The two jobs AI does well, and the one it does badly
You wrote "the VP of operations probably cares about onboarding time" because that's what VPs of operations usually care about. Probably and usually lose deals.
Prep, personalize, and deliver product demos that win the room — with AI rehearsing every objection first.

You'll diagnose the failure pattern behind feature-dump demos and run the demo as a qualifying, relationship-building, objection-handling moment instead of a product tour. Score your last three demos against a "show, don't tell" rubric and pinpoint exactly where attention and trust leaked away.
Most sellers run their twentieth demo the same way they ran their first. The slides got prettier and the patter got smoother, but the process underneath is still improvised — what you remember under pressure, plus whatever the last call taught you, minus whatever you've since forgotten.
You wrote "the VP of operations probably cares about onboarding time" because that's what VPs of operations usually care about. Probably and usually lose deals.
Your storyline survived the storyboard. Then, around the moment you show the screen that proves your claim, a buyer leans back: "This looks like the tool we already pay for," or "What happens to our data when it leaves our network?".
Look at your pipeline: eleven open deals, and you're one person. Three are enterprise opportunities where a live demo earns its keep.
The walkthrough went well. The economic buyer nodded at the right moments, the technical evaluator stopped hunting for holes around minute twenty, and someone said "this is interesting" without sarcasm.
Before you design a single screen, fill this out from your notes, your CRM, and your discovery calls. Any row you can't answer is your most valuable pre-demo question — ask it before you present, not during. ACCOUNT: __________ DEMO DATE: __________ 1. Trigger event — why are they looking now, this quarter?
Run this before you move to storyline work later in the guide. If you cannot check a box, you have a research gap, which a later chapter on AI-assisted research is.
Pick one real upcoming demo and run all four passes on it now, not later. Gather at least three real sources and paste them in — no recall-only research. Run the compression prompt and read the Gaps section first; run the inference prompt and flag every priority marked "no evidence." Draft talking points for your top two priorities.
Before any AI-generated fact enters your stakeholder-to-outcome grid, run it through this gate.

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