At 2:30 AM, a customer’s retail POS network started slowing down. The IT team was asleep. But GenAI wasn’t.
It had already spotted a memory leak building up on the application layer. It correlated that with a recent deployment pattern. Without raising an alert, it initiated a service restart based on past incidents. By 6:00 AM, everything was stable, and business resumed without a hitch.
That’s not the future. That’s happening right now.
What it means:
GenAI picks up subtle deviations from normal operations
before they escalate.
Real-world context:
Aress supports a UK-based fintech with high-volume
trading systems. We noticed unusual spikes in DB I/O during a non-peak trading window. GenAI
flagged that the issue stemmed from a recently deployed analytics job clashing with live trades.
We rescheduled the job, and there was no recurrence-averting what could’ve been a serious
latency event.
What’s changed:
Traditional systems raise alarms after thresholds are
breached. GenAI anticipates risks using behavioral baselines and temporal patterns.
What it means:
The system doesn’t just alert-it fixes known issues
automatically.
Aress in action:
In a client’s legacy on-premise .NET application,
sporadic thread hangs led to app pool crashes post-midnight. GenAI recognized the log pattern
and memory dip trend before each crash and initiated a recycle automatically during low-traffic
hours. Downtime was reduced from 3+ hours/week to near-zero, until a patch was finally deployed.
Why it matters:
24×7 support isn’t just about fixing fast-it’s about
avoiding fixes altogether.
What it means:
GenAI filters and clusters alerts based on relevance,
severity, and context.
Real-world context:
One of our North American clients in the retail space
was drowning in 600+ alerts per night from their distributed inventory management system. GenAI
learned to group related disk I/O and latency events, identify recurring non-critical alerts,
and isolate truly actionable items. We brought the noise down by 70%, making sure engineers only
woke up when it mattered.
What’s changed:
Rather than react to every ping, engineers now respond to
incidents pre-qualified by GenAI as real and urgent.
What it means:
GenAI accelerates RCA by comparing logs, configs, and past
tickets to draw instant correlations.
Aress in action:
A global manufacturing client reported sporadic order
sync failures in their ERP. Traditional debugging took hours. GenAI reviewed six months of
ticket history, matched it with recent Windows patch logs, and pinpointed a network
authentication delay introduced by a specific security update. RCA time dropped from 4 hours to
35 minutes.
Why it matters:
The sooner you know why it failed, the faster you restore
normal.
What it means:
GenAI helps L1 engineers troubleshoot using past
resolutions and contextual guidance.
Aress in action:
Aress supports a cloud-first SaaS provider where junior
engineers often handle initial triage. One evening, a VM restart loop was triggered in Azure.
The on-shift L1 team used our GenAI assistant, which suggested reviewing a pending disk resize
that hadn’t been committed properly. The L1 resolved it without escalation-improving SLA
adherence and building team confidence.
Why it matters:
GenAI doesn’t replace your engineers-it helps them perform
like seniors.
What it means:
GenAI creates a self-improving feedback loop from every
resolved issue.
Real-world context:
A healthcare client using Azure VMs had weekly backup
failures during security patch cycles. After the second incident, GenAI retained the pattern,
auto-flagged backup service readiness post-patch, and adjusted backup timing. It prevented 5
more incidents in the next two months.
What’s changed:
With GenAI, your past issues don’t just get resolved-they
become training data for future prevention.
What it means:
By automating the mundane, GenAI lets engineers work on
meaningful challenges.
Aress in action:
A US-based media agency offloaded L1 health checks, patch
verifications, and routine service logs to GenAI within Aress’s 24×7 model. Within 6 months, the
team was free to focus on security policy enhancements and DevOps automation. Team morale
improved, and overnight shift attrition dropped by 21%.
Why it matters:
Happy engineers build resilient systems-and stay longer.
Why Aress, and Why Now?
In a world where every minute of downtime affects revenue, GenAI isn’t just a cool add-on-it’s a necessity.
At Aress, we don’t just apply GenAI tools-we operationalize them across your IT support ecosystem. With over 25 years of global 24×7 managed IT support experience, our strength lies in combining intelligent automation with deeply experienced support talent.
Whether you run a cloud-native SaaS product, a multi-country retail operation, or a hybrid legacy environment, Aress ensures that GenAI keeps your systems up, your teams focused, and your customers happy.
Let’s talk about how to evolve your IT support model today.
Reach us at www.aress.support to explore a smarter way forward.