Itential Lifecycle Manager
Track & Update Infrastructure Data with AI-Powered Stateful Orchestration
Capabilities
Model the Service, Manage the Instance, Prove the Result.
Itential’s Lifecycle Manager (LCM) provides teams with the tools to define, manage, and review data models across your entire infrastructure. With workflows optimized for CRUD operations and AI agents that can reason through service lifecycles, LCM ensures your data is always current and simplifies complex service orchestration.

Always Current State
Service data stays accurate across network, security, and cloud.

Fewer Hand-Offs
Actions run from one workflow, end-to-end across domains.

Evidence On-Demand
Who/what/when for every lifecycle step.

AI-Ready
Instances and actions exposed safely to pipelines/agents.
Resource Models
Define Your Services Once, Use It Everywhere
- Create persistent, reusable Resource Models that capture the structure and required fields for devices and services across domains
- Ingest or align data from CMDB/DDI/Cloud to define what each service instance “is”
- Incorporate both infrastructure details and operational service data in any model
Lifecycle Actions
Orchestrate CRUD with Built-In Guardrails
- Attach low-code workflows to each action so changes follow the same governed path every time
- Validate inputs, enforce approvals, and run pre/post checks automatically
- Publish actions to portals or pipelines to eliminate ticket ping-pong
AI-Ready Lifecycle
Let Agents Act, Within Your Guardrails
- Expose approved create / update / delete actions as APIs for pipelines and Itential MCP connected agents with validated inputs and policy checks
- Enforce SSO/RBAC, risk-tiered approvals, and pre/post validation on every request – AI never bypasses guardrails
- Capture a complete who/what/when trail (request, inputs, outputs) so agent-initiated actions remain auditable and accountable

Instances & State Tracking
See Every Service & Every Change At a Glance
- Instantiate services from models and track status, owners, history, and dependencies
- Compare intended vs. actual state and flag drift for remediation
- Filter and Group instances by name, site, or actions to target work precisely
Event-Driven Updates
Keep Service Data Fresh Without the Swivel Chair
- Trigger updates from monitoring, discovery, or ITSM events so instances stay current
- Sync key fields back to CMDB and other systems of record
- Kick off validation or remediation automatically when something changes
Multi-System Orchestration
One Workflow from Ticket to Outcome
- Coordinate ITSM, IaC (Terraform/Ansible/python), cloud APIs, and device CLI changes in the same workflow Action
- Use validation checkpoints and verification tasks to make complex changes predictable
- Capture logs, diffs, timestamps, and approvers in one place
Reporting & Evidence
Show the Work, Without Extra Work
- Export action history, field changes, and validation results for any instance
- Drill from instance summary to a specific step and outcome
- Hand auditors one clean package of who/what/when for every service
FlowAI
AI Agents + Lifecycle Manager: The Stateful Data Fabric for Agentic Operations
Lifecycle Manager serves as the source of truth that AI agents query before taking action. Through Itential’s Model Context Protocol (MCP), agents can safely interact with lifecycle data to provision resources, manage Day 2 operations, and orchestrate complex service workflows – all with enterprise governance.
- AI Agents Get Full Context – Agents query LCM for current state, historical changes, and service dependencies before deciding what to do – ensuring decisions are based on accurate, real-time infrastructure data, not guesses.
- MCP-Connected Execution
AI agents request actions through MCP, and every request flows through LCM’s established workflows, policies, and approval gates – AI never bypasses your guardrails. - Day 0 Through Day N
Agents can provision, update, validate compliance, optimize, and deprovision resources throughout their entire lifecycle – all orchestrated through LCM pipelines with complete audit trails.

Centralized, Governed Lifecycle Orchestration
One Platform. Many Teams. Centralized Control.
Itential enables engineering, operations, security, and platform teams manage service state and actions from a centralized, governed platform – aligned to your lifecycle and ready for AI.
Security & Compliance
Run lifecycle actions with policy checks, approvals, and audit history by default. Validate before/after changes and produce evidence on demand across hybrid estates.

Engineering & Operations
Stand up and change services with reusable models and governed actions. Eliminate hand-offs, reduce rework, and roll back safely when conditions change.

Platform & AI Teams
Expose approved lifecycle actions as APIs to pipelines and agents – so intelligence triggers only guarded, traceable operations.

IT Leaders & Architects
Standardize how services are defined and changed across domains. Get program-level visibility and consistent proof of outcomes at enterprise scale.

Frequently Asked Questions
What does Lifecycle Manager automate?
Device/software lifecycle: image distribution, staged rollouts, health checks, compliance validation, and rollback. AI agents can also autonomously manage these workflows when connected through MCP.
How does it reduce risk for upgrades?
Canary releases, staged waves, automated rollback, and drift validation ensure safe execution.
Can maintenance windows be enforced?
Yes. Upgrades can be scheduled by policy, respecting blackout periods.
How does it handle multi-vendor upgrades?
Standardized pipelines adapt to vendor-specific steps across devices.
How does AI assist with lifecycle management?
AI agents can query lifecycle state, recommend upgrade paths, generate validation scripts, and autonomously execute Day 2 operations – while Lifecycle Manager enforces policies, approvals, and rollback controls through governed workflows.
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