Keep help articles accurate for customers on different policy versions at once

A draft policy applicability matrix, cohort-labelled article passages and questions on unresolved scope.

Choose one of three approaches. The steps for that option appear below.

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ChatGPT: builds the matrix and drafts the passages

You supply the articles, policy versions, rules and examples. ChatGPT builds the matrix and drafts passages. You check every row.

  1. You

    Collect articles, policies, examples

  2. ChatGPT

    Build matrix and passages

  3. You

    Check and decide

  1. Have ready: articles, policies, rules and examples

    Use: You

    Collect the article variants, the approved simultaneously applicable policy versions, the cohort applicability rules and the approved request examples, keeping source IDs.

    Check

    Check only the approved articles, policies, rules and examples are included, with no passwords, authentication codes, session tokens or payment credentials.

  2. Build the matrix, draft the passages

    Use: ChatGPT

    In one ChatGPT chat, add the cohort bundle with source IDs; ask for the cohort applicability matrix, then the cohort-labelled passages and unresolved-scope questions.

    Details

    What to paste into the tool

    Task: Draft cohort applicability matrix with conditions, dates, clauses and ambiguous cases. Use only the supplied articles, policy versions, cohort rules and examples. Build a matrix with one row per cohort and example: the rule condition, policy version, effective and transaction dates, the clause that applies, and the cohort. Mark any example the rules do not settle as ambiguous. Do not pick a version by date alone when other conditions apply. Task: Draft cohort-labelled article passages; Cohort applicability matrix with article passage IDs added; Unresolved-scope questions. Write each article passage with a cohort label and its condition, keeping every still-valid legacy passage as it stands. Add the passage ID to each matrix row. Do not describe either policy as obsolete. List scope questions the rules leave open in a separate list. Tie each open question to a worksheet row.

  3. Check the matrix and passages, then decide

    Use: You

    Test every matrix row against the approved rules and boundary examples, correct in the same chat, and close the work as preparation only.

    Check

    Do not let a date alone choose the cohort where other conditions apply. Check each example maps to one supported cohort or an ambiguous state, claims carry a cohort condition, and no valid legacy guidance is overwritten. Settle publication and authority separately; not approval to publish.

Before you paste into any AI tool, remove any confidential information. Put it back at the end.

Tools in this workflow

Deciding between ChatGPT and Claude for this? See the comparison.

Final check

Never paste credentials or full payment details.

Each example maps to exactly one supported cohort or an explicit ambiguous state, and each claim has a cohort condition.

Every statement in the draft traces to a checked row with a source ID.

Gaps stay visible as gaps; none is filled by inference.

No credentials of any kind are copied.

The named reviewer confirms the evidence and the draft; completion is preparation only.

Check the result against your original inputs. Approve it before sharing or acting.

What still needs checking
  • The OpenAI source pages do not say which ChatGPT plan, data-control setting or retention terms the team holds; confirm them before uploading confidential case material.
  • The Gemini Apps source pages do not say which privacy setting or account type the team holds; confirm Keep Activity and account type before uploading confidential case material.
  • Plan limits and credits change; re-read the cited vendor pages on the day of use.
  • The cohort rules and boundary examples are supplied with each case; no option infers eligibility or legal effect from them.

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