When this workflow helps
If you are searching for how to use AI to write weekly KPI commentary, first decide who owns the result and where it will be used. A good draft saves preparation time only when the underlying facts are available and a person can inspect the output. This guide is for that specific deliverable; the AI Playbooks by Business Function hub collects adjacent tasks.
Gather the source material
Current and prior KPI exports, metric definitions, target values, and known one-off events. Use the current approved version. Remove details that the team is not permitted to place in an AI tool, or use a workspace and access controls approved for that data. Keep a link to the original material so reviewers can trace the result.
Build the first draft
Calculate changes outside the model, then ask for a narrative that separates observations from hypotheses and identifies decisions. Start on one representative example, not the entire backlog. If a required fact is missing, ask for a marked gap rather than a plausible completion. Save the output as a draft with the source date and an assigned reviewer.
Starting prompt
Summarize these verified KPI changes. State the denominator and time period, avoid causal claims without evidence, and list two questions a manager should investigate.
Replace the example input with your own approved documents and specify the output format your team actually uses. Ask for a short list of uncertainties alongside the draft. Keep the source and output together during review so a polished sentence does not hide a missing fact.
Review before use
The analyst checks calculations and context before leadership sees the commentary. Check names, dates, figures, citations, and commitments against the originals. If a consequential decision or external communication is involved, the designated human owner makes the final call and follows the normal approval path.
Measure whether it worked
Track Time to publish the brief and factual corrections after distribution. Compare a small set of completed examples with the previous process. Record corrections, not only time saved; a faster draft that creates rework is not an improvement. Revise the prompt when the same error appears twice.
Next steps
Return to AI Playbooks by Business Function for related tasks, or use the AI business strategy pillar to decide where this workflow belongs in the wider business.