Resilient Operations - AIOps and GenAIOps

From alert noise
to autonomous resolution

Operations that predict, decide, and heal.

Modern IT environments generate thousands of alerts every day across applications, infrastructure, cloud, and network layers. Operation teams spend more time triaging noise than resolving issues. Manual correlation across tools is slow. Escalations are reactive. And the gap between detection and resolution keeps growing.

iStreet's AIOps and GenAI platform applies machine learning, event correlation, and generative AI across your entire operational telemetry, ingesting signals from observability, ITSM, and infrastructure systems to detect anomalies, isolate root cause, and trigger remediation automatically.

This is not operations supported by dashboards. This is
This is operations powered by AI intelligence

Key capabilities

Intelligent Event Correlation & Noise Reduction

  • Cross-domain event correlation across infrastructure, applications, network, logs, and ITSM systems
  • ML-driven alert grouping and deduplication that reduces alert noise
  • Behavioural learning that distinguishes root cause signals from downstream

Predictive Anomaly Detection & Early Warning

  • Dynamic baselining across every metric using time
  • Detection of weak signals and emerging degradation before SLA breach
  • Adaptive thresholds that evolve with your environment

Autonomous Root Cause Analysis (RCA)

  • Topology-aware root cause isolation across dynamic, distributed environments
  • Timeline-based fault reconstruction that maps the exact sequence of failure
  • Precise identification of the component, service, and parameter behind incident

Automated Remediation & Workflow Orchestration

  • Pre-built and custom healing workflows integrated with ITSM, runbook automation, and CI/CD tools
  • ML-recommended remediation actions based on historical resolution patterns and incident similarity
  • Human-in-the-loop approval controls for high-impact actions with full audit trails

GenAI-Powered ‘Talk to Incident’

  • Generative incident summarisation that delivers plain-language root cause analysis
  • Automated knowledge base creation from resolved incidents
  • Conversational interfaces for operators to explore incidents, query dependencies

Predictive Capacity & Cost Optimization

  • ML-driven capacity forecasting across short, medium, and long-term horizons
  • What-if modelling for growth scenarios, failure simulations, and infrastructure changes
  • Rightsizing recommendations that balance performance, availability, and cloud spen

Use cases

Alerts Noise Reduction

ML-driven correlation and deduplication correlates thousands of raw alerts into a handful of actionable incidents.

Predictive Incident Prevention

Anomaly detection identifies degradation patterns early, enabling remediation before users or SLAs are impacted.

Autonomous Root Cause Isolation

Topology-aware RCA traces the failure path across distributed services, eliminating manual triage across teams.

Automated Incident Remediation

Pre-defined healing workflows execute corrective actions automatically, reducing MTTR and freeing operations teams from repetitive tasks.

GenAI-Powered Incident Analysis

Natural language incident summaries, resolution recommendations, and conversational investigation, making operational intelligence accessible.

Capacity Analysis and Forecasting

Predictive capacity models identify over-provisioned resources and recommend optimization, reducing cloud spend

Why us

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Beyond Event Correlation

Our AIOps platform reasons across topology, timeline, and telemetry to deliver true autonomous root cause analysis and remediation.

GenAI-Native, Not Bolted On

Generative AI is embedded across the incident lifecycle, from summarization and knowledge capture to conversational investigation

Observability-Fed, ITSM-Integrated

Ingests correlated telemetry directly from Full-Stack Observability platform and integrates natively with your ITSM, automation, and workflow orchestration tools.

Built for Enterprise Scale

Designed to process millions of events per minute across hybrid, multi-cloud, and legacy-modern environments without performance degradation.

Human-in-the-Loop Where It Matters

Full automation for routine incidents. Approval gates, audit trails, and operator oversight for high-impact decisions, balancing speed with governance.

Part of the Resilience Operations Centre

Operates as the intelligence layer within the broader Resilience Operations Centre, connected to Observability, Digital Experience Monitoring, Unified Data & Insights, and operational orchestration.

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