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The AuthoriOM Platform

The Platform for Model-Based Infrastructure Operation.

AuthoriOM maintains the operating knowledge your team needs for infrastructure decisions. It connects approved sources, models context and intent, checks enabled change paths, and records verified evidence. Managed IOM runs on this platform. Customers can choose Customer-managed, Co-managed, or Fully managed operation.

One model. Two operating capabilities.

An operating foundation for people and AI.

An Infrastructure Operating Model is a maintained, customer-owned model of infrastructure, equipped with human-approved automation and workflow orchestration so people and AI can operate through it within defined authority.

The Data Model

Connects facts, dependencies, ownership, observed state, and approved intent. Maintains governance, authority, verification, and reconciliation, with source, freshness, and unresolved gaps visible.

Human-approved automation

Provides permitted operations. Each invocation is checked against current scope, parameters, conditions, permissions, and required approvals.

Workflow orchestration

Coordinates approved operations through existing tools, including sequencing, dependencies, exceptions, partial failure, verification, and recovery steps.

Reliable AI operations require context, intent, authority, and verification. The IOM brings them together.

Humans and AI request work through the IOM without requiring direct infrastructure access. Authorized integrations retain access and enforce permissions on enabled execution paths. Results and evidence return to the model.

Operate from maintained knowledge

Context informs. Controls govern. Existing tools execute.

The Infrastructure Operating Model combines maintained knowledge with explicit operating responsibilities. A graph alone does not enforce authorization.

Human intent

Accountable people approve requirements and exceptions. Keep observed state, inferred relationships, and approved intent distinct.

Controlled execution

Governance applies to connected, controlled paths. Existing tools perform approved work within defined scope and permissions.

Coverage and reconciliation

Observe out-of-path changes where integrations and freshness permit. Investigate discrepancies, then authorize adoption, correction, or escalation.

One Connected View

See what is running now.

Facts

Assets, services, settings, capacity, owners, health, and change history.

Relationships

Connections, dependencies, service paths, shared resources, and impact.

Rules

Intent, standards, policy, limits, approvals, exceptions, and checks.

The platform keeps this view tied to the live systems. It does not leave it as a static diagram.

What It Does

The platform supports the full IOM loop.

Connect

Read approved sources through supported integrations. Record source, freshness, gaps, and disagreements within the connected scope.

Model

Bring records into one view and map how the parts depend on one another.

Set rules

Record intent, standards, owners, limits, approvals, exceptions, and required checks.

Compare

Show drift, missing owners, policy issues, old links, and change made outside the path.

Govern

Apply context, policy, permissions, and required approvals on enabled execution paths. Hold unresolved proposals for investigation.

Apply

Use Terraform, Ansible, APIs, controllers, workflows, scripts, and other approved paths.

Verify

Compare observed configuration and service results with intended conditions. Record evidence and mismatches; unexpected state does not become approved intent automatically.

The Operating Evidence

See the platform through the operating evidence it produces.

A representative connected change shows the context AuthoriOM adds, the decision it returns, the approved action path, the verification checks, and the final record.

See AuthoriOM in Action →
The Ordering Service ChangeFictional names and data
Requested changeUpdate route for ordering service
Connected context4 services · 3 owners · 1 exception
DecisionHuman review required
Verified resultApp, identity, and policy checks passed
AI Inside Clear Limits

AI can help understand and operate the environment without setting its own rules.

AuthoriOM can use its own AI or connect to other AI. It can explain links, show impact, suggest actions, and help operators.

  • AI reads facts from the IOM
  • AI reasons across mapped relationships
  • AI follows rules set by the organization
  • AI actions use the same connected change path
  • AI cannot grant itself more authority
Works With Your Stack

Keep the systems that already do the work.

Infrastructure

Cloud, network, compute, storage, databases, and applications.

Records

CMDB, ITSM, IPAM, asset systems, documents, and ownership data.

Evidence

Monitoring, logs, events, vulnerability, security, and audit systems.

Execution

Infrastructure as Code, APIs, controllers, CI/CD, workflows, and scripts.

See how AuthoriOM connects to the current stack →

Deployment and Trust

Run the platform where your risk needs require.

Shared tenant

A managed cloud service with logical separation and a faster start.

Dedicated tenant

A separate environment for stronger isolation and your own needs.

Inside your perimeter

Run it inside your environment when data, access, or policy requires it.

Read-only by default

Build and use the IOM before enabling any path that can change infrastructure.

Customer-controlled authority

The customer decides what connects, what can act, who approves, and how far authority extends.

Review data handling, access, and deployment choices →

Platform + Managed IOM

Every Managed IOM option runs on the AuthoriOM platform.

Customers can operate the platform themselves, share operation with us, or have AuthoriOM operate it.

The IOM, the rules, and the operating knowledge stay under customer control.

What the customer receives

  • A working infrastructure model
  • A clear operating process
  • Current documents and evidence
  • Progressive change governance
  • A service that keeps the model useful
Explore Managed IOM →

Model first. Everything else follows.

Start With One Environment

See the operating result, then evaluate the platform against your environment.

Start with the illustrative scenario. A guided session can then map the same operating questions to one environment without connecting to your infrastructure.