Where AI fits
A revenue leader under pressure does not have four quarters to wait for a positioning project to pay off. AI is the reason they no longer have to.
The outside-in research that used to take six weeks of interviews now starts with AI working the material your buyers already live in: the market context, the alternatives they compare you against, and the language your competitors have trained the market to expect. We reach a sharper first draft of the position in days, which means the room time goes to arguing about the hard part instead of assembling the easy part.
Then we pressure-test the narrative before it ever meets a real buyer. Synthetic buyer personas, built from your actual target segments, let us run the story past a CFO, a head of security, and a skeptical champion and watch where it falls apart. Cheaper than finding out in a live deal, and far cheaper than finding out in a lost one.
When it is time to quantify, AI helps your seller build a personalized business case with the buyer in the room rather than promising to send something over later.
One guardrail, and I hold it firmly. People for insight, people for alignment, people for execution. AI is a partner in this work and not a proxy for it. It cannot sit with six leaders who disagree and get them down to eleven words they will all defend. What it can do is get you there faster and prove the story holds before you bet a launch on it. And once your narrative is set, it becomes the instruction set your AI infrastructure inherits, so every agent you deploy starts saying the same true thing.