Five questions. One day. A working AI agent you build with your own hands, and a room full of women who leave more confident than they arrived.
That gap is not a capability problem. Senior women have exactly what AI multiplies: decades of domain expertise, pattern recognition, strategic judgment, and political intelligence. AI is the first force multiplier that amplifies whatever expertise it touches — combined, they make a superpower.
Which means the women with the most experience have the most to gain from closing this gap, and the most to lose by waiting. Experienced women executives deserve a way to lead in an AI powered world from the seat they earned, as the expert in the room.
The AI Executive Rubric delivers that through five questions that produce a concrete Scorecard, a read on where each leader stands today, and a set of working tools she can use the moment she leaves the room.
The Rubric works today, next year, and when the next wave of AI arrives. Each question produces a concrete output on the Scorecard — walk in curious, walk out having built a working AI agent with your own hands.
Each leader builds her Personal AI Opportunity Matrix, mapping her highest-stakes work against what AI does well today — a ranked map of where AI compounds her judgment, and where it simply doesn't belong.
The market ships new tools every week, so memorizing products is a losing game. This session teaches a durable selection framework: matching the job to the class of AI, weighing data sensitivity and cost, and knowing when good enough beats best in class.
Executives use AI differently than analysts: pressure-testing a strategy before the board sees it, compressing a 20-page pre-read into five questions that matter, and turning bullets into a narrative in her own voice. Judgment over generation.
Adoption is a leadership behavior problem before it's a technology problem. She writes an AI Culture Commitment naming the specific behaviors she'll model, because teams adopt what their leader visibly does.
Safety is a set of leadership decisions about data, vendors, and what a tool is allowed to touch. She leaves with a Personal AI Use Policy she can defend to a board.
Before the work begins, each leader places herself on a five-rung ladder — visibly, as the room's opening moment. It returns at the close of the day, when she places herself again and sees how far one day moved her.
The ladder gives the room a shared language and shows AI confidence is a progression anyone can move along — so each leader calibrates her plan to where she actually stands.
The confidence ladder opens the day, and the hackathon build starts before anything else on the agenda.
Three areas sharpen an existing question, each with a home in the day's schedule.
Every initiative answers one question: what business metric does this move? If a use case can't point to higher lifetime value, better lead quality, lower error rates, or hours given back, it goes back on the shelf. A simple build test decides whether a workflow is worth the effort.
| Test | Why it matters |
|---|---|
| Does it happen every week? | Frequency is where AI pays off |
| Does it take thirty minutes or more? | Enough time that saving it matters |
| Does it use repeatable context? | The same facts can feed it every time |
| Is a seventy percent first draft still useful? | If yes, it's a strong pilot candidate |
Security conversations usually drown executives in compliance language they can't act on. This module stays at the altitude a leader actually decides from: you're about to put an AI chatbot on your website — is that safe, what can it see, what could it say to a customer?
| Level | What it is | When it fits |
|---|---|---|
| Personal account tools | Consumer apps on a personal login | Low stakes, nothing sensitive |
| Business account tools | Enterprise accounts with data controls | Most everyday business work |
| Private model first | Sensitive data handled privately before anything external | Regulated or confidential workflows |
| Fully self hosted | Nothing leaves your environment | Highest sensitivity, strict control |
Her domain expertise already precedes her — this module makes her the person others come to for AI in that domain. It covers making expertise legible to AI systems through consistent bios, a clear point of view, and third-party validation, since AI models can otherwise portray women as more junior than they are.
Every leader leaves with a completed Scorecard and a set of working tools she owns.
For every paid seat or sponsored cohort, the program funds a seat for a woman in an underserved group.
A separate community session runs at a Buffalo community center the morning after the flagship — meeting women where they are, and equipping them with the same ladder, the same Opportunity Matrix, and a hands-on build with the same UB student facilitators. The program travels to the community rather than asking the community to travel to it.
A single workshop creates awareness and a good feeling, and then the calendar takes over. Every ticket includes a 30-day virtual check-in, and the accountability pairs made at the close hold each other to their 90-day plans.
We built the Rubric to travel. Three directions open real expansion.
The AI Executive Rubric is built and delivered in partnership with the organizations below.
The AI Executive Rubric is made possible with support from these sponsors.
Refer two colleagues to join you at The AI Executive Rubric, and all three of you pay $350 each.