AI Implementation & Business Process Automation

Tanya Omelchuk

Process clarity · workflow mapping · automation logic · AI-assisted systems

I help teams identify where workflows need documentation, where automation belongs, and where AI can support analysis, coordination, and decision-making.

Portrait of Tanya Omelchuk.

About

I work in AI implementation and business process automation, with a focus on helping teams identify where automation or AI belongs inside real operations.

My work sits at the intersection of process clarity, workflow mapping, deterministic automation, and AI-assisted decision-making. I am especially interested in the boundary between workflows that need better documentation, workflows that can be automated through clear rules, and workflows where LLMs can support judgment, classification, analysis, or coordination.

I have built and documented workflow systems using Airtable, Make, Zapier, APIs, and AI-assisted development tools. I also prototype with n8n, Claude Code, OpenAI, and Anthropic tools.

My current focus is on practical AI-enabled workflow systems: bounded, monitored processes that coordinate tasks across tools while preserving auditability, reliability, and human oversight.