state3 for IT Operations

Give IT operations the context behind the alert.

Your monitoring and observability platforms are good at what they do. They tell you, quickly and accurately, that something is wrong. What they rarely carry is the organisation around the thing that broke — which applications sit on that server, which business services sit on those applications, who owns them, and whether someone has already raised a risk against it.

state3 replaces none of that. It holds the connections, so an alert you already have can be read as an impact on the organisation rather than an event on an asset.

Context behind the alert

What you can ask once the alert has landed.

The alert names a component. These are the questions that turn that component into something the organisation can make a decision about.

What business services depend on this server?

Services are linked to the applications and infrastructure beneath them, so the affected component resolves upward into the services it carries.

Who owns the affected applications?

Ownership is recorded against each application — technology, process and business owners — rather than held in someone's head.

What else sits downstream?

Impact assessment runs across 14+ entity types, and you can follow the link from one impact report into the next rather than stopping at the first hop.

Are there risks already open against this technology?

Risks attach to the infrastructure, application, vendor or business activity they sit on, with an owner and a treatment already recorded.

Is there a change in flight that touches it?

Change activity is visible across the estate, so you can tell an incident apart from the consequence of something approved last week.

Which vendor and contract sit behind it?

Contracts carry status, owner and renewal window, and vendor records carry the primary contacts — so the escalation path is part of the model.

How the context is assembled

Dependencies are recorded, not reconstructed.

Connect Applications, infrastructure and the links between them

One model across environments rather than a diagram per team.

  • Applications and infrastructure held together, on-prem, cloud and hybrid alike
  • Integration and dependency mapping showing how applications connect
  • Infrastructure maps covering the relationships between servers and supporting infrastructure
  • Application-to-business-capability mapping, so technology resolves into what the organisation does

Trace Follow the impact past the first hop

The question is rarely what broke. It is what that reaches.

  • Impact assessment across 14+ state3 Enterprise entity types
  • Follow links from one impact report into the next perspective
  • Search to see how business activities or services are delivered
  • Trace which technology enables which key deliverables

Attribute Ownership, vendor, contract and risk on the entity itself

Context is only useful during an incident if it is already attached.

  • Technology, process and business ownership assigned per entity
  • Risks attached to the application, infrastructure, vendor or business activity they concern
  • Contracts tracked by status, owner and renewal window
  • Vendor records with primary contacts
Where state3 sits

Alongside your operational tooling, not instead of it.

state3 is not an ITOps, ITOM or observability platform. It holds no telemetry, raises no alerts, correlates no events and performs no remediation. It holds the organisational model that those systems act on, which is a different job.

Monitoring and observability

They detect and alert, which is the part state3 does not do. state3 explains what the thing that alerted supports, and who needs to know.

Service management

Where you already run a service desk, state3 supplies the dependency context beside it. Where you don't, state3 handles the requests as well.

Cloud operations

Ingestion covers on-prem, cloud and hybrid sources alike, so the model describes the estate rather than one environment within it.

Where this connects

One graph. Many lenses.

AI access

Ask the model these questions in plain language, within the permissions the user already has.

AI access through MCP

See it on your own estate.

A tailored demo runs on data shaped like yours, so you can judge the dependency picture against an environment you recognise rather than a sample one.