The same fan, recognized everywhere — even when the data disagrees.
Matching records by rules alone leaves money on the table: the same fan, spelled two ways across two systems, often scores just below the bar to merge automatically. athvin pairs a statistical matching engine with an AI adjudicator that reviews exactly those borderline cases — merging the ones it can confidently confirm, and flagging the rest for a human. Here is how it works.
First, the math decides what it can.
Every candidate pair gets a match-confidence score. High scores merge automatically and the lowest are dropped. In between sits the gray zone — pairs too risky to auto-merge, yet too similar to ignore.
Then the AI does the extra leg.
Each gray-zone pair goes to Claude, which weighs the records and the model's own evidence and returns a verdict with a confidence score — auto-merging the clear matches, routing the genuinely ambiguous ones to a human, and rejecting the rest.
How a borderline pair gets judged.
The model shows Claude the two records and a field-by-field breakdown of what supports or argues against a match. Watch a confident merge and a careful rejection.
“Rob” is a common short form of “Robert.” An identical date of birth and an identical phone number are powerful corroboration; different email providers usually mean two accounts for one person, not two people.
✓ Same person — merge · 94% confidentMore records unified — every call on the record.
Statistical matching does the heavy lifting; the AI recovers the merges it would otherwise leave on the table. Figures below are illustrative of a single resolution run.
Nothing merges silently. Every AI decision is written to an immutable audit trail — the two records, the model's evidence, the verdict, the confidence, and whether it was applied — so your team can review any call at any time.
| Pair | Decision | Confidence | Status |
|---|---|---|---|
| ATH-2847 ↔ TKT-5519 | Merge | 94% | applied |
| ATH-1180 ↔ CRM-3304 | No match | 96% | logged |
| ATH-0942 ↔ DON-7781 | Review | 78% | queued for human |
Find the fans you didn't know you already had.
We'll connect a sample of your systems and show you the duplicate fans athvin resolves — including the borderline merges your current tools miss.