I'm a learning and organizational development leader with 16+ years designing the capability ecosystems, governance, and AI-enabled systems that turn shared context into sharper decisions, personalized learning, and redesigned workflows.
Collaboration without shared context yields parallel work and superficial results. Teams constantly generate context: decisions, exceptions, conversations, signals, outcomes. Captured and governed instead of lost, it becomes the raw material for everything a capability function is asked to deliver.
Independent research points the same direction: nearly half of digital workers report struggling to find the information they need to do their jobs.Gartner Digital Worker Survey, 2023, reaffirmed in the 2024 survey.
Every decision, exception, and outcome carries knowledge about how teams and the organization actually run.
The craft in the middle: making organizational knowledge trustworthy enough to build on, and shared enough to collaborate through.
Personalized learning, redesigned workflows, automation, and informed decisions, delivered back into the flow of work.
Work is the source and enabled work is the destination. The governance in the middle becomes a crafted enabler.
Twenty years of systems, each mapped to its place in the loop.
A clean-room information system for cross-functional context exchange, told from the customer in. Press play and watch one customer signal cascade through design, compliance, tooling, and training, then return as feedback. Publish a packet yourself, read it re-voiced for every collaborator, and govern the commons. Companion reference architecture included.
Designed and built an LLM-based system that evaluates training content for regulatory compliance in a global financial services environment.
Authored a decision-making methodology, published and used at scale for compliance-driven operational workflows.
Governed an extensive cross-disciplined content library of over 1,000 training modules across global markets: standardized and audit-ready.
Runs versioned protocols governing AI-based collaboration. The working relationship becomes a managed system that can both be standardized, with appropriate personalization.
Own an AI enablement program for a global operations function: leader workshops, a School of Applied AI, and a champion network that built 30+ proof-of-concept solutions with business AI tools. Creator-reported gains total thousands of hours a year.
Improved dynamic learning assignment relevance by 40% through competency mapping and automated targeting.
Delivered $1.1M in annual savings through a proof of concept that moved learning into the context where the work happens.
Performance- and role-contextual competency mapping that connects business need to learning pathway: leaders direct development, learners drive it from their practical work.
An escalation-tracking database built as a frontline agent. A performance insights tool adopted by thousands of agents across North America. Intake architecture, workflow automation, and now AI-assisted applications and APIs.
An open-source starter kit for an evidence-governed job search: one source of truth, cited claims, automated lead scoring. A shared-context system in miniature.
The same discipline at the smallest scale: a governed, shared context between you and AI. I authored this framework, run it daily as a versioned protocol, and share it with others. Five principles, where people own, drive and create in AI-informed workflows.
| Principle | You | AI |
|---|---|---|
| Retained Authorship | Own every output | Proposes, never decides |
| Productive Friction | Seek challenge | Delivers honesty, not comfort |
| Built-in Counterbalance | Demand the other side | Argues against itself |
| Altitude Control | Set the level: strategy or detail | Works at the level you set |
| Engineered Relationship | Design the collaboration | Operates within your design |
I started in customer service. Every hard call was a system failing a person, and I wanted to fix both.
I still work that way. Find the problem nobody has named yet, build the bridge, and hand the credit to the team that carries it forward. I lead best from just behind the people doing the work, and I measure my success by theirs.
Long before AI, my favorite tool was context: asking the question someone was fully capable of answering, or laying out what I could see so others could make the better call. That habit is the root behavior I now use AI to amplify.
Away from work, I run technical stage for a sport show team: researching, building, and refining the systems that keep a live show running and a competition season on track. I knew almost nothing about show production when I started. Observation, experimentation, and feedback built things the team did not know it wanted until they saw what was possible. That method has never failed me, in any context.
My instincts were always to build. Legos got me started. Now the builds are information systems and frameworks, people driven and AI informed.
Customer service agent, then team leader, then the person coordinating outsourced partners across Asia, Europe, the US, and Latin America. That operational fluency never left; it became the foundation everything else is built on where leading through change, setting goals, organizing for success are more in focus.
As a parallel career arc, curriculum leadership in a regulated financial services environment, learning business partnership, and senior leadership of global learning programs. I led a learning function through a major operating model transformation, from a training factory into a strategic orchestration model, while sustaining scale and quality. Executive communication ran to SVP and CFO level.
Today I lead the learning function for a global customer operations organization: architecture, technology, analytics, and an AI enablement program, with end-to-end accountability for a 70+ person learning delivery team through ongoing organizational change. The function supports roughly 10,000 learners and 450 projects a year. And I still build: applications, APIs, automation, and the frameworks that govern how people and AI work together.
If the loop on this page describes a problem your organization has, we should talk.