IT Operations That Resolve Before You're Paged
IT Operations teams manage thousands of assets, tickets, and configurations across sprawling environments. ElixirData deploys governed AI agents that understand your full IT landscape through the Context Graph — resolving issues autonomously while producing evidence for every action taken
The Challenge
IT Operations Runs on Tribal Knowledge That AI Can't Access
Enterprise IT environments are highly interconnected, yet operational knowledge lives in silos, outdated systems, and undocumented dependencies that AI agents cannot reliably access or reason over
Operational knowledge lives outside structured systems
CMDB data becomes stale within days
Ticket resolution requires cross-system correlation
Ungoverned automation introduces enterprise risk
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Stale CMDBs
Asset relationships and service dependencies quickly drift from documented CMDB records, leaving AI agents operating on outdated infrastructure views
Siloed Context
Resolving a single incident requires correlating asset history, incidents, change records, and vendor data across fragmented systems
Ungoverned Automation
Scripts execute technical actions but lack awareness of freeze windows, blast radius, and operational authority boundaries
Knowledge Gaps
Critical environment relationships exist in tribal knowledge, preventing AI agents from making safe, context-aware operational decisions
How It Works
How AI Agents and Context Graph Transform IT Operations
ElixirData compiles your entire IT landscape into a living Context Graph where AI agents resolve issues intelligently, operating within structural policy gates that enforce authority and governance at every action
Context Graph for IT
Maps assets, dependencies, ownership, change history, SLA obligations, vendor contracts, and known issues into a unified temporal model
Asset dependency mapping across services and infrastructure
Change correlation engine linking incidents and releases
SLA-aware prioritization based on business impact
Outcome: Vendor contract context tied to operational assets
Governed AI Agents
AI agents operate within tiered authority boundaries, handling tasks appropriate to their defined operational scope and impact level
Tiered authority model aligned to operational roles
Auto-remediation within approved service boundaries
Change window enforcement for production systems
Outcome: Escalation with full contextual visibility and complete operational impact awareness
Decision Traces for ITSM
Every triage, remediation, escalation, and resolution generates structured, audit-ready decision evidence automatically
ITIL-aligned traces for incident lifecycle tracking
Compliance evidence for IT controls and audits
Resolution analytics across recurring incidents
Outcome: Continuous improvement data from operational patterns
Capabilities
What IT Operations Gets With ElixirData
ElixirData brings contextual intelligence, governed automation, and continuous operational visibility to modern IT environments at enterprise scale
Intelligent Ticket Triage
AI agents analyze tickets against the Context Graph, correlating symptoms, recent changes, and historical incidents
Requests route to the correct teams with full operational context and automated resolution where possible
Reduce L1 workload and accelerate incident resolution times
Living CMDB via Context Graph
The Context Graph continuously maps asset relationships using traffic patterns, deployments, and monitoring signals
Infrastructure dependencies stay current without manual CMDB updates or spreadsheet reconciliation efforts
Maintain accurate service maps without manual maintenance overhead
Governed Auto-Remediation
Pre-approved remediation actions execute within defined policy and authority boundaries automatically
Password resets, restarts, renewals, and access provisioning remain autonomous, traced, and controlled
Automate repetitive fixes without increasing operational risk
Proactive Issue Detection
Agents monitor contextual patterns predicting performance degradation, capacity limits, and expiring certificates
Preventive actions trigger before user impact occurs or SLA thresholds are breached
Shift from reactive firefighting to predictive operations management
Change Impact Analysis
Before execution, agents assess dependency blast radius, SLA exposure, and historical incident correlations
Operational risk is evaluated using real-time service relationships and prior change outcomes
Prevent high-impact incidents from poorly scoped changes
Automated ITSM Reporting
Decision Traces compile structured ITIL-aligned metrics across incidents, resolutions, and root causes
Compliance posture and operational performance reports generate continuously without manual preparation cycles
Deliver fully automated, audit-ready ITSM reporting at any time
Use Cases
IT Operations Scenarios
ElixirData enables intelligent, governed automation across IT operations, combining the Context Graph with AI agents to resolve incidents, manage assets, and maintain compliance
Integrations
Connects to Your Existing Stack
ElixirData seamlessly integrates with the tools your development teams already use, including code generation, testing frameworks, security scanners, and deployment platforms
ITSM Platforms
Monitoring
Identity & Access
Infrastructure
FAQ
Frequently Asked Questions
A traditional CMDB goes stale quickly. The Context Graph continuously maps assets, relationships, ownership, changes, and SLAs for real-time AI reasoning
Within governed authority, agents handle resets, access changes, software installs, renewals, restarts, DNS, and configs, escalating requests beyond their limits
The Context Graph stores historical resolution patterns. Agents use precedent search or compile context to escalate tickets with structured briefings when needed
No. ElixirData integrates with ServiceNow, Jira, and other ITSM platforms, adding Context Graph intelligence, structural governance, and Decision Traces without altering workflows
Ready to Transform IT Operations?
See how ElixirData's Context OS and AI agents deploy over your existing it operations stack in 4 weeks