I turn slow, manual business processes into working automations that teams actually use.

Before automation, I spent 10 years as a Registered Nurse and worked in medical billing and revenue cycle. That work taught me how to find where a process breaks, what the real root cause is, and how to fix it without disrupting the people doing the work. I now apply that same thinking to business operations using AI and automation tools.

• Data reconciliation: matching records across systems that do not talk to each other, and flagging what does not match
• AI powered intake and triage: reading incoming emails or requests, extracting the key details, and routing them into trackers
• Reporting from scattered sources: pulling data from several tools into one view that answers a real business question
• No code and low effort automations: Zapier, n8n, Make, Airtable, and Google Workspace workflows
• Bulk content and data cleanup with AI: structured generation and cleanup of large datasets with consistent quality rules

Email to Operations Tracker Automation (live since September 2026) Incoming emails are read by Gemini, which extracts the task, owner, priority, and deadline, then writes a clean row into a shared Google Sheets tracker used for daily executive operations. Tested across single task emails, vague deadlines, informational updates, and emails with multiple actions. Known limitation documented: emails with several equal priority actions create one row for the primary action. Stack: Gmail, Google Workspace Studio, Gemini, Google Sheets

Structured Content Generation Pipeline Designed a batch generation pipeline that produced 3,300 structured exam questions across 11 chapters, with fixed rules for difficulty balance, question type balance, answer rationales, and output format. Stack: Claude, batch generation, structured markdown output

• Credit card reconciliation tool (statement against accounting export)
• Multi source sales and inventory reporting view
• Product catalog cleanup tool for large product lists
• AI customer support responder with a knowledge library

Each project is built with an AI coding assistant, uses sample data only, and includes a README explaining the problem, the approach, how to run it, and its limitations.

• Email: goodnessajii@gmail.com
• LinkedIn: linkedin.com/in/goodness-ajii

Open to remote AI workflow, automation, and operations roles.