Human-approved automation
Provides permitted operations. Each invocation is checked against current scope, parameters, conditions, permissions, and required approvals.
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.
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.
Connects facts, dependencies, ownership, observed state, and approved intent. Maintains governance, authority, verification, and reconciliation, with source, freshness, and unresolved gaps visible.
Provides permitted operations. Each invocation is checked against current scope, parameters, conditions, permissions, and required approvals.
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.
The Infrastructure Operating Model combines maintained knowledge with explicit operating responsibilities. A graph alone does not enforce authorization.
Accountable people approve requirements and exceptions. Keep observed state, inferred relationships, and approved intent distinct.
Governance applies to connected, controlled paths. Existing tools perform approved work within defined scope and permissions.
Observe out-of-path changes where integrations and freshness permit. Investigate discrepancies, then authorize adoption, correction, or escalation.
Assets, services, settings, capacity, owners, health, and change history.
Connections, dependencies, service paths, shared resources, and impact.
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.
Read approved sources through supported integrations. Record source, freshness, gaps, and disagreements within the connected scope.
Bring records into one view and map how the parts depend on one another.
Record intent, standards, owners, limits, approvals, exceptions, and required checks.
Show drift, missing owners, policy issues, old links, and change made outside the path.
Apply context, policy, permissions, and required approvals on enabled execution paths. Hold unresolved proposals for investigation.
Use Terraform, Ansible, APIs, controllers, workflows, scripts, and other approved paths.
Compare observed configuration and service results with intended conditions. Record evidence and mismatches; unexpected state does not become approved intent automatically.
AuthoriOM can use its own AI or connect to other AI. It can explain links, show impact, suggest actions, and help operators.
Cloud, network, compute, storage, databases, and applications.
CMDB, ITSM, IPAM, asset systems, documents, and ownership data.
Monitoring, logs, events, vulnerability, security, and audit systems.
Infrastructure as Code, APIs, controllers, CI/CD, workflows, and scripts.
A managed cloud service with logical separation and a faster start.
A separate environment for stronger isolation and your own needs.
Run it inside your environment when data, access, or policy requires it.
Build and use the IOM before enabling any path that can change infrastructure.
The customer decides what connects, what can act, who approves, and how far authority extends.
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.
Model first. Everything else follows.
Start with the illustrative scenario. A guided session can then map the same operating questions to one environment without connecting to your infrastructure.