Repeatability
High
The structure is the same every quarter: three Google Sheets, fuzzy name matching, merge, flag, output CSV. This is a well-defined recurring pipeline that benefits from automation.
Ambiguity Tolerance
Medium
The output format and summary requirements are clear, but 'true duplicate' vs. 'conflict' requires a judgment threshold the agent must set (e.g., how similar is similar enough?). Without explicit matching rules, the agent must make assumptions that may not match organizational intent.
Data & Tool Availability
Medium
Google Sheets access requires OAuth credentials and API setup; an agent with Sheets API access and Python/pandas can pull and process the data. However, the agent must be granted permissions and the sheets must be consistently structured — any schema drift breaks the pipeline.
Error Cost
High
Incorrectly merging two different donors (e.g., John Smith Sr. and John Smith Jr.) corrupts donation history, tax records, and donor communications — damage that may not surface until a donor complains or an audit occurs. Reversibility depends on whether the original sheets are preserved.
Human Judgment Required
Medium
Fuzzy name matching and suffix handling are automatable, but edge cases — same name, different email and phone — genuinely require a human to decide whether to merge or keep separate. The agent should flag these rather than auto-resolve them.