Enterprise context
management.
Shared business meaning, permissions and learning, kept current across your AI agents.
One business.
A shared understanding.
Enterprise context management is the work of building, governing and maintaining the knowledge agents need to operate in a business. It connects what information means with who may use it and what has already been learned.
ContextOne does that work in software. It reads your sources in place, resolves meaning across systems and prepares source-backed knowledge. Your team controls approval before use, without writing the knowledge from scratch.
What is a context layer?
The software that makes relevant context available.
A context layer gives AI agents shared business meaning, permissions and reusable knowledge between the agents and the systems they use. ContextOne builds and maintains that foundation from existing sources. It ranks retrieved knowledge by relevance to the request and applies access permissions, giving agents focused context and reducing unrelated information that adds noise and model cost.
What is a context graph?
The connections that give information meaning.
A context graph connects business entities, their relationships and the evidence behind them. For an agent, a record becomes more useful when it is connected to its business definition, relevant rules and previous resolutions. ContextOne builds these connections across systems and keeps them tied to their sources.
What is a context ontology?
The definitions that make those connections consistent.
A context ontology defines the shared concepts and relationships used to describe a business. It establishes what terms such as customer, account, status or exception mean and how they relate. ContextOne reads schemas, queries, procedures and documents to propose this meaning, rather than requiring a modeling project from scratch.
How does an agent ontology fit?
The concepts and capabilities available to an agent.
An agent ontology describes the concepts and capabilities an agent can use, including the tasks, tools and permissions relevant to its role. With ContextOne, agents draw on shared business definitions and approved procedures within each user’s access. They retain responsibility for their own decisions and execution.
Put it to work in a workflow.
Consider an agent handling an operational exception. It needs to know which records refer to the same customer, what the status means, which procedure applies and what its user may access. Finding a matching document is only part of that work.
ContextOne supplies the connected context. The agent uses it to carry out the task. A resolved exception can then enrich the shared knowledge for future tasks, while software also keeps checking for changes in the underlying systems.