Repeatability
High
Phone normalization, email validation, and fuzzy name/company matching are structurally identical operations applied row by row. The logic is the same every time, making this highly automatable.
Ambiguity Tolerance
High
Success criteria are concrete: standardized phone format, valid email syntax, flagged duplicate pairs, cleaned CSV, and a count summary. The one soft edge — what counts as a 'likely match' — is handled by flagging for human review rather than requiring the agent to decide.
Data & Tool Availability
High
The agent only needs the uploaded Excel file; no external APIs or live data sources are required. Standard libraries (pandas, fuzzywuzzy/rapidfuzz, phonenumbers, email-validator) cover all operations.
Error Cost
Low
Duplicates are flagged, not auto-deleted, so no records are irreversibly lost. The original file is untouched, and the output is a new CSV — mistakes are easy to catch and correct before any data is acted on.
Human Judgment Required
Low
The only judgment call is confirming flagged duplicate pairs, which the task explicitly reserves for the human. Everything else — format normalization, syntax validation, similarity scoring — is rule-based and well within current AI capability.