Repeatability
High
The structure is identical across all 8 sheets with the same column schema, and the logic — fuzzy match names, detect duplicate rows, flag conflicts, merge — is fully repeatable. This could run on a schedule with no structural changes.
Ambiguity Tolerance
High
Success criteria are concrete: standardized names against a 45-person master list, a single merged CSV, and a separate conflict report with a data_quality_flag column. The agent knows exactly when the job is done.
Data & Tool Availability
High
Google Sheets can be accessed via API or exported to CSV; the master employee list is a defined artifact. All inputs are structured and available — no live scraping or ambiguous sourcing required.
Error Cost
Medium
Misattributing hours to the wrong employee could affect billing or payroll, which is real but recoverable — especially since the design explicitly flags conflicts for human review rather than auto-resolving them. The output is a draft, not a final ledger.
Human Judgment Required
Low
Name disambiguation against a fixed 45-person list is a well-solved fuzzy matching problem. Conflict detection is rule-based. The agent doesn't need to make billing decisions — it just surfaces ambiguities for a human to resolve.