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Infrastructure Modernization

Modernize Infrastructure Without Starting Over

Legacy tooling and manual workflows can’t keep up with hybrid cloud, compliance, and AI adoption. Itential gives network, cloud, and platform teams the foundation to standardize infrastructure change, enabling proactive, secure, and AI-ready operations across any environment.

Brownfield You Can’t Rip Out

The business runs on decades of network gear, scripts, and tools. Most can’t be replaced. Modernization has to work with the legacy, not despite it.

More Work, Fewer Hands

Headcount is flat or shrinking while the work keeps growing. Senior engineers are retiring. The math of doing more with less doesn’t work without a multiplier.

AI Pressure, No Safe Path

The CEO and board are asking about AI. But scripts, prompt engineering, and ungoverned agent access all create production risk no infrastructure team will accept.

Every Change Is a Risk

Cross-domain changes require manual coordination, manual pre-checks, manual rollback. Production stays running because of seniors who hold it together in their heads. That doesn’t scale.

Current Challenges

Modernize the Legacy. Do It With Less. Add AI Safely.

Every infrastructure leader is being asked to deliver the same impossible combination. Modernize the brownfield environment. Do it with a smaller team losing senior expertise. Bring AI into operations while the board is asking. Without breaking what runs the business. Each pressure alone is hard. All four together break the old modernization model.

Analyst Research

Putting Agents to Work Without Losing Control

AI in infrastructure isn’t slowing down. But most teams have no safe way to deploy it on production. 451 Research lays out the governance foundation that makes agents production-ready at scale.

The Modernization Shift

Legacy Infrastructure Ops vs. Modern, AI-Ready Operations

Most enterprises still run infrastructure operations on script sprawl, siloed tools, and manual change windows. That model can’t keep up with hybrid cloud, compliance pressure, or AI adoption. Itential gives you a governed platform that connects what you have, modernizes how you operate, and makes infrastructure AI-ready. Here’s what changes.

Legacy Infrastructure Ops
Modern, AI-Ready Operations
Fragmented automation, Python, Ansible, and OpenTofu scripts scattered across teams
Existing scripts and playbooks onboarded via Git into a governed platform
Network, cloud, security, and platform teams operating in silos with separate tools
One platform unifies change across network, cloud, security, and platform domains
Manual change windows that overrun, with risky rollbacks and unplanned downtime
FlowAgents take routine work off your team, freeing seniors to do what only seniors can
Compliance checked after the fact, surfacing violations during audits or outages
Compliance enforced continuously on every change, with drift detected and remediated automatically
Tool sprawl that grows with every new initiative, with no single platform to unify it
Open APIs and adapters connect every existing tool, no rip and replace required
No governed path to safely operationalize AI on infrastructure
FlowAgents and external AI execute through the same governed engine as every human change
Legacy Infrastructure Ops
Modern, AI-Ready Operations
Fragmented automation, Python, Ansible, and OpenTofu scripts scattered across teams
Existing scripts and playbooks onboarded via Git into a governed platform
Network, cloud, security, and platform teams operating in silos with separate tools
One platform unifies change across network, cloud, security, and platform domains
Manual change windows that overrun, with risky rollbacks and unplanned downtime
FlowAgents take routine work off your team, freeing seniors to do what only seniors can
Compliance checked after the fact, surfacing violations during audits or outages
Compliance enforced continuously on every change, with drift detected and remediated automatically
Tool sprawl that grows with every new initiative, with no single platform to unify it
Open APIs and adapters connect every existing tool, no rip and replace required
No governed path to safely operationalize AI on infrastructure
FlowAgents and external AI execute through the same governed engine as every human change
The Modernization Path

Modernize Without Starting Over

Infrastructure modernization isn’t a single project, it’s a phased operating model upgrade. The teams getting it done aren’t ripping and replacing. They’re consolidating what they have, putting agents to work on the routine work that’s burying their team, governing every action regardless of who triggered it, and operating like a modern platform team. Four stages. One foundation. Real outcomes the board can measure.

Stage 1: Consolidate What You Already Have

Bring Every Tool & Script Into One Platform, Without Rebuilding Anything

Modernization can’t start by adding more work to a team that’s already underwater. Itential connects to the automation and tools your team already runs, Ansible, OpenTofu, Python, ServiceNow, cloud providers, network controllers, ITSM, CMDB, and brings them all under one platform. Every existing script becomes a governed, API-accessible service. Every existing tool keeps doing its job, now coordinated instead of isolated. No new code to write. No vendor to migrate to. The work your team has already done becomes the foundation everything else runs on.

Brownfield Onboarding via Git

Connect to GitHub, GitLab, or Bitbucket. Every committed script and playbook syncs automatically, governed, versioned, and callable by any authorized team or workflow.

Unlimited Ecosystem Integrations

ServiceNow, Ansible, OpenTofu, Cisco, Palo Alto, AWS, Azure, and a thousand more. Open APIs and adapters connect every existing tool without custom integration code.

Your Team Keeps Its Tools, Loses the Sprawl

No fight over tool standardization. Network, cloud, security, and IT keep what they already know. The platform unifies what they produce.

Stage 2: Put Agents to Work on the Low-Hanging Fruit

Move Faster Without Hiring by Letting FlowAgents Do the Routine Work

Most of what’s burying your team isn’t hard, it’s just relentless. Service requests, drift remediation, alert triage, config validation, rollback after failure. FlowAgents take that work off the team’s plate. Build a FlowAgent in minutes with explicit boundaries and approval gates. Drop it into your existing workflow. It handles the routine while your engineers handle what only your engineers can. The time-to-value isn’t 18 months of scripting and training, it’s days. Your seniors stop firefighting. Your juniors operate at senior level. Your team scales without adding headcount.

FlowAgents in Minutes, Not Months

Build a goal-based FlowAgent with explicit tool allowlists and autonomy levels. Deploy in minutes. No new code, no model training, no separate AI stack. The platform is the runtime.

Routine Work Off, Senior Work Up

FlowAgents handle the repeatable work, service requests, drift remediation, alert triage, post-incident validation. Your engineers focus on architecture, new services, and the work AI can’t do.

icon of streamlined processes
Close the Skills Gap, Without Hiring

Junior engineers operate at senior level because the platform enforces the controls senior engineers would have applied. The institutional knowledge isn’t in any one person’s head, it’s in the platform.

Stage 3: Govern Every Action, Human or Agent

One Engine Where Every Change Runs the Same Way

Agents move fast, but only if every action is safe to take. Itential is the platform where every change runs through the same governed engine, regardless of who or what triggered it. Human-initiated changes, FlowAgent actions, ServiceNow tickets, alerts, scheduled compliance runs, all execute with the same pre and post validation, blast-radius controls, audit trail, and rollback. Deterministic execution underneath agentic reasoning. AI when you need it, deterministic when you don’t. The control is what makes the speed possible.

Agentic at the Top, Deterministic Below

FlowAgents reason through complexity at the top. Deterministic workflows execute with certainty underneath. Both in a single execution, AI when you need it, deterministic when you don’t.

One Governed Path, Every Trigger

Human, FlowAgent, ServiceNow ticket, alert, scheduled run, every change runs through the same engine, the same pre and post validation, the same audit trail. No separate AI execution path. Ever.

the logo for Model Context Protocol (MCP)
External AI via MCP, Same Controls

Connect external LLMs, AIOps platforms, and AI systems through the Itential MCP Server. Schema-validated, authenticated, authorized before anything runs. No direct infrastructure access. Ever.

Stage 4: Operate Like a Modern Platform Team

Turn Infrastructure Operations Into a Self-Service Product

Once routine work is off your team and every action runs through one governed engine, the final shift is how the team itself operates. Workflows become a published catalog of services any authorized team can consume. CAB stops reviewing every ticket and starts reviewing patterns. Audit evidence is generated as a byproduct of execution, not assembled quarterly. Continuous compliance runs against every device, all the time. Your team moves from fulfillment queue to platform team. That’s modernization, the way the board has been asking about.

Workflows Become a Self-Service Catalog

Every governed workflow becomes a catalog item. App teams, security, ITSM, even FlowAgents consume on demand. Your team builds the catalog once, everyone uses it.

Continuous Compliance, Not Quarterly Fire Drills

Golden config standards run against every device all the time. Drift detected at the attribute level. Audit evidence captured continuously. Audit prep becomes a report pull.

Day 0 to Decommission, One Lifecycle

Provisioning, configuration changes, upgrades, and decommission all run through the same governed lifecycle, with persistent state tracked at every step.

When you’re operating infrastructure at Lumen’s scale, the question was never whether AI could help, it was whether we could trust it in production. FlowAI answered that. Our teams were building production-ready agents in minutes, within the same governance and access controls we already rely on. As we build the next digital backbone for AI, this is the next evolution in our journey with Itential, and it’s redefining how we operate networks at scale.
Image of Greg Freeman
Greg Freeman
VP Network & Customer Transformation, Lumen
Success in the Numbers

Measure What Matters

Modernization shows up in four ways: faster change, less manual work, automatic audit evidence, and AI that runs through the same controls as everything else.

80%
Faster Change Delivery
From legacy change windows that took weeks to governed delivery in hours. Faster digital services. AI-ready operations.
90%
Manual Effort Eliminated
FlowAgents take routine work off your team, drift remediation, alert triage, service requests, post-incident validation, so your engineers focus on what only they can do.
60%
Faster MTTR
Orchestrated, policy-driven response paths trigger automatically from observability or ITSM events. No human in the loop on routine remediation.
100%
Audit Evidence Captured Automatically
Compliance enforced continuously on every change. Audit evidence generated as a byproduct of execution, not assembled quarterly.
Zero
Separate AI Execution Paths
FlowAgents and external AI execute through the same governed engine as every human change. No separate AI execution path. Ever.
Accelerate Transformation
These aren’t just operations metrics, they’re modernization enablers. Without orchestration, teams are stuck optimizing scripts. With Itential, they’re accelerating transformation.
Learn More from Our Customers
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Modernize on the Platform Your Team Will Actually Use

No rip-and-replace. No new vendor war. Your existing automation, FlowAgents on the routine work, governed execution on every action. Modernization that ships.

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The Latest in Infrastructure Modernization

Frequently Asked Questions

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Most enterprises start with one high-volume pain that’s burying the team: drift remediation, service request fulfillment, alert triage, or a recurring change type. Bring the existing automation for that pain into the platform via Git, wrap it with governance, and deploy a FlowAgent to handle the routine version. Prove the operating model on something that matters, then expand. Most customers see meaningful results within 30 to 60 days.

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The four stages are a maturity model, not a sequential deployment requirement. Most teams start with Stage 1 (consolidate what they have) and Stage 2 (FlowAgents on the routine work) because that’s where time-to-value is fastest. Stage 3 and Stage 4 typically follow as the operating model takes hold. You can also enter directly at Stage 2 if your existing automation is already in good shape and your immediate pressure is doing more with less.

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Infrastructure modernization is cross-functional by design. Platform engineering typically owns the platform itself and the catalog. Network, cloud, and security teams contribute the workflows within their domains. CAB and risk teams define the governance applied across all of it. The most successful programs assign a single executive sponsor (VP Infrastructure, CTO, or similar) and a working team that spans the three domains.

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Itential is the platform your SI or consultancy delivers on, not a competitor to them. Consultancies use Itential to ship modernization faster, with less custom code and more reusable assets. Most large customers run their initial deployment with a partner and then expand on their own as the operating model takes hold. Our partner ecosystem includes Accenture, Capgemini, Deloitte, NTT Data, and others.

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Hyperscaler-native tools work well inside their own cloud. Itential is the platform for everything else, your network, your on-premises systems, your hybrid environments, your existing automation, and the cross-domain orchestration none of the hyperscaler tools handle. Most enterprise modernization programs need both: hyperscaler tools for cloud-native services, Itential for the unified governance across every domain.

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Your existing Ansible playbooks, Python scripts, and OpenTofu plans become governed catalog items on the platform without rewriting a line. Git is the source of truth. Every committed change syncs automatically. Your engineers don’t throw out their work, they get a platform that makes their work consumable by everyone else with the same governance applied automatically.

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Itential is built to work with ServiceNow and existing CAB processes, not replace them. ServiceNow handles request routing, approval workflow, and ticket lifecycle. Itential executes the change across infrastructure, updates the ServiceNow record at every step, and closes the ticket with full evidence attached. The CAB continues to define what changes need approval and what risk tiers apply, Itential enforces those decisions at execution time, automatically.

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FlowAgents operate within explicit boundaries you define: tool allowlists, autonomy levels (human-in-the-loop for high-risk, human-on-the-loop for routine), and the same RBAC, approval gates, and audit trail every other action runs through. External LLMs and AIOps platforms connect via MCP with schema validation and authentication before anything runs. The same governance you already trust on human changes applies automatically to every FlowAgent action.