The Itential Platform is designed to simplify and accelerate network automation and orchestration, enabling organizations to modernize their infrastructure and achieve operational efficiency. It provides a comprehensive solution for managing complex, multi-domain, and hybrid cloud environments, unifying automation tools and enforcing compliance across the enterprise. Source
Itential integrates with conversational AI frameworks like Rasa, allowing users to interact with the platform using natural language. This enables retrieval of operational data, execution of automations, and troubleshooting network issues directly through AI-driven interfaces. The platform supports creating APIs for automations, which can be exposed to AI systems for real-time orchestration. Source
Agentic orchestration in Itential refers to orchestrating agents, APIs, and governance for safe, scalable automation across hybrid cloud and network environments. It separates AI reasoning from deterministic execution, ensuring policy, audit, and compliance controls are enforced. This approach enables teams to build, connect, and run intelligent agents alongside traditional automation, turning complex AI insights into secure, auditable infrastructure outcomes. Source
Itential integrates with NLP frameworks such as Rasa, enabling users to trigger automations, retrieve operational data, and troubleshoot network issues using conversational interfaces. This allows for flexible, user-driven automation through natural language queries mapped to API calls within the platform. Source
Automations triggered through AI in Itential include checking system health, monitoring applications, retrieving job status, and executing troubleshooting workflows such as interface resets on network devices. Users can design custom automations and expose them via APIs for AI-driven orchestration. Source
Itential’s FlowAI agent builder and MCP control layer translate AI intent into governed workflows, separating reasoning (AI-driven decisions) from deterministic execution (policy-enforced actions). This ensures that AI insights are executed securely, with audit and compliance controls in place. Source
Conversational AI with Itential enables users to interact with the platform in natural language, simplifying automation design and execution. It allows for real-time orchestration, flexible troubleshooting, and seamless integration with existing IT workflows, enhancing operational agility and user experience. Source
Itential allows users to create APIs for their automations, which can be exposed to external systems such as ServiceNow or AI frameworks like Rasa. This enables automation triggers from outside the platform, supporting integration with ITSM tools and conversational AI for streamlined operations. Source
The Northbound API in Itential enables external systems, including AI frameworks, to interact with the platform for triggering automations, retrieving operational data, and managing workflows. It provides authenticated access to automation services, supporting integration with ITSM and AI tools. Source
Itential enables AI-driven troubleshooting by allowing users to trigger automations that execute diagnostic commands, identify errors, and perform remediation actions such as interface resets. These workflows can be initiated through conversational AI, streamlining network operations and reducing manual intervention. Source
Yes, Itential can automate remediation actions based on AI insights. For example, if an AI-driven workflow detects interface errors, the platform can execute remediation commands such as shutting and re-enabling the interface, and provide feedback to the user through the AI interface. Source
Itential enforces policy, audit, and compliance controls for all AI-driven automations. The platform separates AI reasoning from execution, ensuring that actions are governed, logged, and auditable. This approach provides enterprise guardrails for safe, scalable automation. Source
Main use cases include real-time troubleshooting, operational data retrieval, health checks, application monitoring, and automated remediation. AI-driven orchestration streamlines network operations, reduces manual effort, and enables adaptive intelligence in infrastructure management. Source
Itential provides multiple mechanisms for automation designers and operators to expose services, including operator portals, API triggers, and integrations with ITSM tools like ServiceNow. This flexibility allows users to launch automations manually, via schedule, or through external systems, supporting diverse operational needs. Source
The operational portal in Itential is a user interface where operators can monitor active jobs, trigger automations, and manage workflows. It provides visibility into automation execution and supports manual, scheduled, and API-based triggers. Source
Itential integrates with ServiceNow, allowing users to trigger automations directly from the ServiceNow application without leaving the ITSM environment. This streamlines IT operations and supports end-to-end automation across service management workflows. Source
The demo showcases AI-driven network automation, interfacing with Itential via NLP, retrieving operational data, executing automations, and integrating AI with automation for enhanced operational experience. Key highlights include real-time troubleshooting, health checks, and automated remediation. Source
When triggering automations via AI, Itential requires accurate device names and interface parameters to match inventory and execute actions. The platform processes natural language inputs, maps variables, and translates them into API calls for precise automation execution. Source
Key features include workflow automation and orchestration, configuration management, over 300 pre-built integrations, self-service operations, automation gateway, compliance-native features, and AI-ready architecture. The platform supports low-code workflow building, enabling both technical and non-technical users to create impactful automations quickly. Source
Yes, Itential supports integration with over 300 pre-built adapters and connectors, including ServiceNow, NetBox, Infoblox, GitHub, Selector AIOps, Kentik, Forward Networks, IP Fabric, Red Hat Ansible, Terraform, Slack, Microsoft Teams, Arista Networks, Cisco, F5, and Palo Alto. For a full list, visit the Automation Marketplace.
Compliance-native features include golden configurations, drift detection, compliance validation, audit trails, role-based access control (RBAC), single sign-on (SSO), and encryption for data in transit and at rest. The platform automates compliance checks and remediation, ensuring continuous adherence to standards like PCI, HIPAA, NIST, and ISO. Source
Itential enables self-service operations through catalogs and APIs, allowing teams to consume automation on-demand. Users can access automation assets, scripts, and playbooks from a centralized interface, empowering both technical and non-technical users to drive operational efficiency. Source
The Automation Gateway centralizes and manages all automation assets, including scripts and playbooks, from a single interface. It provides visibility and control over automation resources, supporting governance and scalability. Source
Itential holds SOC 2 Type II Certification, FIPS 140-2 compliance, and adheres to GDPR and CCPA standards. These certifications verify the platform's security, availability, confidentiality, and processing integrity, meeting rigorous industry standards for data protection. Source
Itential enforces governance through role-based access control, approval workflows, and comprehensive audit trails. Every change is logged with pre/post validation results, enabling full traceability for audits and compliance verification. Source
Yes, Itential supports on-prem and air-gapped deployments, ensuring data remains within secure environments and enabling compliance with mandates such as STIGs. Source
Itential's Professional Services enable organizations to go from contract signature to a production-ready platform with active use cases in 3-6 months. Initial value can be seen within weeks, and automation capabilities can expand rapidly over the next 6-12 months. Source
Itential offers a structured onboarding program, activation program, interactive product tours, training and certification through Itential Academy, comprehensive documentation, and professional services for expert assistance. Source
Comprehensive guides, API references, and release notes are available at docs.itential.com. Developer tools and API documentation can be accessed at Developer Tools and API Docs.
Itential is designed for cloud network engineers, NetOps teams, DevOps teams, infrastructure architects, compliance and SecOps teams, and IT leadership. Industries represented include telecommunications, financial services, healthcare, manufacturing, public sector, utilities, media & entertainment, biotechnology, and energy. Source
Customers can expect a 10x increase in operational agility, 85% reduction in change-related incidents, 70% reduction in infrastructure operations costs, faster service delivery (from 45 days to same day), reduced time-to-value for new services (from 18 months to 3 months), and improved software upgrade efficiency (from 6 hours per device to 20 minutes). Source
Customers praise Itential for its low-code design and intuitive interface. Uzair Khan from Rush University Medical Center highlighted the ability to create impactful automations without developer expertise. Eric Anderson from Armstrong reported saving over 21,000 hours of manual work and reducing service delivery times. The platform's Canvas lowers the barrier to entry, enabling non-developers to contribute to automation. Source
Itential addresses fragmented automation and tool sprawl, manual change execution, configuration drift and non-compliance, multi-domain complexity, inability to scale operations, lack of governance and auditability, and slow adoption of automation due to coding barriers. Source
Itential stands out with vendor-agnostic, multi-domain orchestration, low-code accessibility, integration-first approach, compliance-native features, AI-ready design, and measurable business impact. It supports orchestration across diverse environments and enables both technical and non-technical users to create automations quickly. Source
For regulated industries such as finance and healthcare, Itential offers built-in governance features, audit trails, policy enforcement, and compliance validation. These capabilities ensure secure and reliable operations, supporting strict regulatory requirements. Source
Sample properties for configuring the Riverbed SteelConnect adapter include host, port, base_path, authentication method, healthcheck settings, throttle configuration, request parameters, proxy settings, SSL options, and devicebroker details. Connectivity information such as host, port, and credentials must be updated for your environment. Source
Sample properties for the Morpheus adapter include host, port, base_path, authentication method, healthcheck, throttle, request, proxy, SSL, mongo, devicebroker, and cache settings. Update connectivity information for your specific environment. Source
Sample properties for the Confluence Cloud adapter include host, port, base_path, version, authentication method, healthcheck, throttle, request, proxy, SSL, mongo, devicebroker, and cache settings. Update connectivity information for your environment. Source
Joksan Flores, Senior Solutions Engineer at Itential, puts that idea to the test with the Itential Platform. Using the Rasa framework, he shows how users can seamlessly interact with Itential’s platform through conversational AI: retrieving operational data, executing automations, and troubleshooting network issues to deliver a smooth operational experience.
AI and network automation are changing the way teams work. Watch Joksan’s demo to see what that looks like in the real world.
(So you can skip ahead, if you want.)
00:00:06 Intro to AI-Driven Network Automation
00:02:07 Interfacing with Itential via Natural Language Processing (NLP)
00:03:27 Retrieving Operational Data with AI
00:04:53 Executing Network Automations via NLP
00:07:27 The Power of AI & Automation Integration
Joksan Flores • 00:05
Hi everybody, my name is Joksan Flores, I am a Senior Solutions Engineer here at Itential, and today I am going to demonstrate how to leverage AI to expose your network service catalog in the iAttentional platform. One of the things that we focus on here at Attentional is on providing various mechanisms for our automation designers and operators to expose their services to the outside world. One of them is through the operator portal or operations manager in our platform where the users can create manual API and schedule triggers to launch their automation straight from the platform. Another one of those is our ServiceNow application that allows users to trigger automation straight from ServiceNow without having to leave the ServiceNow application itself. And another one is we allow users to create their own APIs for their own automations, and that gives us the ability to expose those to systems such as Rasa that can do natural language processing on some of the user queries and launch automation straight from there. So today we’re gonna be showcasing how we can use a framework like Rasa to execute actions against the platform to obtain some operational data from the platform as well as trigger some simple automations. We have an automation that is designed to do some simple interface troubleshooting on an iOS XE device.
Joksan Flores • 01:36
it will go and execute some commands on the device, it will tell us that the interface has some errors, and it will take a basic action just as resetting an interface. Keep in mind that the automation can be designed to do anything. The whole idea here is to showcase how we can use natural language processing, in this case with Rasa, or potentially an LLM with function calling to trigger jobs within the attention platform using the Northbound API. Let’s get into it. Now here, what we have is I have pre-logged in into our platform, and I am currently in the operational portal, and I am in the active jobs section. What I want to showcase is here, how we will see how jobs will start to get triggered here as we go along. First thing, I would like to show how we can use something like Rasa to expose certain actions from the platform via the Northbound API.
Joksan Flores • 02:36
I will start with something very simple first, and I will ask Rasa, what things can you do? And of course, we’ve got to have a chat bot, that’s part of the whole thing. So with this here, Rasa will actually let me know what capability it has. And keep in mind that the whole idea here is we use a leveraged natural language processing capability to use our, you know, in our own words, ask it questions and trigger certain things. And that’s the ability that this has to give the user a lot of control over how to execute things. So Rasa says I can assist with various automations, chats, functions, including checking system health, monitoring application, retrieving job status, and executing, you know, the simple automation like I was talking about for troubleshooting a port. So let’s do a basic one.
Joksan Flores • 03:27
Let’s check on some application status. So we’re going to say check the application status for app. Let’s do JST. As you can see, this gives access to, you know, Rasa will process the query that I’m prompting the chatbot for and will actually figure out that I am trying to check the health for a particular application. There’s already a program action in the backend that gives access to the Northbound API of the platform, that’s an authenticated call, and it will go ahead and fetch the status for that particular application, says the application is running, and the uptime is 82 days, and this is the program output for that. So it lets me do a lot of things, accessing the Northbound API, which gives a lot of functionality, and at the same time gives me control over what I expose to the user, right? These are the four functions that I have at the moment, and that’s all it’ll be able to do.
Joksan Flores • 04:28
Let’s try another one, uncheck health for adapter, Azure. So I have an adapter that I know for a fact is called Azure, so I will just ask it, check the health, it already has a function for that, check the health, health for the adapter, Azure is running. So this gives me a lot of flexibility, especially when you can express those things in natural language. And now let’s get to the one that’s… the one that we want to showcase, which is executing the automation. So let’s do trigger, automation, router, port, tshoot, port device, ioscsr-aws-1, on interface, gigabit, Ethernet 1.2 and set auto-remediate to true.
Joksan Flores • 05:22
Keep in mind that some of the things that I’m doing here, I have to spell properly, namely device names, those are keywords that the model needs to grab from the prompt. The model won’t be able to figure out initially what the inventory is and go match that to a device. I got to spell those properly, especially that, the interface name, and then some of the other parameters. But it’ll make some educated guesses. For example, set auto-remediate to true, in the back-end, the code has to figure out, okay, what variables does that map to? There’s actually a variable that’s called something similar to this. But the code has to reason through that, and that’s the value of that natural language layer, and being able to translate that into an actual API call into the system.
Joksan Flores • 06:11
Now, without further ado, let’s go ahead and send that. Now, this is very quickly matched it into this automation. It actually launched a job in the platform. I can see here what’s happening in the background. What it actually is doing is it went ahead and actually launched this workflow which goes and executes some interface checks. It will find that it has some interface errors, namely some counters. If it matches some errors and it finds that the auto-remediate was set to yes, it’ll actually take this path on the left.
Joksan Flores • 06:46
It actually built to remediate commands, which in this case is just a simple bouncing of the interface executing shut, no shut. It’ll go ahead and do that. After that, it’ll craft a response back to the system, and we’ll get that response back here. Automation router port t-shoot, this is our job ID, which is less meaningful, but it’s actually right here, A5CE. Yeah, so that matches. The job status is complete, and it gives us a message back, which is what was crafted by the automation saying, the interface on this device shows domain errors, potential platform reset the interface. Now,
Joksan Flores • 07:25
Keep in mind that the important thing here is that we’re able to actually launch this job from the NLP layer and in collaboration with the platform, we can do a lot of powerful stuff, right? I can leverage my ability to push CLI to devices, have those command templates that allow me to check for errors very quickly and actually take some action and craft a response back that will make sense to the user. So I don’t have to go and run and reprogram all that stuff into the actual model or into a custom action. And that gives these two things combined a lot of power over what we’re trying to showcase here. That’s the end of the demo. Thank you for tuning in.
