Provisioning is only one step. See how the Itential Platform combines FlowAgents, governed workflows, and secure execution to coordinate complete infrastructure operations.
Infrastructure as Code has transformed how teams provision cloud resources. But completing a Terraform or OpenTofu run does not mean an application is ready for production.
The complete operation may still require network connectivity, routing, firewall policy, DNS, IPAM, approvals, ITSM updates, validation, and changes to systems outside the cloud. These dependencies often sit beyond the IaC workflow, leaving builders and operators to coordinate them manually.
Not every part of that process needs an agent, and not every part should be left to static automation.
In this live technical webinar, see how the Itential Platform brings both approaches together. A FlowAgent handles the variable, context-heavy work: interpreting the request, evaluating live infrastructure conditions, and determining which approved capabilities are needed. Governed workflows coordinate the end-to-end process, including approvals and validation. Itential Gateway, the platform’s execution engine, runs trusted automation close to the infrastructure.
The result is one governed operation spanning cloud, network, security, and operational systems – from the initial request through execution and validation.
If your team already uses Terraform, OpenTofu, Ansible, Python, APIs, or CI/CD pipelines, this session will show you how to extend those investments rather than replace them.
You’ll see where agentic reasoning adds value, where deterministic automation remains essential, and how the Itential Platform brings both together in one governed operating model for builders and operators.
AI handles the variability. Your existing automation performs the work. Itential coordinates and governs the complete operation.
Infrastructure as Code can provision cloud resources quickly, but network connectivity, security policies, DNS, IPAM, approvals, ITSM updates, and validation still have to happen before the service is ready for production. That takes manual time and coordination efforts across separate tools and teams. This webinar shows how to close that gap by using AI agents for the variable, context-heavy decisions and deterministic automation for the work that executes predictably.
The result is an end-to-end process from initial request through to provisioning, execution, and validation that takes place under one governed operating model.