Four ways I help companies move from AI experimentation to enterprise capability.
The work spans one-day workshops to multi-quarter capability builds. Engagements start with a written brief about where your organization is and where the gap actually lives.
One-Day AI Bootcamps
What it is
A one-day session that uses AI itself to analyze your company's policies, tools, and strategy ahead of time, then generates a set of tailored use cases your team evaluates together.
Why it works
Most AI workshops are generic. This one isn't. The pre-session analysis means we walk in with use cases specific to your business, your constraints, and your existing tools, not a deck of industry examples that may or may not apply to you.
Who it's for
Executive teams that want to move past AI awareness and into AI evaluation. The session works whether you're early in AI adoption or trying to make better sense of pilots already running.
The output
A prioritized set of use cases, a shared vocabulary across the leadership team, and a clear sense of what to act on next.
Custom AI Accelerators
What it is
The one-day bootcamp extended across a quarter. Weekly cohort sessions that build internal AI capability, an artifact library your team can reuse, and the champion layer that most AI initiatives are missing.
Why it works
A one-day session creates momentum. A quarter-long engagement turns that momentum into capability. That's been the pattern across clients I've run both with.
Who it's for
Organizations that have decided AI is strategic and need to build the internal muscle to deploy it. Best fit for companies with at least 8–15 people who will form the initial cohort.
The output
Trained internal champions, a documented library of AI use cases your team has built and tested, and the organizational pattern for scaling AI adoption beyond the initial cohort.
Digital DNA Diagnostic
What it is
A maturity assessment that measures your organization's AI and digital readiness across the dimensions that actually predict success. The framework comes from my MIT Press books and the original MIT Sloan Management Review/Deloitte research, updated for what matters in AI adoption today.
Why it works
Most AI assessments measure technology readiness. This one measures the human and organizational capabilities that determine whether technology investments deliver value. That's been the differentiator since 2018.
Who it's for
Leadership teams that want a clear-eyed view of where they actually stand on AI capability, where the gaps are, and what to prioritize. Useful as a standalone engagement or as the starting point for an accelerator.
The output
A diagnostic report with benchmarked findings, identified capability gaps, and a prioritized roadmap for closing them.
Custom Engagements
What it is
Board advisory, executive workshops, keynote speaking, or something built for your specific situation.
Why it works
Not every situation fits a standard offering. If you have a board that needs to develop an AI point of view, an executive team that needs a working session on a specific decision, or a leadership offsite that needs an AI strategy module, I'd rather build something useful than push you toward something prepackaged.
Who it's for
Boards, executive teams, and organizations with specific situations that don't map neatly to a one-day or quarter-long engagement.
The output
Whatever the engagement requires. Custom work usually produces an artifact you can use after the session is over: a board memo, a workshop synthesis, a strategy doc. Plus the outcome of the session itself.
Not sure which fit is right?
Send a short note about your situation. I'll tell you honestly whether what you need is one of the four shapes above, something custom, or something I'm not the right person for.