Contribution
Private internal deployment; public link withheld.
An AI assistant that answers questions about work progress using project data and Google Sheets. Requests that need a decision are passed to a person.

Human operators repeatedly spend attention on status follow-ups, progress reports, and routine information requests. Static chatbots cannot answer reliably when operational data changes continuously.
The goal is not to remove human communication, but to reserve human attention for situations where judgment and direct communication add the most value.

The assistant is designed around grounded retrieval rather than unrestricted generation. It handles routine requests first, but uncertainty is a reason to escalate?not a reason to invent an answer.
As system designer and reviewer, I designed the workflow, connected the assistant to dynamic operational data and RAG knowledge, defined the escalation boundary, reviewed the AI-assisted implementation, and validated the private internal deployment.
Private internal deployment; public link withheld.
The assistant classifies a question and determines whether it can answer safely. Supported requests retrieve current structured or RAG knowledge and generate a grounded response; unsupported or sensitive requests are escalated to a human.