AI for research analysis strategy writing
Your VP of Operations spends every Monday compiling a weekly performance summary — pulling data from three systems, writing narrative, formatting for the leadership team. That's 3-4 hours of a senior leader doing production work instead of judgment work. AI compresses that to 45 minutes — not by replacing the VP's insight, but by handling the data assembly and first draft so their time goes into interpretation and decisions. The starting point is always the same: find the most time-consuming recurring deliverable on your team's plate and apply AI to that one thing first.
Go deeper
You have a board meeting in ten days. You need a competitive landscape update, a financial analysis of your expansion options, a draft strategic plan, a presentation deck, and talking points. Previously, this was three people working for two weeks. With AI applied to each category — research for the competitive landscape, analysis for the financials, strategy for the plan, writing for the talking points, visual for the deck — one person can produce credible first drafts of all five in two days. The remaining eight days are for validation, refinement, and rehearsal instead of raw production.
The trap most companies fall into is using AI for only one category — usually writing — and ignoring the others. The person who uses AI to draft emails but manually builds every spreadsheet analysis is capturing maybe 15% of the available value. The compounding happens when you chain the categories: research feeds analysis, analysis feeds strategy, strategy feeds writing, writing feeds visuals. Each output becomes input for the next. The person who chains all five categories does not just work faster — they produce more integrated, internally consistent output.
Questions to ask
- Of the five categories — research, analysis, strategy, writing, visual — which one consumes the most hours in our leadership team's week?
- For our next major deliverable, could we use AI across multiple categories in sequence rather than just one?
- What is our biggest recurring output (board deck, monthly report, proposal) and what would it look like to use AI across every stage of producing it?