E3 is the core work product I bring to teams: a recipe for the journey to AI native, earned the hard way at Microsoft FastTrack through experience and iteration, and now run deliberately as a repeatable system.
Create belief and excitement by showing real agents solving real problems. Demand comes from working examples in front of the people who own the work, discussion about how their manual effort and repeatable processes have been solved with AI, not from slideware or generic training.
Help people do by direct coaching and solutioning their actual problems, with guidance on infrastructure, governance, telemetry, starter patterns, and learning cadences that let people build safely. Enablement turns enthusiasm into governed, measurable outcomes.
Demo days, production use, and reusable patterns that teams run on their own, without a consultant or central group driving every step. Leaders emerge and coach others.
Reduction in manual work in under a year.
In real workflows, not pilots.
Real operational demand.
Capacity returned to the business.
More engagements, more impact.
Citizen builders, not a central team.
The three stages translate to any organization. The people who own the work are your citizen developers; the goal is not a technology rollout, it is excitement, then capability, then ownership, one team at a time.
Belief comes from watching a peer's real work change. Put people in front of their colleagues presenting AI wins they conceived and completed in their own workflows. Working examples in front of peers, never mandates or generic training.
Show, don't tell
Start with simple problems that are real for the users, and coach people through solving their own work. Starter patterns, a team learning cadence, and demo days. Focus on people who self-select, celebrate every win and progress point: oversized celebrations drive momentum.
Usage grows engagement
Ownership transfers. The people who own the work redesign it themselves, build and run their own agents, and drive the roadmap. Demo days every week, outcomes measured, bright spots celebrated and copied. AI tools are integrated into every activity.
Becoming AI Native
26+ years at Microsoft, most of it making enterprise operations run at scale. Now building agent fleets in the open and helping teams become AI native, bringing decades of hard-won experience to teams that are moving too fast to learn it the slow way.
Attachmate, 1991 to 1998: support technician through program management, systems engineering, and product management. Drove engineering change from direct customer experience.
RevX.net, 1998 to 2001: the startup years, wearing every hat from support and IT to business development and product design while the company grew from six people to fifty, then shrank back to fifteen. First consulting gig at age 11: a Lotus 1-2-3 worksheet for my dad's marketing firm.
Engineering GM and core team member that built Office 365: solution architect on MMS and BPOS with the first managed-service customers, then sales executive (Global Black Belt) closing the first productivity-cloud deals in Japan and US life sciences.
Built FastTrack Architects from concept to a global organization, including the Customer Health metric that now sits on an EVP scorecard. Most recently GM of New Commerce FastTrack: the modern-commerce transition for roughly 40,000 enterprise customers, influencing more than $34B in MCA-E cloud revenue last fiscal year.
FastTrack is the program that helps enterprise customers deploy, adopt, and get value from Microsoft cloud services. It is an engineering and operations organization, not a sales one: delivery PMs, feedback loops into the product teams, and the machinery that keeps thousands of engagements moving.
The last act at Microsoft: turning FastTrack operations from manual knowledge work into an agentified operating model. The path we took became the E3 model (Evangelize, Enable, Empower), the subject of this deck.
Everything here is public or one click away. Lessons from doing, not theorizing.
The hub: an overview of all the work, the app portfolio, and the SkillWorks library.
The fleet page: the big picture, the stage-by-stage board, and the full roster, animated.
The public repos: TokenTray, ReboundMan-WordMD, and ReboundMan-ReleaseToolkit.
The blog: AI agents and enterprise transitions, written from the operator's chair.
The spark for the whole system, and the one reference here that isn't my content. Everything else on this slide grew from the idea in this post.
AlgoMint Insight: the weekly digital-finance updates, researched, written, and published by an agent fleet of its own.