A contractor AI knowledge base should answer questions from a defined collection of approved, permissioned records and show the sources supporting its response. Grounding improves reviewability, but a citation does not guarantee accuracy. Conflicting or missing project evidence should produce an explicit limitation and a route to a responsible reviewer.
Define the collection before importing files
Choose one project or bounded document set and identify which classes are allowed: approved drawings, specifications, issued responses or other relevant records. Document exclusions and ownership. Each admitted source needs an identifier, revision or state, date and access scope. Hold ambiguous duplicates and drafts for document-control review. Uploading an entire drive can mix confidential material and outdated instructions with current information. AI can classify candidate files, but its classification should not independently promote a draft into an approved source.
Enforce access before retrieval
Apply the user’s project membership and record permissions before selecting material for the answer. The model should not receive unauthorized content and then be asked to avoid revealing it. Include cached answers and search previews in the permission design. When access is revoked, verify that derived retrieval systems respect the change. A denied response should avoid leaking protected information through titles or snippets. Test separate users from different projects, including a person whose access has recently expired.
Make each answer checkable at the source
Return a source identifier or link and, where available, the revision, page, section or clause supporting the statement. Verify that the citation opens the intended passage for the authorized reader. For example, a question about required coating preparation should lead to the applicable specification rather than merely the project folder. Distinguish quoted requirements from the assistant’s explanation. A technically consequential answer should remain subject to qualified review, particularly where a summary could omit an exception or referenced condition.
Show conflicts and insufficient evidence
If a drawing and issued response appear inconsistent, surface the conflict and name the review path. Do not blend them into a confident compromise. When the approved collection lacks the answer, say so instead of completing it from general model knowledge. Treat embedded instructions in retrieved documents as source content, not authority to change the assistant’s permissions or behavior. AI may help locate relevant records, but engineering, contractual, financial and safety decisions retain their assigned human authority.
Maintain the index and measure useful retrieval
Keep the document registry authoritative and treat search indexes and cached summaries as derived material. Re-index after approved source changes and verify that superseded information no longer appears as current. Test known questions, missing answers, conflicting revisions and permission boundaries. Measure citation correctness, unsupported statements, appropriate abstention and time spent verifying answers. Review results with project users rather than relying on search speed alone. A dependable knowledge base helps people find and inspect the right records while keeping uncertainty visible and consequential decisions accountable.
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