Repeatability
High
The structure is consistent: same columns, same transformation logic, same date-window flagging every time. This could be run monthly with minimal changes, making it highly automatable.
Ambiguity Tolerance
Medium
The 30/60/90-day flagging and merge logic are crisp, but fuzzy matching thresholds for client name deduplication require a judgment call about what counts as a duplicate. Flagging uncertain matches for human review resolves most of this.
Data & Tool Availability
High
The agent needs only the four Excel files and a Python environment with pandas and a fuzzy matching library like rapidfuzz — all standard and readily available. No external APIs or credentials required.
Error Cost
Medium
A missed duplicate or wrong expiration flag could cause a broker to miss a renewal, which has real business consequences. However, the original files are untouched and the output is a new CSV, so errors are detectable and reversible before acting on them.
Human Judgment Required
Low
The task is almost entirely mechanical — parsing, merging, deduplicating, and date math. The only human-judgment moment is reviewing flagged ambiguous duplicates, which the agent can surface explicitly rather than resolve silently.