Advise
I start my engagement with hard data and specific context. Every new release from OpenAI, Google, Anthropic, and Microsoft is benchmarked for capability, latency, cost, security, and hardware roadmaps. I map those findings against competitive research to show where you stand today and how advances will change your strategy, your costs, and your workplace tomorrow. My guidance is grounded in an ethical point of view to make your transitions less disruptive and more compelling for both you and your workforce.
Using my own experiences, backed by a role-impact matrix tied to O*NET and other labor data, I identify which job families feel pressure first, where augmentation helps fastest, and which new skills will matter. Scenario models and ROI calculators turn these insights into numbers that boards understand.
The results feed an AI Journey roadmap for your business that spans model selection, data architecture, security controls, hardware scaling, and talent transition. Reference builds and prompt libraries show value within weeks. Dashboards track adoption, autonomy, overrides, and cost avoidance so leaders see progress in real time. Engagements run on fixed fees or retainers with regular research briefs that keep the plan current.
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Strategy only lands when it reaches the work floor, the chat thread, and the late-night rush before a pilot goes live. That is where I operate. I measure adoption and utilization at every step, and I provide results superior to industry benchmarks.
My background covers two decades of operations leadership, Six Sigma rigor, and live generative-AI rollouts at Fortune 50 scale. I have carried P&L, run call centers, and led professional-services teams, so I translate between code, compliance, and culture.
Retained “AI Sherpa” services
- Office hours and ad-hoc sessions for teams that hit a wall
- Rapid prototypes so an idea moves from whiteboard to demo in days
- Governance playbooks tuned to your data and regulators
- Cohort coaching that turns early adopters into peer mentors
- Executive support with data stories and risk framing
- Transparent metrics for gain at each stage
Front-line staff see wins they created, middle managers learn to steer AI safely, and executives get numbers they can trust. Your organization grows its own capability instead of renting it.
Educate
I design practical learning paths in generative AI for every audience, from executives to high-school STEM clubs. Programs range from two-hour primers to ten-week labs and enterprise bootcamps, each matched to industry needs and risk posture. I have taught operations management, data science, and change management for decades and can speak any industry language.
Tracks
- Literacy. Hands-on workshops that teach AI basics, prompting, modalities, agent design, and governance.
- Manager-to-Architect. Cohort training that equips line leaders to run pilots and scale responsibly, grounded in proven operations methods.
- Community. Public or nonprofit sessions that widen access to AI tools.
Every session blends live demos, curated exercises, tuned agents for continued practice, and clear guidance on ethics and safety. Participants leave ready to spot an AI opportunity, design a safe pilot, and deliver results with confidence.