Rays delivered:
- - Extended observability to IBM i with zero footprint
- - Behaviour-based anomaly detection and filtered alerts
- - Hidden cross-system bottleneck found and resolved in 1 hour (instead of days)
- - Faster onboarding: new administrators became productive without years of IBM i expertise
- - Significant reduction in false positives
Outcome:
Increased the early detection window; increased predictability; reduced operational
risk; IBM i became a fully observable component of the bank’s critical ecosystem.
Public sector / Healthcare
Public Healthcare Provider - Stabilised batch windows & unified monitoring
Environment: Multi-server, multi-partition, complex operational
landscape
Core challenge:
Maintaining service continuity (24/7/365) with limited IBM i expertise and manual
monitoring.
What i-Rays delivered:
- - Cross-partition visibility is unique on a global scale
- - Unified dashboards for Ops, letting non-IBM i staff monitor system health
- - Business-level anomaly detection is routed to the right teams automatically
- - Smart metrics showing if issues were isolated or systemic
- - Early detection of degrading batch processes before daily reporting
Outcome:
More predictable operations, fewer escalations, and significantly lower administrative
workload.
Retail / E-commerce
Retail - Predictable nightly workload & fewer disruptions
(Industry Pattern - not a formal case study)
Typical challenge: Retail operations depend heavily on batch
processing, nightly workload consolidation, and time-sensitive data refresh
cycles. These windows often suffer from unpredictable slowdowns, recurring anomalies,
and rising alert noise — especially when teams lack deep IBM i expertise.
What i-Rays typically delivers in retail environments:
- - Early detection of behavioural drift in night-time batch flows
- - Identification of recurring anomaly signatures across days/weeks
- - Reduced false-positive alerts and less operational noise
- - Clear visibility into workload dependencies (jobs, queues, subsystems)
- - Stabilised batch windows and more predictable nightly processing
Outcome:
Retail environments adopting behavioural intelligence consistently experience
smoother night-time operations, fewer unexpected interruptions, and a more reliable
morning data-availability cycle - without requiring additional IBM i specialists.
See your IBM i in a completely new way.
Experience the shift from guessing... to knowing.