Enterprise AI capability leader. I design and run multi-stage programs that take managers and teams from awareness to structured experimentation to workflow redesign, and I measure the change in the work itself, not just adoption rates.
How I work
These show up whether I'm reskilling an operations team, running a design sprint for executives, or writing the measurement framework a CEO will see. They're how I lead, not what I sell.
Programs stick when the people doing the work build the system themselves, with support. I design for ownership from day one, because capability that's done to people fails, and capability people shaped tends to hold.
Adoption rates and completion certificates are vanity metrics. I measure what actually changed in the work: time reclaimed, decisions made faster, tasks redesigned around the human-AI boundary. That's the only measurement a CEO or funder cares about, and it's the only one worth doing.
Managers, operators, educators, they're not just adopters of a tool. They're people with judgment, context, and constraints. My learning design starts from that assumption, which is why participants describe the work as joyful and rigorous rather than training they endured.
Core competencies
Six capabilities that compound. Program design and org design travel together; measurement makes both durable; facilitation and infrastructure let the work scale beyond me.
Multi-stage AI fluency programs, awareness, experimentation, use-case discovery, workflow redesign, deployment, with stage gates and rubric-based artifact review.
Task unbundling (automate, augment, keep human); role and decision-rights design using RACI and RAPID; operating models, trigger-based staffing, systems thinking.
Workshops and multi-day design sprints for 40 to 120 participants. Coaching executives, managers, and frontline staff, comfortable being the person in the room.
Pre/post capability surveys, time-on-task baselines, adoption and retention thresholds, bias and accuracy testing, executive and funder reporting.
Claude (Projects, Skills, Code), ChatGPT, Gemini, Playlab, NotebookLM. Prompt engineering, agentic workflow architecture, AI-assisted analysis.
Champion and peer-learning networks, playbooks, reusable templates, and Claude-based agents that run program operations, so programs scale past direct engagement.
The path here
How do we make capability stick for the people the system misses? The audience changed. The scale changed. The question didn't.
Impact at scale
Each was a multi-month engagement I conceived, structured, facilitated, and measured. Metrics are drawn from pre/post capability data, pilot evaluations, and shipped artifacts, not completion rates or satisfaction scores.
Program lead · Design + facilitation + measurement
A 3-month internal reskilling program for Finance, HR Services, Talent, IT, Org Effectiveness, Internal Comms, and Program Operations. Each team unbundled a workflow, built an AI prototype, ran a 2-week baseline-and-impact pilot, and presented results org-wide.
Program lead · 12-week cohort, 18 workforce nonprofits
Co-funded by Salesforce, Anthropic, Crankstart, and Tipping Point. 100% of organizations shipped a working AI tool. Strongest pilots cut case-note time 83% and reached 100% voluntary staff adoption by week 2.
With Leading Educators, Salesforce, Anthropic, Crankstart, Tipping Point
Program lead · 16-week agentic AI program, 20 orgs
Scaled the model to 20 workforce nonprofits serving ~600,000 workers, funded by Google.org and Tipping Point, with Anthropic engineers as technical partners. Designed a 7-artifact chain with 2 hard gates, every tool deployed with a named owner, cost line, expansion and kill criteria.
With Google.org, Tipping Point, Anthropic engineers, JVS, Playlab
Program lead · Design + facilitation + measurement
AI capability building for 7 rural school systems across 2 states. 85% of participants reported time saved; 70% had untrained peers asking to join. One district measured 18% higher student curiosity than a control group.
With aiEDU, Collegiate Edu-Nation, Arizona Institute for Education & the Economy
Program lead · One-year program, 80+ leaders & educators
One-year AI capability program with 19 schools in 10 systems, including Denver Public Schools, Boston Public Schools, and DCPS. Teams ran two redesign-and-pilot cycles with structured coaching, then turned their practices into reusable strategy cards, a resource hub, and a published field report.
With Leading Educators and Full Scale
Program lead · Cohort + 6-month follow-up study
A cohort for 22 education and criminal justice nonprofits, with a six-month follow-up study tracking whether tools moved from experiment to standard practice, not whether a demo day looked good.
With Schusterman Family Philanthropies, Overdeck Family Foundation, Playlab
A small window into how I think
Ten questions, two minutes. You'll get a 0 to 100 readiness score, a breakdown across the five dimensions that determine whether AI adoption sticks, and a short personalized read. It's the same instrument I use with cohorts.
Your answers stay on this page. Nothing is stored or sent anywhere.
In their words
Words from superintendents, nonprofit leaders, and educators who've been through one of the collaboratives or accelerators I've led.
The Collaborative fundamentally reshaped our district's approach by moving us from tool curiosity to a systems-level, instructionally anchored AI strategy. Engaging alongside national partners provided a level of clarity, coherence, and urgency that accelerated our work beyond isolated pilots.Superintendent · RAISE Collaborative
The accelerator pushed our team to reimagine how AI can enhance human-centered leadership, and I'm leaving with new skills, a powerful product, and a renewed sense of innovation and possibility.Nonprofit leader
The work you put in to make the two days joyful, purposeful, collaborative, and energizing paid off. Our team was buzzing with ideas at the end of the programming.Nonprofit leader
Being part of the accelerator has truly been a highlight of my career. I feel like a leading voice around AI on my team.Nonprofit leader
These sessions were the best three-hour virtual sessions I may ever have experienced. They model good professional learning, balance between information and meaningful reflection.Nonprofit leader
Credentials
The formal pieces. The deeper formation came from ten years designing adult learning at national scale, but these are the lines a resume calls for.
Let's connect
AI capability, reskilling, workflow redesign, how to measure the change in the work itself. If any of that lands for you, LinkedIn is the best place to find me. I read every message that comes in.