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You own the weekly exec KPI update for a subscription product. The dataset is subscriptions_kpi_daily with 18,250 rows covering 2026-01-01 to 2026-06-30, segmented by plan_tier and acquisition_channel. The VP asks one question. Did retention improve after the new onboarding launched on 2026-05-15, and if so, for which tiers.
AI can draft charts and words fast, but it cannot own the business risk of a misleading figure. You do. If a chart misstates retention because the axis is truncated or the time window is cherry-picked, the downstream failure sits with the analyst who published it, not with the tool that generated it.
Look at a draft executive view and notice what you would have to sign your name to.
In this course, treat LLM as a large language model that generates text, code, and structured suggestions by pattern matching, not by checking your database. That distinction matters because an LLM will happily output a plausible SQL query that returns the wrong cohort definition, and you will still be the one accountable for the metric.
Different AI tools produce different artifacts. Code assistants generate python, R, SQL, or chart specs like vega-lite. BI copilots generate calculated fields like DAX, filters, and dashboard layouts. Narrative generators draft an executive paragraph and headline. Chart recommenders propose chart types and encodings, like mapping date to x-axis and retention_rate to y-axis.
Explore how these tool types map to the deliverables you ship.
Most time is not spent drawing bars. It is spent translating messy stakeholder intent into a precise metric, surviving revisions, and leaving enough breadcrumbs that someone can reproduce the figure next month.
AI accelerates the first draft. You can ask it to propose candidate charts for retention by plan_tier around 2026-05-15, and it will generate a starting point quickly. You slow down again when you do the non-negotiable checks. You verify the cohort definition, confirm the denominator, check the time window, and inspect axis scaling. If AI suggested a dual-axis chart, you decide whether that embeds an argument you cannot defend.
See where AI fits in a realistic KPI update workflow.