An agent-ready corpus preserves organizational authority and permissions at retrieval time, then returns cited context in a format the consuming workflow can test.
Define the corpus contract
Name the agent tasks the corpus must support before choosing connectors or chunking rules, because different decisions require different source authority and context depth. Define the unit of work, the people and systems involved, the evidence already available, and the exact decision this record must support. A narrow boundary keeps the analysis tied to an observable process instead of turning it into an open-ended inventory.
The Model Context Protocol resources specification describes application-controlled resources with URIs and metadata that clients can discover and read. Preserve the source URL, version, retrieval date, and relevant rule beside the local implementation decision. If the source does not address the buyer's environment directly, label the local conclusion as an adaptation and retain the assumption that connects them.
Normalize records without erasing sources
Normalize each document into a stable record while retaining its original path, permissions, version, timestamps, owner, content type, and transformation receipt. Each record needs a stable identifier, owner, current state, source reference, last verified time, exception path, and next permitted action. Conflicting or missing evidence remains visible so a later reviewer can distinguish a confirmed result from inference, recollection, or an unavailable signal.
Context-loading rules should name which sources are required, how many records may be loaded, how citations appear, and what happens when evidence conflicts or is absent. Write the decision rule before automating it, including who may approve, what evidence is required, which condition causes a hold, and how an exception expires. This makes the control testable and prevents a tool from quietly expanding its own authority.
Verify the agent loading path
Run the same retrieval questions through permitted and denied roles, current and stale sources, renamed documents, and deliberately missing context. Record the fixture, versions, environment, expected result, actual result, reviewer, and corrective action for every failed case. Rerun the accepted cases after a source, permission, workflow, or dependency changes so an old passing result is not presented as current evidence.
Organizational Memory and Agent-Ready Knowledge System is operated by Reality Contact, LLC. The buyer decides source authority, permissions, retention, and disputed meaning; Reality Contact, LLC implements the accepted technical rules without declaring organizational truth. The resulting guide and implementation evidence cover only the named sources, workflow, versions, and acceptance cases, so the buyer retains authority over policy, credentials, production use, and later changes.
Where the service stops
Reality Contact, LLC implements bounded knowledge infrastructure but does not decide legal retention, disclose restricted records, determine organizational truth, impersonate staff, grant production access, or administer the corpus indefinitely. The buyer appoints source owners, approves precedence and retention rules, controls permissions and credentials, resolves disputed authority, and adopts the context-loading workflow. This is technical implementation and document preparation; it does not replace professional legal, privacy, security, records-management, or organizational review. The system does not promise exhaustive recall, correct answers beyond accepted sources, access to undisclosed records, or freshness after owners stop maintaining the corpus.
Sources: Model Context Protocol resources specification; Microsoft Graph connectors overview.