AI Workflow Guide for Document Classification.

01 / Set the boundary

Define one document stream before choosing labels.

Choose a specific, observable stream rather than trying to classify every document at once. Trace how documents arrive, who needs to review them, where a classification is recorded, and what later work may depend on it. Describe the current process first so the proposed workflow has a clear start, end, owner, and stop point.

• Which recurring stream is in scope, and what event starts classification?
• Who owns the source documents, the category definitions, and the review queue?
• Where does classification end, and what later decisions or actions might rely on it?
• Which documents, data, and proposed uses are permitted under the organization’s access, confidentiality, and retention rules?

02 / Define the rubric

Agree on categories and criteria with the people who use them.

Write down what each category means, what evidence qualifies, and how to handle borderline cases. Use a small set of representative examples to explain the distinctions. Decide whether a document may receive more than one label, and provide a clear “uncertain,” “other,” or “out of scope” path instead of forcing a best guess. Name who approves changes to the criteria and keep the active version available to reviewers.

Criteria should describe the organization’s intended use. A proposed label does not create a policy, establish a fact, or resolve a disagreement about what a category means.

03 / Preserve context

Preserve the source and make missing context visible.

Keep the original document available to the authorized reviewer and define which copy is the reference if there are duplicates or revisions. Before asking for a proposal, check whether the document is complete and readable enough for the task. Keep useful context such as document date or source where permitted, and avoid adding information that is not needed for classification.

If pages are missing, text cannot be read, the version is unclear, or the source conflicts with another record, record that limitation for a person to resolve. Do not silently fill gaps or treat extracted text as a replacement for the source.

04 / Ask for a proposal

Treat every AI label as a proposal, not a settled classification.

If the organization elects to explore AI assistance with an approved tool, ask it to suggest a category using the agreed criteria. Request a concise explanation tied to relevant parts of the source, and ask it to flag uncertainty, conflicting signals, unreadable content, multiple purposes, and cases outside the defined scope. A score, explanation, or confident-sounding answer is not proof that the label is correct.

Keep the source document and proposed label together for review, preserve a way to tell proposals apart from accepted classifications, and follow the organization’s rules for permitted data, access, and retention. The specific tools and steps depend on choices made by the organization; this guide does not imply an available integration.

05 / Require human review

A responsible person checks the source before the label can matter.

A named, responsible reviewer must compare each proposed label with the source document and the agreed criteria. Until that check is complete and the disposition is recorded through the organization’s process, the label remains a proposal. It must not inform a decision, handoff, record change, or other action first.

• Open the original or approved source copy and confirm that it is the right document and is readable enough to assess.
• Compare the proposed label and any supporting explanation with the agreed category definitions and the relevant source passages.
• Correct the proposal, reject it, or escalate the document when the criteria do not settle the case.
• Record the reviewer and disposition using the organization’s established process before the classification informs a decision, handoff, record change, or other action.

Ambiguous or conflicting

The document could fit more than one category, or its content conflicts with the agreed criteria or other source information.

Unreadable or incomplete

Pages are missing, text is obscured, scans are difficult to read, or necessary context is absent.

Multiple-purpose

The document serves several purposes and a single label would hide a distinction the process needs to preserve.

Out of scope or sensitive

The document does not fit the defined stream, calls for a different owner, or needs a qualified person to assess its handling.

06 / Improve from evidence

Refine the workflow from observed review results.

Review a sample of completed cases with the process owner. Track where reviewers accepted, corrected, rejected, or escalated proposals; which criteria caused disagreement; how often documents were unreadable or outside scope; and how much effort review required. These observations help identify where the rubric, source preparation, or escalation path needs attention. They do not guarantee future performance.

Update category definitions only through an agreed owner, preserve a change history, and check revisions against a representative set of reviewed examples before using them in the workflow. Keep review in place while evaluating changes. Pause or reconsider the approach if uncertainty, risk, or the review burden is not acceptable to the people responsible for the process.

This guide is planning guidance, not a classification product, accuracy guarantee, compliance advice, or substitute for qualified review. To discuss a workflow with Clearpath Intelligence, visit the inquiry page.