Dallas Business Journal Women in Technology Awards Advocate Honoree (2019)
Recognized for STEM innovation and public impact through education, leadership, and technology-enabled transformation—early advocacy that now connects directly to AI modernization and human-in-the-loop coaching.
I help legacy and traditional organizations modernize for AI without losing trust, governance, or operational continuity through human-in-the-loop leadership. Fork to collaborate.
AI investments often stall when new tools collide with legacy systems, unclear ownership, and stakeholder friction. I help organizations align governance, delivery, and adoption so AI initiatives create measurable business value without disrupting the continuity they depend on.
I believe modernization starts with two questions: What are we building for the future, and what must we preserve from the past? That lens shapes how I help teams protect institutional knowledge, stakeholder trust, and operational continuity while creating practical paths to AI adoption.
AI Coaching
→ Coaching Legacy Organizations Through AI
→ What AI Coaching Really Means
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Cross‑Industry PM Playbook
Practical frameworks for leading technology and innovation across aerospace, government, nonprofit, education, and enterprise environments.
→ cross-industry-pm-playbook-ai-transformation -
Innovation‑In‑Action
Agents, PM risk assessors, and prompt libraries that operationalize governance, risk, compliance, and value realization for AI and analytics initiatives.
→ Innovation-In-Action -
Speaking‑Resources
Talks, articles, and key takeaways from TEDx, PMI, IBM, EWTG, and ProjectBites showing how these frameworks and agents are used in practice.
→ Speaking-Resources
I’ve built and shared public AI-fluency systems: GitHub agent playbooks, cross-industry PM repositories, NotebookLM explainer videos, and AI-driven demos that turn abstract AI concepts into repeatable workflows and reusable artifacts for PMs and leaders.
From June to December 2025, I created a five-repository ecosystem that moves from knowledge to implementation to trust.
- Cross-Industry PM Playbook — knowledge foundation built from patterns, frameworks, and lessons across sectors.
- Innovation-In-Action — executable agents, PM Risk Assessor prompts, and governance workflows.
- Speaking-Resources, plus the Operational-Excellence-Toolkit and forked agents repo — social proof, team-ready tools, and production-grade multi-agent patterns informing 2026 deployments.
📖 Full story
A Playbook for Leading Technology and Innovation in Traditional Environments
What I Built in 2025: AI Fluency Blog
From Traditional PM to AI-Fluent Leader (June–December 2025)
This carousel documents the 6-month transformation from traditional PM to building AI agents.
| Phase | Focus | Key Outcome |
|---|---|---|
| Foundation | Aerospace + Industrial Engineering | Structure that enables governance and scale |
| Evolution | Cross-sector fluency (aerospace → education → nonprofit) | Pattern recognition across industries |
| Transformation | AI ecosystem building | Working agents, PM Risk Assessor, and frameworks |
Why this framework matters
The same principles that guided my pivot—process mapping, cross-sector patterns, and building in public—can help others navigate theirs.
🔭 Currently working on
- Q1 2026 prototype complete — Cross-Industry AI Agent built in Microsoft Azure AI Foundry, validated through scenario-based acceptance tests across healthcare, aerospace, and education PM environments. Moving toward Version 2 expansion with an Evidence Ladder linking AI actions to executive decision thresholds.
- Active SME AI Coach engagement guiding non-technical teams through responsible AI adoption using human-in-the-loop frameworks, staged fluency progressions, and cross-industry pattern recognition.
- Learn more here → Coaching Legacy Organizations Through AI
🌱 Currently learning
- Structured AI initiative categorization using PMI's CPMAI framework — distinguishing project-level experiments from portfolio-level implementations before recommending deployment paths.
- Enterprise agent governance patterns: when Copilot Studio is sufficient versus when Azure AI Foundry is required for full lifecycle evaluation, safety testing, and scalable architecture.
💬 Ask me about
- Why PMs are not struggling with AI tools—they are struggling with positioning AI inside organizational reality.
- Stage confusion, business value translation gaps, and governance