By function
Finance teams
Faster close, same rigour
Finance is where AI's confident errors cost the most, because a wrong number travels further than a wrong sentence. The training is built around that asymmetry: use the tools to draft, reconcile and interrogate faster - and verify everything before it circulates.
1.Month-end commentary drafted in hours, not days
The situation
The numbers are done by day three; the narrative around them takes until day six. Every month the same variance explanations are written from scratch under deadline.
In practice
Analysts draft the commentary with an assistant working from the actuals, then apply a verification routine: every figure traced back to source before the pack circulates, because the number will be quoted long after the caveat is forgotten.
2.Two reports, one truth
The situation
Sales says one number, finance says another, and a recurring hour of every month is spent explaining the difference to someone senior.
In practice
Tracing the disagreement to its sources, cleaning and structuring the dataset both reports depend on, and establishing a source of truth with a named owner - so the argument does not reform in six months.
3.Interrogating the investment case
The situation
A technology or automation proposal lands with a payback calculation built on the vendor's assumptions. Finance is asked to bless it without the time to rebuild it.
In practice
Using AI to pull apart a long proposal quickly - surfacing the assumptions, testing the unit economics, and asking the questions the demo was designed to avoid - while the judgement on the answer stays with the analyst.
4.Clear lines around sensitive numbers
The situation
Unreleased results, payroll data and forecasts are exactly the material people are most tempted to paste into a tool, and exactly the material that must not leak.
In practice
Classifying what may and may not enter an AI tool against the organisation's own policy, identifying the decisions that stay with a person, and recording AI involvement so the work can be reviewed later.
Start with the measurement, not the course list
The 8 courses cited above are a starting point. The assessment scores your teams across five dimensions and recommends training against the gaps it actually finds.