tools into a single
Autonomous
Operations Brain
Agivant layers an agency of AI agents, a real-time data fabric, and a service graph on top of your existing observability and ITSM stack to compress MTTR, cut alert noise, and safely automate remediation.
40-50%
MTTR
Reduction
AI-assisted diagnosis and autonomous remediation.
Agivant Impact
Resolves known incidents in minutes, not hours.
60-80%
Alert Noise Reduction
Correlation, deduplication, and suppression of redundant alerts.
Agivant Impact
Focuses SREs on high-impact signals.
-30-60%
Ticket Handling Effort
Autonomous enrichment, routing, and suggested resolutions.
Agivant Impact
Offloads manual triage from L1/L2 teams.
Higher
Change Success Rate
Change risk scoring and pre-deployment analysis.
Agivant Impact
Prevents change-induced incidents.
Lower
Run
Costs
Tool consolidation and duplicate monitoring reduction.
Agivant Impact
Scales operations without
linear headcount.
AIOps Evolution Timeline
The shift from isolated monitoring to a unified intelligence layer.
1
Ticket Factories
Exploding ticket volumes, manual triage, and alert storms from dozens of siloed tools. Humans act as the ‘glue’ between monitoring and ITSM.
2
Siloed AIOps
Standalone anomaly detectors and basic chatbots exist, but lack a shared service graph, leaving humans doing cross-system correlation.
3
Agency of Agents
An operations intelligence layer connects telemetry and tickets. Autonomous agents predict incidents, explain root cause, and execute policy-governed fixes.
From Ticket Factories to Autonomous Resolution Engines
IT environments generate far more alerts than humans can safely process. Point solutions chip away at symptoms, but the real bottleneck is the absence of a unifying operations intelligence layer that orchestrates diagnosis and remediation.
Ticket Factories » Agentic Intel
Today
Tier 1 teams spend hours reading, categorizing, and re-routing tickets instead of solving.
With Agivant
Agents enrich, route, and resolve incidents instantly via telemetry and knowledge graph.
Alert Storms » Service Graph
Today
NOCs receive floods of uncorrelated alerts. Humans act as ‘glue’ between disconnected tools.
With Agivant
Signals map to a real-time service graph for automated causal inference and deduplication.
Slow MTTR » Closed-Loop Autonomy
Today
Runbooks exist but are executed manually. High variance in resolution speed and quality.
With Agivant
Runbooks become machine-executable playbooks governed by strict policy and human guardrails.
Operational Shift Summary
CIO Executive Pulse: The shift to agentic IT operations.
Static rules & scripts
Continuous learning from incidents
Three Pillar Framework
Agivant acts as a vendor-neutral intelligence layer sitting above your existing monitoring and ITSM tools.
Unify: Operations Data Fabric
A single, queryable fabric spanning telemetry, tickets, topology, and business context.
How it works
Uses OpenTelemetry collectors, ITSM connectors, and a Lakehouse+Graph DB core.
Why it matters
Eliminates blind spots by merging logs, metrics, traces, and CMDB into one brain.
Understand: Causal Intel & GenAI
Turns fragmented data into understanding of ‘what, why, and impact’.
How it works
Leverages a service graph, anomaly models, and RAG over tickets and KBs.
Why it matters
Delivers automated Root Cause Analysis and contextual explanations instantly.
Autonomize: Policy-Governed
Execution Safely moves from recommendation to action with strict human guardrails.
How it works
Agent orchestration layer executes playbooks in sandboxes governed by RBAC.
Why it matters
Turns static runbooks into secure, automated, closed-loop remediation.
Autonomy Maturity Model
Visualizing the transition from manual work to autonomous intelligence.
Human-Led
Semi-Autonomous
Fully Autonomous
What the System Does
Observability tools, ticketing systems, and knowledge bases exist in silos. No common service graph or data fabric spans them.
What Humans Do
SREs manually read, categorize, and re-route tickets, swiveling between monitoring tools to find root causes and reading static wikis.
Business Value Unlocked
Basic monitoring, slow reaction times.
What the System Does
AIOps unifies telemetry and tickets into a single fabric. AI correlates alerts, drafts RCA summaries, and prepares executable runbooks.
What Humans Do
Engineers query the graph via natural language, review AI-generated diagnoses, and approve or modify suggested fixes with one click.
Business Value Unlocked
Faster MTTR, noise reduction, and offloaded L1 triage.
What the System Does
Agentic AI continuously monitors the estate, detecting anomalies, executing safe remediation playbooks, validating health, and closing tickets fully autonomously.
What Humans Do
Focus on reliability strategy, policy creation, setting SLO guardrails, and reviewing post-remediation audit reports.
Business Value Unlocked
Self-healing infrastructure with compounded operational efficiency.
Client Success Stories
Real-world AIOps results from leading global enterprises.