Liza Adams

The body does what the mind believes.

A few weeks ago, I ran a virtual applied AI session with GHX on how customer buying behaviors are shifting, AI use cases, and what human + AI orgs look like in response. Yesterday, we got in a room together to build.

In four hours, teams moved from using AI as a tool to building AI teammates to designing workflows where those teammates hand off work to each other.

Here’s the approach:

• Inspire with real use cases so people can see what’s possible in their roles

• Give clear guidance on how to build responsibly

• Get hands on keyboard in teams

• Share what worked, what didn’t, and what surprised you

Teams built AI teammates for personas, lead qualification, brand alignment, and content creation. Then they started mapping entire systems: which teammates they need, how work flows between them, what knowledge each one draws from.

Half the room was early-career professionals in GHX’s ACE (Accelerated Commercial Excellence) program, a GTM rotation across product, marketing, sales, and CS. GHX is investing in their people’s careers, including those just getting started.

The hardest part of this work isn’t AI. It’s us humans. Meet people where they are. Bring them along with grace and compassion.

Transformation happens everywhere: SF, NY, Atlanta, Manila, Barcelona, and yesterday, in my backyard in Louisville, CO, just 3 miles from home.

Thank you to Bryan Bowles for championing this work, and to Susan (Williams) Scorby, Brian McNally, and Kevin Cochran for bringing it together.

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I built a simulator where three AI customer stakeholders debate an AI sales rep in real time. Then it grades the AI rep’s performance and coaches them on what to do next. See the 40-sec demo below.

IT wants security. Finance wants ROI. Travel wants ease of use. They interrupt each other, push back, and argue while the AI rep tries to get them all to yes.

This is a tough scenario by design. A group demo where competing priorities clash. In real life, reps sometimes get 1:1 time with each stakeholder. But training for the hardest room makes the easier ones feel manageable.

The human rep doesn’t participate. They watch, observe, and learn. It’s sales training where your team sees how messaging lands against realistic buyer dynamics without the pressure of a live deal.

Run it twice and you get a completely different conversation. Every response is a live AI call, not a script.

Here’s the starting prompt:

“Please build a simulator where an AI sales rep presents to a buying committee of 3 AI stakeholders based on the attached strategy document. They should react, interrupt, ask tough questions, and debate each other.

Every response should be a live AI call, not scripted, so each run produces a different conversation. I want to watch, not participate.

At the end, show me which stakeholders are sold, which aren’t, and why. Then grade the AI rep’s performance and give coaching: what worked, what they missed, and suggested next steps.”

Your strategy doc does the heavy lifting. The personas, objection handling, and value props you already built become the AI’s playbook. Garbage in, garbage out.

The first version won’t be perfect. Review what it builds and refine from there. Sometimes that means adjusting the prompt. Sometimes it means improving your strategy doc. Either way, you learn something useful.

Try the simulator yourself and read the full breakdown in my latest newsletter. Links in the comments. Share with us what you think.

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Fei-Fei Li. Daniela Amodei. Melanie Perkins. And somehow… me.

Being named to the Most Inspirational Women in AI & Web3 list matters to me. Not because of the title, but because of what it represents: more of us showing up, getting seen, and making space for others.

Congrats to all the women on this list, including the incomparable Sandy Carter (Chief Business Officer of Unstoppable Domains) and Christine / Chris Heckart (Founder of Xapa). Proud to be in this company.

Link to the full list in the comments.

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Too busy during the week to keep up with AI but too curious to ignore it?

I turned my latest newsletter into a 6-min AI video explainer (below) and a 12-min AI podcast. Same content, different format. Watch while you drink your coffee or listen while you walk the dog.

This one covers a new AI use case I’m seeing with GTM teams: turning strategy docs into training simulators where AI personas debate each other live. Then it coaches you on what worked and what didn’t.

Also covers simulating a buying committee meeting to see which stakeholders are bought in and which ones aren’t.

Links in comments.

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