Repeatability
High
Fuzzy matching on structured fields (name, email, phone, company) follows a consistent algorithmic pattern every time. The same logic applies regardless of which contacts appear in the file.
Ambiguity Tolerance
High
Success criteria are explicit: one deduplicated master list and one review CSV of 50–100 high-confidence matches. The agent can objectively measure whether both outputs exist and whether the review set falls within the specified range.
Data & Tool Availability
High
The agent only needs the CSV file and standard libraries (e.g., Python with pandas, recordlinkage, or fuzzywuzzy). No external APIs, credentials, or live system access are required.
Error Cost
Low
The original CSV is preserved, no records are deleted without human approval, and the mandatory review step catches high-risk merges before they're committed. Mistakes are easily reversible.
Human Judgment Required
Low
The bulk of the work is algorithmic similarity scoring, which AI handles well. The task explicitly offloads the genuinely ambiguous cases (50–100 records) to human review, so the agent doesn't need to make hard judgment calls.