Adoption engine
Builds repeatable rhythms for AI practice, from launch moments to sustainment.
AI adoption and enablement portfolio
Helping enterprise teams turn AI capability into confident day-to-day practice.
I design adoption programs, practitioner labs, enablement content, and feedback loops that make complex tools understandable, usable, and measurable.
Role fit
Built for the operating work of AI adoption.
The AI Adoption and Enablement Lead role needs someone who can run the practical adoption engine: forums, content, practitioner guidance, feedback synthesis, and leadership-ready signals.
Practitioner communities
Facilitates forums where people leave with clearer next actions, not just awareness.
Feedback loops
Turns questions, friction points, and field signals into themes leaders can act on.
Enablement content
Creates practical guides, labs, activities, and communication assets that stay usable over time.
Aligned execution
Uses stakeholder empathy, behavior targets, and adoption evidence to make change concrete.
Leadership communication
Connects program activity to progress, risks, outcomes, and business value.
Selected work
Evidence of enablement, behavior change, and measurable adoption.
Featured AI enablement sample
Vibe Coding Labs
Hands-on labs where practitioners use AI coding tools to plan, build, preview, and iterate projects such as a newcomer-friendly explainer.
- Turns AI fluency into a repeatable workflow people can practice.
- Uses structured prompts, planning checkpoints, and visual verification.
- Includes guidance for different tooling paths, including Cursor and GitHub Copilot.
Maps directly to AI practitioner enablement, tool confidence, repeatable operating cadence, and sustained behavior change.
AI adoption learning journey
Ethical AI Activity
An introductory activity from an Adopting AI learning journey that helps participants explore misinformation, bias, privacy, harmful content, and manipulation.
- Frames AI risk through an engaging activity instead of a lecture.
- Part of a broader set of 16 adoption activities.
- Prompts participants to generate, inspect, and debunk AI-created content.
Useful evidence for AI misconception management, practical adoption content, and responsible-use enablement.
Security renewals specialist enablement
Role-Based Onboarding
A role-based onboarding redesign that shifted learning away from broad technical coverage and toward the work new hires needed to perform in the first 90 days.
- Reduced online learner experience from more than 22 hours to under 8 hours.
- Designed standard experience and exposure activities for mentors.
- Helped new hires create relevant quotes sooner and decreased time to value from months to weeks.
Shows stakeholder influence, performance-centered design, mentor enablement, and adoption outcomes.
Design thinking and operating model
Learning Framework Redesign
A redesign effort that used stakeholder personas, empathy maps, design challenges, and prototypes to make a learning framework faster and more useful.
- Led a redesign team through a four-session design thinking process.
- Built a template, high-level process, and best-practice examples.
- Reduced analysis from 1-2 months to a 2-3 week process.
Shows pragmatic OCM habits: empathy, process design, stakeholder clarity, and reusable enablement standards.
Field adoption and feedback synthesis
Pricing and Negotiation Curriculum
A curriculum built with pricing and field teams to help account executives position a new consumption pricing model and negotiate without jumping straight to discounts.
- Iteratively tested curriculum pieces over several months.
- Shared field feedback with pricing and deal strategy teams.
- Commercial teams tied the approach to closing part of a 60 million dollar consumption-to-revenue gap.
Shows adoption signal gathering, cross-functional partnership, field feedback loops, and business-value storytelling.
How I run adoption
A practical operating model for sustained AI usage.
Adoption is not a one-time training event. The work is to create a steady system that helps people try, learn, ask better questions, and keep improving.
Clarify the behavior
Translate strategy into the specific practitioner actions that should change.
Build the cadence
Run forums, labs, sessions, and communications as a living operating rhythm.
Make practice visible
Use artifacts, examples, prompts, and role-ready activities so people can see what good looks like.
Listen for friction
Track questions, misconceptions, participation, and moments where usage breaks down.
Synthesize signals
Turn recurring patterns into recommendations for product, platform, AI, and leadership partners.
Sustain and evolve
Refresh content and operating rhythms as maturity, tooling, and business priorities change.
Next conversation
A portfolio for enterprise AI adoption work.
This site is intentionally focused for the AI Adoption and Enablement Lead role: less archive, more signal.