AIOps Consulting — Intelligent Automation for Enterprise IT Operations
Helping enterprise IT operations teams move from reactive firefighting to AI-assisted, observability-driven incident management — reducing MTTR, cutting noise, and giving operations teams their time back.
The Challenge: Alert Fatigue and Reactive Operations
Most enterprise IT operations teams are drowning in alerts, not insights. Monitoring tools like Dynatrace and Splunk generate thousands of signals a day, but without intelligent correlation and automation layered on top, operations teams spend more time triaging noise than resolving real problems.
The result is familiar to any Head of IT Operations or Service Delivery Director: rising MTTR, escalation fatigue, inconsistent on-call experiences, and SLA risk that creeps up quietly until it becomes a customer-facing incident. Traditional AIOps tooling helps, but only when it's implemented with real operational context — not bolted on as a generic dashboard.
There's also an organizational dimension that's easy to underestimate. AIOps platforms are often purchased by a tooling or architecture team and handed to an operations team that wasn't part of the design — so the automation reflects what the platform can technically do, not how incidents actually get escalated, who needs to be informed, or what 'resolved' really means for that business. Closing that gap is usually the difference between an AIOps rollout that gets adopted and one that quietly gets ignored after the first quarter.
// My Approach
My Approach to AIOps Implementation
I work from the operations side first, not the tooling side. Having owned P1/P0 escalations directly and led multi-region operations teams of 50+ resources, I design AIOps implementations around how incidents actually move through an organization — detection, correlation, triage, escalation, and resolution — rather than treating automation as a bolt-on dashboard layer.
In practice, this means integrating observability platforms like Dynatrace and Splunk with AI-driven triage and escalation workflows, so anomalies are correlated and prioritized automatically before they reach a human responder. Where it adds value, I extend this further with GenAI — for example, building an AI Incident Co-Pilot that assists operations teams with real-time incident analysis, resolution guidance, and auto-drafted stakeholder communications, reducing the manual overhead around every incident, not just the diagnosis.
Throughout, the goal is augmentation rather than replacement. AIOps and AI Incident Co-Pilots are designed to sit alongside your existing on-call rotation and escalation matrix, surfacing the right context faster rather than asking teams to trust a black box. That's also why the engagement always starts with how your team currently triages an incident — not with which platform to buy.
Map how incidents currently move through your organization — detection sources, correlation gaps, escalation paths, and where time is actually being lost between alert and resolution.
2. Observability Integration
Connect or tune Dynatrace, Splunk, or your existing monitoring stack so signals are correlated and prioritized before they reach a human, reducing alert volume and noise.
3. AI-Assisted Triage & Escalation
Layer in AI-driven workflows — and, where it fits, an AI Incident Co-Pilot — for real-time incident analysis, resolution guidance, and automated stakeholder communication.
4. Measure & Iterate
Track MTTR, SLA adherence, and escalation accuracy against your baseline, and tune correlation rules and automation thresholds as real incident data comes in.
// Verified Results
Proven Operational Outcomes
20%
MTTR Reduction
99.8%
SLA Adherence Achieved
99.9%
Service Availability
50+
Ops Team Members Led
Through AI-driven operational monitoring and workflow automation, I've helped improve SLA adherence from 96% to 99.8% on an enterprise IT operations engagement, while AI-enabled triage and escalation workflows integrated with Dynatrace and Splunk reduced incident resolution time by 20%.
// Common Questions
Frequently Asked Questions
Do you replace our existing monitoring tools?
No. The approach integrates with what you already run — typically Dynatrace, Splunk, or similar — rather than asking you to migrate platforms. Automation and AI are layered on top of your existing investment.
How long does an AIOps engagement typically take?
It depends on scope — a focused triage and escalation automation project can show results within a few weeks, while a full observability and AIOps rollout across a large operations team is typically a multi-month engagement.
Can this work alongside our existing on-call rotation?
Yes — AIOps and AI Incident Co-Pilot tooling are designed to support your existing escalation matrix and on-call process, not replace the people in it.
What does engagement pricing typically look like?
Engagements are scoped individually as either a fixed-scope project or an ongoing advisory retainer, depending on whether you need a one-time implementation or continuous AIOps maturity support — happy to discuss specifics on a call.
What if we don't have Dynatrace or Splunk yet?
That's fine — initial discovery includes evaluating which observability platform best fits your environment and budget before any automation or AI layer gets built on top of it.
// Who This Is For
Built For Enterprise Decision-Makers
Heads of IT Operations scaling observability beyond dashboards
Service Delivery Directors under SLA / MTTR pressure
CTOs evaluating AIOps platforms before a major investment
Managed Services leaders standardizing incident response across regions
// Why This Approach
Why This Works
Most AIOps engagements fail not because the technology doesn't work, but because the team implementing it doesn't understand both the platform and the operational reality it's meant to serve. Two decades of owning P1/P0 escalations directly — not just consulting on them — is what closes that gap, and it's why the automation that comes out of this process tends to get adopted rather than quietly ignored after the first quarter.
// Let's Talk
Ready to Discuss AIOps Consulting?
Book a free 30-minute consultation to discuss your current challenges and whether this is the right fit — no obligation, no sales pitch.