AI agents

How AI agents use company context

Direct answer

AI agents use company context by retrieving current policies, decisions, ownership, exceptions, and source provenance at the moment they need to answer or act.

What company context means

Company context includes internal policies, prior decisions, operating exceptions, ownership, customer-specific terms, and the reasoning behind current processes.

Why static prompts are limited

A static prompt captures context at one moment in time. It becomes stale as policies and decisions change.

Long prompts are also difficult to maintain, audit, and keep permission-aware.

What MCP enables

MCP allows an agent to call external context tools instead of embedding all company knowledge inside the prompt.

The agent can retrieve only the information needed for the current task.

Source-backed retrieval

Reliable context should include the answer, supporting source, date, decision owner, and any relevant scope or exception.

This allows both the agent and the human reviewer to verify the result.

Security considerations

Agent retrieval should respect workspace identity, connected-source permissions, tenant boundaries, and administrator controls.

An agent should not receive more company information than the user or system identity is authorized to access.

Where Nura fits

Nura provides an MCP server that exposes source-backed company memory to compatible agents.

Agents can retrieve current decisions and context instead of relying only on public model knowledge or static prompts.

FAQs

Questions about ai agents

01What is an AI-agent context layer?

It is a retrieval layer that gives agents relevant company-specific information when they need it.

02Does MCP automatically make an agent accurate?

No. MCP provides access to tools, while the quality of the retrieved context and the agent workflow still matter.

03Can an agent access restricted company data?

Nura retrieval is designed to respect connected identity permissions and workspace isolation.

Early access

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