I help teams design practical AI-enabled operating processes, establish usage guidance and quality controls, and train people to use AI tools effectively in their day-to-day work.

• Discovery session with the relevant team or process owner • Review of existing workflows and AI usage • Identification and prioritization of practical AI use cases • Design of repeatable AI-enabled workflows • One team enablement/training session • Operating guidance or lightweight SOP documentation • Quality-control and human-review recommendations • Adoption and feedback-loop recommendations • Suggested KPIs for measuring effectiveness • Final recommendations and next-step roadmap

My approach is grounded in operational execution rather than one-off AI demonstrations. I focus on whether a workflow can be understood, adopted, measured, quality-controlled, and improved over time.

My enterprise AI operations experience includes leading four concurrent AI workstreams through 11 squad leads and supporting up to 300 contributors, with quality improvement from approximately 85% to 95%.

Best suited for: teams introducing AI tools, organizations struggling with inconsistent AI usage, operations teams building repeatable AI workflows, and managers who need practical adoption rather than generic AI training.