AIOps: proactive incident detection & resolution
Correlate IT alerts, predict incidents, and automate first-line resolutions.
-40%
MTTR reduction
The problem
No reliable steering on aIOps: proactive incident detection & resolution.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Operational and cyber risk is underestimated.
Prerequisites: required data & tools
Required data
- Logs applicatifs
- monitoring infra
- ITSM
Compatible tools
- Datadog
- Dynatrace
- BigPanda
- PagerDuty + ML
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 6-12 months
In 6-12 months: Correlate IT alerts, predict incidents, and automate first-line resolutions. with measured impact on MTTR reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for aIOps: proactive incident detection & resolution
Operational engine for aIOps: proactive incident detection & resolution
Steering dashboard with alerts
Action playbook and governance
Expert insight
Reduces MTTR by 30–60%. Relevant for mid-market firms with complex environments.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Governance Officer
Gouvernance AI/Data, contrôles Shadow AI, conformité AI Act/GDPR.
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