Orchestrate Infrastructure Changes Across Every Domain

Every workflow published on the platform is automatically registered as a callable tool with a defined schema: structured inputs, defined outputs, governed execution. FlowAgents select from their allowlisted tool library at runtime. When an agent calls a workflow, it passes structured inputs, the workflow executes deterministically through the execution engine, and the result is returned to the agent as structured output. External AI systems invoke workflows the same way through the Itential MCP Server, schema-validated and RBAC-enforced before anything runs.

Itential Builder Skills (available on the Anthropic Marketplace) are the productized form of Spec-Driven Development for workflow orchestration. Every workflow orchestration capability is exposed as a documented REST API endpoint, and the Itential MCP Server exposes those APIs as callable skills. Describe the workflow in plain language. The Builder Skill calls those REST APIs directly to construct the workflow artifact, commits it to Git, and CI/CD deploys it automatically. The output is a real platform artifact, identical in schema, governance, and execution behavior to a workflow built manually on the Design Studio canvas. No code review required. No separate deployment step.

Yes. Connect to your GitHub, GitLab, or Bitbucket repo. Every committed script, playbook, and plan syncs automatically and becomes a callable workflow step executed via Itential Gateway. The execution layer handles Python virtual environments, dependency management, and concurrent execution. The platform injects secrets, enforces RBAC, and captures a full audit trail for every execution. Engineers keep building in their IDE. The platform handles how those artifacts get executed, versioned, and governed.

State is captured before the first step runs. If any step fails, automated rollback triggers immediately, restoring every affected system to its exact pre-execution state across every domain and device touched. No manual recovery. No partial states. Job Viewer shows the complete execution path: what ran, what failed, what rolled back, the exact failure reason, and the before/after state of every system touched. The complete record is always exportable.

Ansible Automation Platform is excellent at what it was built for: executing configuration tasks against infrastructure targets. But task execution is not orchestration. AAP runs a playbook against a set of hosts. It doesn’t coordinate across domains, manage service lifecycle state, enforce pre/post validation across multi-step changes, provide human-in-the-loop approval gates, or give AI agents a governed execution layer to call workflows as tools. Itential orchestrates Ansible. Your existing Ansible playbooks run inside Itential workflows as governed steps, with approval gates, blast-radius controls, rollback, and audit trails added automatically. Engineers keep writing Ansible. Itential handles what happens when that Ansible runs in a production multi-domain environment where a failure at step 3 means rolling back steps 1 and 2 across 10,000 devices.

AIOps platforms like IBM Concert are built to surface insights: correlating telemetry, identifying anomalies, and recommending actions. The gap is always the same. The insight can’t become a governed infrastructure action without an execution layer. An AIOps platform can detect that 500 devices are running vulnerable software. It cannot generate the remediation workflow, validate pre-conditions across every affected device, execute the fix in parallel, confirm post-change state, and produce an audit report, all within defined approval gates and blast-radius limits. Itential is the execution layer that closes the gap. AIOps platforms connect to Itential via MCP or direct API: detections trigger governed Itential workflows, execute deterministically, and return structured results back to the AIOps platform for closed-loop awareness. The insight and the action finally connect.

ServiceNow is the system of record for IT process: tickets, approvals, change requests, CMDB. It’s exceptional at managing the who, what, why, and when of infrastructure changes. What it doesn’t do is execute the actual infrastructure change. Pushing configuration to network devices, provisioning cloud resources, updating CLI systems, validating pre and post conditions across domains. Itential executes what ServiceNow approves. A ServiceNow change request triggers an Itential workflow. Itential validates pre-conditions, executes the change across every required domain via Itential Gateway, runs post-checks, and closes the ServiceNow ticket with execution evidence attached. ServiceNow handles process. Itential handles execution. They’re designed to work together, not replace each other.