Agentic Operations

Transform Infrastructure Operations into Intelligent, Autonomous Systems

Traditional automation can’t reason, adapt, or make context-aware decisions at the scale and speed modern infrastructure demands. The Itential Platform and FlowAI empowers network, cloud, and infrastructure teams to deploy intelligent agents that interpret intent, reason through operational challenges, and execute actions safely – all within enterprise-grade governance frameworks that ensure security, compliance, and trust.

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Current Challenges

Traditional Automation Can't Keep Pace with AI Era Infrastructure Demands

Most enterprises still rely on rigid, script-based automation that requires constant human intervention. These deterministic-only approaches create bottlenecks, fail to adapt to changing conditions, and prevent organizations from realizing the operational velocity promised by AI. To unlock autonomous infrastructure operations, teams need systems that can reason, decide, and act – with governance built in from the start.

Rigid, Predefined Workflows

Static scripts and runbooks can't adapt to dynamic conditions, edge cases, or multi-step scenarios requiring context-aware decision-making.

AI Without Governance = Production Risk

Point AI solutions bypass established workflows, approvals, and audit trails, creating uncontrolled blast radius and compliance exposure.

AIOps Disconnected From Taking Action

AIOps insights, LLM recommendations, and observability alerts generate recommendations but can't safely execute changes across production infrastructure.

Manual Intervention at Scale

Even with automation, human operators must interpret context, coordinate across domains, and manually initiate multi-step remediation - limiting operational velocity.

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Building Agentic Operations at Scale

See how Itential’s AI Integration & Orchestration platform delivers the governance, instrumentation, and deterministic execution layer that makes agentic operations production-ready.

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Why It Matters

Why Agentic Orchestration Is Essential for Infrastructure Operations

AI-driven insights alone aren’t enough. Enterprises need a trusted execution layer that connects reasoning systems to real infrastructure actions – with governance that ensures safety, auditability, and compliance. Agentic orchestration isn’t about replacing human judgment; it’s about augmenting operational teams with intelligent systems that reason through problems, construct solutions, and execute with precision.

Accelerate Mean Time to Resolution (MTTR)

AI agents diagnose issues, reason through remediation paths, and execute fixes autonomously – reducing incidents from hours to minutes.

Scale Operations Without Scaling Teams

Intelligent agents handle repetitive, context-aware tasks, freeing engineers to focus on strategic initiatives and complex problem-solving.

Enable Adaptive, Context-Aware Operations

Agents interpret operational state, adapt to changing conditions, and execute multi-step workflows without human coordination.

Reduce Risk Through Governed Autonomy

Every agent action flows through policy-enforced workflows with built-in approvals, audit trails, and rollback mechanisms.

Operationalize AI Safely Across Infrastructure

Connect AIOps platforms, LLMs, and external agents to infrastructure through secure, governed interfaces – no direct system access.

Future-Proof Infrastructure for AI Innovation

Build on an extensible framework that evolves with emerging AI capabilities while maintaining consistent governance and control.

THE ITENTIAL PLATFORM

Itential is The Platform Built for Agentic Operations at Scale

Itential is the infrastructure orchestration platform that powers agentic operations across hybrid environments. FlowAI extends the Platform with purpose-built agentic capabilities – enabling enterprises to deploy intelligent agents that combine AI reasoning with deterministic, governed execution. From AI-driven event detection to agent-initiated workflows, Itential provides the secure orchestration layer that transforms AI insights into trusted infrastructure actions.

FlowAgent Builder

Create Role-Based AI Agents with Governed Toolsets

Design custom AI agents with specific personas, reasoning models, and operational responsibilities  defining exactly what each agent can see, propose, and execute within your infrastructure environment.

  • Assign Granular Access & Toolsets
    Grant agents access to specific Projects, workflows, APIs, Gateway services, and MCP tools with granular RBAC, ensuring each agent operates within defined boundaries and can only invoke approved capabilities.
  • Establish Policy-Based Guardrails
    Configure guardrails that determine what agents can observe, reason about, propose, and execute – embedding organizational policies, compliance requirements, and operational constraints directly into agent behavior.
  • Infuse Agents with Infrastructure Context
    Build agents that understand network topology, device configurations, dependency relationships, and operational state – enabling context-aware reasoning that adapts to real-time infrastructure conditions.
Deterministic Workflows

Ensure Every Agent Action Flows Through Deterministic Workflows

AI agents reason and construct plans, but the Itential Platform executes all actions through validated, auditable workflows – maintaining complete control, compliance, and traceability for every infrastructure change.

  • Separation of Reasoning & Execution
    Agents reason and construct plans; Itential Platform executes actions through deterministic, validated workflows – creating a clear boundary between AI-generated proposals and infrastructure changes that ensures safety and predictability.
  • Policy Enforcement & Approval Gates
    All agent-initiated actions pass through policy checks, approval gates, and compliance validation before execution – routing high-risk changes through human review while allowing low-risk operations to proceed autonomously.
  • Complete Audit Trails & Rollback
    Capture agent reasoning, tool invocations, workflow execution steps, approval decisions, and results in immutable audit logs – with built-in rollback mechanisms and error recovery for instant remediation when changes don’t produce expected outcomes.
FlowMCP Server

Integrate LLMs & External Agents Safely Under Governance

Connect external AI systems like ChatGPT, Claude, and Gemini, as well as external agents to infrastructure operations through FlowMCP Server, exposing governed workflows as MCP tools while preventing direct, uncontrolled access to production environments.

  • Standards-Based AI Integration via MCP
    FlowMCP Server, built on the Itential open-source Model Context Protocol (MCP), connects external AI systems and custom-built agents to Itential Platform through strict schema-based contracts that define exactly what operations are permissible.
  • Expose Platform Workflows as MCP Tools
    Surface Platform workflows, automations, and integrations as MCP tools that external AI systems can discover and invoke – all operating under RBAC, policy enforcement, and approval workflows without bypassing governance controls.
  • Contract-Bound, Auditable AI Access
    No AI system accesses infrastructure directly; all interactions are contract-bound through MCP interfaces, auditable in Platform logs, and policy-compliant, ensuring external AI operates within enterprise security and compliance boundaries.
AI-to-Action Orchestration

Connect AI Systems to Infrastructure with Governed Workflows

Itential bridges AI reasoning and infrastructure execution through four integration modes – enabling AIOps remediation, agent-initiated workflows, embedded AI within orchestration, and MCP-based agentic operations across your entire ecosystem.

  • AI-Driven Event Detection & Automated Remediation
    Connect AIOps and observability platforms to automatically respond to anomalies with policy-compliant workflows – ingesting events, orchestrating cross-domain remediation, and closing loops in ITSM systems.
  • Agent-Initiated Workflow Triggering
    Allow LLMs and AI agents to initiate secure, auditable workflows through API triggers – applying governance, approval gates, and maintaining full traceability for every agent-requested action.
  • Agentic Orchestration via MCP Server
    Translate AI intent into infrastructure action using the MCP Server governance layer – enabling agent-to-agent collaboration where one detects, another queries, and Itential executes under full compliance and audit control.
Resilient Architecture

Deploy Agentic Operations Across Distributed Infrastructure

Scale agentic operations from pilot projects to enterprise-wide deployment with architecture designed for performance, resilience, and security -supporting thousands of concurrent agent executions across hybrid environments.

  • Horizontal Scaling Without Degradation
    Horizontal scaling architecture supports thousands of concurrent agent executions without performance degradation – enabling multiple agents to operate simultaneously across network domains, cloud regions, and operational teams.
  • High Availability & Disaster Recovery
    High availability and disaster recovery architecture ensures agentic operations remain resilient during infrastructure failures – with automatic failover, state persistence, and recovery mechanisms that prevent operational disruption.
  • Security & Compliance at Every Layer
    SSO integration, RBAC enforcement, secrets management, policy validation, and audit logging operate at every architectural layer – from agent reasoning through workflow execution to infrastructure API calls -ensuring compliance without exception.
Real-Time Infrastructure Context

Give Agents the Context They Need to Reason Effectively

Agents can only act responsibly when they have accurate insight into the environment. Through integrations, adapters, and the Automation Gateway, the Platform exposes telemetry, state, and operational context that transforms generic AI into infrastructure-aware intelligence.

  • Real-Time Infrastructure State & Telemetry
    Agents access live device configurations, topology data, performance metrics, and operational telemetry across network, cloud, and security systems – understanding current infrastructure conditions before proposing any action.
  • Operational Dependencies & Service Relationships
    FlowAgents reason using enterprise context – understanding which services depend on which infrastructure, how changes impact connected systems, and what compliance requirements apply to each operational domain.
  • 300+ Pre-Built Integrations for Full Stack Visibility
    Connect agents to controllers, APIs, scripts, cloud services, network devices, ITSM platforms, and observability tools – forming the instrumentation layer that gives agents comprehensive awareness across your entire infrastructure environment.
SUCCESS IN THE NUMBERS

Measure What Matters: The Impact of Agentic Operations

Agentic orchestration delivers measurable improvements across velocity, resilience, efficiency, and innovation capacity.

90%
Faster MTTR
Autonomous agents diagnose and remediate issues without manual coordination.
10×
Operational Velocity
Intent-to-execution workflows complete in minutes instead of hours or days.
70%
Reduction in Toil
Agents handle repetitive, context-aware tasks autonomously.
100%
Audit Coverage
Every agent action logged with full reasoning trail and execution details.
0
Direct Infrastructure Access
AI systems operate through governed MCP interfaces only.
Accelerate Transformation
These aren't just efficiency metrics, they're strategic enablers. With Itential, infrastructure teams transform from reactive firefighters into proactive innovation drivers.
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Frequently Asked Questions

Agentic Operations for Infrastructure is an operating model where AI agents can interpret intent, reason over operational context, and plan infrastructure actions, while execution is performed through a governed, deterministic automation and orchestration control plane that enforces policy, approvals, auditability, and verification across hybrid environments.

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Traditional automation executes predefined scripts. Agentic orchestration enables AI systems to reason through problems, adapt to context, construct multi-step plans, and execute actions safely – all within governed workflows that ensure compliance and auditability.

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No. FlowAI connects to and extends your existing automation ecosystem – including Ansible, Terraform, Python scripts, and vendor APIs. Agents orchestrate across these tools, combining them into intelligent, end-to-end workflows.

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FlowAI separates reasoning from execution. Agents reason and plan, but all actions flow through deterministic Platform workflows with policy enforcement, approval gates, and audit logging. Agents never directly access infrastructure – every action is validated and governed.

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Yes. The Itential FlowMCP Server enables secure integration with external LLMs and AI agents via Model Context Protocol. These systems can request actions, but execution occurs only through governed Platform workflows with full RBAC and audit controls.

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Traditional chatbots provide information or trigger simple tasks. FlowAgents are infrastructure-aware reasoning systems that understand operational context, construct complex multi-step workflows, coordinate across domains, and execute safely within enterprise governance frameworks.

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Absolutely. FlowAI integrates with AIOps platforms (Selector, Moogsoft, BigPanda), observability tools (Datadog, New Relic, Dynatrace), and monitoring systems to turn AI-generated insights into automated, governed remediation actions.

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FlowAI is used across infrastructure, network, cloud, platform engineering, and SRE teams. Any team managing hybrid infrastructure can deploy agents to automate provisioning, remediation, configuration management, and operational workflows.

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GET STARTED

Start Building Agentic Operations with Confidence

Let’s help you operationalize AI agents safely across your infrastructure – with governance that ensures trust, security, and compliance.

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