Catnip Infotech
AIOps (Artificial Intelligence for IT Operations)
Enterprises today are navigating an era of rapid digital transformation, where IT ecosystems have grown into hyper-complex, hybrid environments with thousands of interconnected applications, services, and endpoints. As scale and complexity increase, traditional, manual approaches to IT monitoring and management are no longer viable.
At Catnip Infotech, we’re revolutionizing enterprise operations through the power of Generative AI (GenAI), Agentic AI, and Autonomous IT Operations (AIOps). By fusing these advanced technologies, we enable intelligent observability, predictive issue resolution, and data-driven decision intelligence across IT and business functions driving agility, resilience, and strategic alignment.
Our AIOps + GenAI framework doesn’t just monitor infrastructure it learns, predicts, acts autonomously, and advises business teams, transforming IT into a self-healing, insight-driven, and business-aligned powerhouse.
What is AIOps + Agentic AI?
AIOps (Artificial Intelligence for IT Operations) leverages AI and ML to automate and enhance every layer of IT management. When integrated with Agentic AI, it evolves into a network of autonomous, self-learning agents that proactively monitor,
analyze, and optimize infrastructure, applications, and business workflows.
AIOps + Agentic AI = Autonomous IT + Smart Business Insights + Continuous OptimizationThese intelligent systems:
Aggregate structured and unstructured telemetry (logs, metrics, traces, tickets, and business data)Apply ML algorithms and Large Language Models (LLMs) to detect anomalies, identify root causes, and recommend or execute corrective actionsTranslate complex technical data into meaningful business insightsEnable AI-driven decision-making across IT, Operations, Finance, and Strategy teams
Why This Matters Now
Traditional IT Ops | AIOps + GenAI-Powered Ops |
|---|---|
Reactive and alert-fatigued | Predictive, proactive, and self-healing |
Siloed monitoring tools | Unified observability platform with AI-assisted correlation |
Manual root cause analysis (RCA) | Autonomous multi-layer correlation with root cause detection |
Long mean time to detect/respond (MTTD/MTTR) | Real-time triage, resolution suggestions, even auto-remediation |
Data overload, low signal-to-noise ratio | Pattern recognition and summarization using LLMs |
Ops isolated from business impact | GenAI converts tech issues into business KPIs (e.g., revenue, SLA) |
Catnip’s AI-Driven Offerings in AIOps + Knowledge AI
Service | Use Case Examples |
|---|---|
GenAI-powered Observability Dashboards | AI summarizes logs, metrics, and traces in business-readable language |
Agentic RCA & Auto-Remediation | LLM agents correlate alerts, identify root causes, and take automated actions |
Knowledge Engineering Assistants | Build knowledge graphs and business rules from documentation and tribal knowledge |
ITSM / Ticket Intelligence | Analyze ticket trends, classify incidents, suggest responses and resolution paths |
Infrastructure Cost Optimization (FinOps) | Detect unused infra, optimize cloud spend, model cost-saving scenarios |
Business Impact Layer for IT Events | Translate IT outages into impact on sales, CX, compliance |
Data Storytelling Agents | Generate reports and business insights from operational and financial data |
Our Tech Stack for AIOps & Knowledge Engineering
Layer | Technologies / Capabilities |
|---|---|
Data Ingestion | Log aggregators, monitoring tools (Prometheus, Grafana, Datadog, New Relic, Splunk, ELK) |
AI/ML Correlation | Time-series ML, clustering, anomaly detection engines, AutoML |
LLM & GenAI Layer | OpenAI, Azure OpenAI, LangChain, Haystack, RAG pipelines |
Agentic Layer | AutoGen, CrewAI, AI Orchestrators for remediation and advisory |
Visualization & BI | Power BI, Grafana, GenAI Storytelling Dashboards |
Integration Layer | ITSM (ServiceNow, Jira), CI/CD tools, IaaS/PaaS/SaaS APIs |
Security & Governance | Access control, data redaction, explainability, audit trails |
Why Catnip?
At Catnip Infotech, we bring together deep infrastructure expertise and cutting-edge AI innovation to help enterprises achieve true operational intelligence and automation.
Here’s what sets us apart:
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Deep Infra + AI Convergence Expertise – We bridge the worlds of IT systems and machine learning, enabling seamless integration between infrastructure and intelligent automation.
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Hybrid-Cloud AIOps Integrators – Proven expertise in building unified observability across cloud, on-premise, and edge environments.
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LLM-Driven Automation Design – We create prompt-based and autonomous Agentic AI playbooks that drive end-to-end operational efficiency.
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Business-First AI Models – Our AI models focus on business priorities cost optimization, SLA adherence, and KPI alignment not just technical performance.
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Proven Industry Experience – Successfully delivered GenAI and AIOps solutions across BFSI, Retail, Telecom, and Technology sectors.
AIOps Use Cases by Business Domain
Domain | Use Case | Impact |
|---|---|---|
BFSI | Alert correlation + RCA across hybrid workloads | MTTR goes down by 60%, SLA breaches |
Retail | Outage to revenue impact mapping | Faster escalation and prioritization |
Telco | Log summarization and pattern detection in 5G networks | Proactive incident avoidance |
Healthcare | Compliance and patient data monitoring agents | HIPAA adherence, reduced human errors |
Enterprise IT | Unused resource detection (FinOps) | 20-30% cloud cost savings |