AI Productivity for Research, Writing, Analysis, and Reporting

Anyone can get AI to produce a report in ten minutes. The hard part is being able to stand behind it. This course is for the people whose work gets read closely — consultants, managers, researchers, analysts, the administrative professionals who actually assemble the deliverable. You already sense both things at once: AI could save you hours on the next memo, deck, or analysis, and it could just as easily hand you a citation that doesn't exist, a number that doesn't add up, or a confident paragraph that quietly invented its evidence. One of those slips reaching a client or a board is all it takes. So instead of prompt tricks, you'll build a working method: a production pipeline that runs from scoping the question, through researching and validating every source, to analyzing, drafting, and turning it all into a report or presentation. Two disciplines run through every stage. The first is source validation — how AI fabricates references that look perfectly real, and the fast checks that catch them before they ship. The second is accountability — the simple fact that your name is on the work, not the tool's, and what it takes to defend every claim, number, and chart in it. You'll re-compute numbers that look right but aren't, summarize without dropping the caveat that changes the decision, spot a chart that misleads even when AI drew it, and decide what should never be pasted into a tool at all. It ends with a sign-off standard you can apply to anything before it leaves your hands. No coding, no statistics, no chasing every new release — what you learn is the judgment underneath the tools. By the end, AI makes you faster without making you reckless.