Interlink is an AI-powered AIOps and Event Intelligence platform that provides enterprises with real-time service observability, automated root cause analysis and intelligent automation to manage incidents across hybrid IT environments. The platform enables IT Operations (ITOps), DevOps, Site Reliability Engineering (SRE) teams, and business stakeholders to align IT performance directly with business outcomes. It ingests events, logs and metrics from diverse tools and environments, reduces noise, and applies AI models to correlate and prioritise incidents. Using techniques such as machine learning, fuzzy matching and knowledge graphs, Interlink uncovers dependencies across services and infrastructure, providing faster diagnosis and more effective prevention of outages. A core strength of Interlink is its Universal Integration Capabilities. The platform connects seamlessly with monitoring, SIEM, ITSM, cloud-native, and DevOps pipelines, as well as custom APIs, scripts and open standards such as OpenTelemetry. This allows customers to unify data from hundreds of disparate systems into a single pane of glass, eliminating silos and enabling consistent service visibility across the entire IT estate. Key Features ------------- • Service Observability: Real-time, role-based dashboards that link IT performance to business impact • Model Context Protocol (MCP): Links AI models with real-time service state and topology, supporting Agentic AI • Event Intelligence: Noise reduction, correlation and anomaly detection to surface only actionable incidents • Root Cause Analysis: AI-driven dependency mapping across applications, networks and infrastructure • Automation: Workflow orchestration for remediation, escalation and repetitive tasks • Service Chain Mapping: Visualisation of application and infrastructure dependencies to support resilience and compliance • Universal Integration: Ingestion from monitoring tools, cloud APIs, logs, metrics, SNMP, OpenTelemetry, email and custom connectors • Generative AI Assistant: Conversational interface that allows natural language queries into service status and incidents Benefits -------------- • Reduces incidents typically around 50% by eliminating duplicates and identifying issues earlier • Cuts mean time to repair (MTTR) by accelerating root cause identification and automating responses • Unifies diverse data sources for end-to-end visibility, reducing silos between monitoring and management tools • Improves collaboration between IT and business teams via integration with ServiceNow, Slack and Microsoft Teams • Provides compliance-ready service models and reporting, including SLA/SLO and sustainability metrics • Enhances operational resilience through scalability, high-availability deployment options and proactive insights Use Cases -------------- • ITOps teams unify alerts and metrics from multiple monitoring tools for streamlined triage • Business stakeholders view IT performance in terms of customer journeys and revenue impact • DevOps/SRE teams use predictive insights to prevent outages and improve release stability • Customers in regulated sectors leverage service chain mapping and reporting for compliance with frameworks like DORA