AI leadership — defined by operating standards.

Mentorship for emerging AI practitioners. Operating standards for evaluating risk, setting governance, and leading change. A playbook you'll own. Frameworks you can use. Peers on the same path. Monthly mentorship for people building toward AI leadership.

2-3 hours monthly
Build your own toolkit
Peer community
Quarterly case studies
See Pricing & Join Us
Quarterly Case Studies

Real practitioners. Real problems. Real outcomes.

Outside operators share their experiences — removing bias from LLMs, spotting traps in vendor contracts, controlling API costs, navigating licensing, managing risk and ethics.

Building toward AI leadership

Practitioners
Want AI capability before you need it
Managers
Building capability for the next opportunity
Builders
Investing in skills that will matter
Consultants
Learning how to advise on AI enablement

Artifacts You Build

Each session explores you how to think about a problem — then you build your own tool. Your artifact, your IP, your capability.

Mentorship Access

Learn from someone with over 20 years in emerging tech. Watch how problems get framed. Ask the questions you can't answer alone.

Peer Network

Others on the same path. Compare notes. Share what's working. Build relationships that outlast the program.

What the program covers

Q1: January – March
Foundations
January
AI Maturity: Where Do You Actually Stand?
Learn the framework. Build your own maturity assessment. Benchmark against peers.
February
AI Use Case Prioritization
Scoring frameworks. Kill criteria. How to say no to shiny objects. Build your own prioritization tool.
March
Defining Success Before You Build
Setting success criteria upfront. Leading indicators. Build your own project definition template.
Q2: April – June
Risk & Governance
April
AI Risk Landscape
Legal exposure. Compliance requirements. Build your own risk assessment checklist.
May
AI Policy Workshop
Draft your own acceptable use policy. Review peer approaches. Leave with something usable.
June
Responsible AI: Bias, Transparency & Oversight
Actual decisions about bias and transparency. Build your own oversight framework.
Q3: July – September
Decisions & Vendors
July
Data Readiness: What AI Actually Requires
What data actually needs to look like. Build your own data readiness checklist.
August
Build vs Buy vs Partner
When to use off-the-shelf. When to build. Build your own decision framework.
September
AI Vendor Evaluation
Who's real, who's vaporware. Build your own vendor scorecard.
Q4: October – December
People & Execution
October
Workforce Conversations
Having honest conversations about AI's impact. Build your own communication templates.
November
Driving AI Adoption
Getting people to use AI tools. Build your own adoption playbook.
December
Your AI Roadmap
Facilitated planning session. Leave with your own concrete plan for the year ahead.

Topics reflect our current plan. AI moves fast—we'll adjust as needed to keep content relevant and practical.

Your toolkit, your playbook, your future

Each session explores the concept & a tool, template, framework, app or other artifact. You build your own version. Your artifact. Your IP. Something you can actually use.

Assessment Tools

  • AI maturity assessment
  • Data readiness checklist

Decision Frameworks

  • Use case prioritization matrix
  • Build/buy/partner framework

Operating Tools

  • Vendor evaluation scorecard
  • AI policy draft

This is for you if

You want to be the one they call when AI decisions get serious
AI is coming to your role and you want to be ready
You want to ensure AI gets deployed responsibly in your organization
You're building toward a role that doesn't exist yet
You want to know what "good" looks like before the project starts

What's included

Monthly 2-3 -hour session (in-person, ~RTP, NC)
Topic content + time to build your own tool
Peer community on the same path
Mentorship access during sessions
Light meal included

Join the program

January Session — Satisfaction Guaranteed
$325 to attend. Not a fit? Tell me before you leave the room and get a full refund. No-show = no refund. Offer expires when the lights go out and the door is closed. January only.
Per Session
$325/session
No commitment — come when it fits
Pay per session
Build your own toolkit
Peer community access
Light meal included
Register for a Session
Download "Ask Your Employer" Letter (PDF)