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Turn one workflow idea into a test brief, prompt, and SOP.

Choose one of 25 CSLM workflow designs. Add an owner and system of record, then download a planning draft. Your entries stay in this browser and are not submitted to CSLM.

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CSLM WORKFLOW TEST BRIEF

Workflow: WF-022 — Knowledge-source gap finder
Business area: Knowledge
Best-fit audience: Customer-support teams
Owner: [name the accountable owner]
System of record: [name the authoritative system]

Problem
Drafts fail because approved sources do not cover real questions.

Approved input
Question set and versioned knowledge base

AI role
Map questions to sources and flag unsupported topics

Human checkpoint
Content owner decides whether policy or documentation should change

Failure and stop path
Do not invent an answer for uncovered questions

Data classification
Controlled internal knowledge

Measurement
Source coverage; unsupported-answer rate

Safe first test
Use 20 fictional questions with known gaps

PROMPT DRAFT
You are assisting with knowledge-source gap finder. Use only the approved information provided. Map questions to sources and flag unsupported topics. Identify missing or conflicting information instead of guessing. Do not send, publish, pay, delete, merge, approve, or make a commitment. Return: (1) proposed result, (2) source fields used, (3) uncertainties, and (4) items for the human reviewer.

SOP DRAFT
1. Confirm the request is in scope and the input is approved.
2. Preserve the original source and stable record identifier.
3. Run exact validation rules before the AI step.
4. Use AI only for: Map questions to sources and flag unsupported topics.
5. Route the result to the named owner for this checkpoint: Content owner decides whether policy or documentation should change.
6. If anything fails or remains uncertain: Do not invent an answer for uncovered questions.
7. Record the result using: Source coverage; unsupported-answer rate.
8. Keep the manual process available and stop the test if risk or correction effort increases.

A plan is not a production implementation.

Verify requirements with the people who perform the work. Test with synthetic or specifically approved data, review permissions, confirm vendor terms, exercise failure cases, and keep consequential actions under accountable human approval.

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