Professional Overview
I help organizations determine where AI and automation actually belong in the business—and what should happen before they build. As Founder & Principal of eunoiaAI, I work across business process analysis, workflow intelligence, AI opportunity assessment, implementation planning, agentic workflow design, and governed AI adoption. My approach begins with the work itself: how a process operates today, where friction and exceptions occur, what decisions are being made, what data and systems are involved, and where human judgment needs to remain. From there, I help organizations identify and prioritize viable AI and automation opportunities, evaluate build-vs-buy and human-led alternatives, define implementation roadmaps, and establish the controls needed for responsible production use. Engagements can range from focused workflow diagnostics and roadmaps through governed AI implementation and agent design. A successful outcome is not automatically “build AI.” Sometimes the right answer is to use an existing platform, redesign the workflow, address a data constraint, retain human control, or pause until the business case is stronger.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Lead AI workflow discovery, opportunity assessment, and implementation planning
- Map workflows, decisions, exceptions, data needs, and human approval points
- Evaluate build, buy, integrate, redesign, human-led, and pause alternatives
- Design governed AI agents and human-approved workflow automation
- Define AI governance, evaluation, monitoring, rollback, and operating controls
Key Achievements / KPIs
- Built a governed service model spanning AI decision clarity through operations
- Developed a tiered framework for governable AI agent design and deployment
- Established decision controls that allow “do not build” as a valid outcome
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Lead AI workflow discovery, opportunity assessment, and implementation planning
- Map workflows, decisions, exceptions, data needs, and human approval points
- Evaluate build, buy, integrate, redesign, human-led, and pause alternatives
- Design governed AI agents and human-approved workflow automation
- Define AI governance, evaluation, monitoring, rollback, and operating controls
Key Achievements / KPIs
- Built a governed service model spanning AI decision clarity through operations
- Developed a tiered framework for governable AI agent design and deployment
- Established decision controls that allow “do not build” as a valid outcome
Areas of Expertise
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
