DataReconIQ – AI-assisted data reconciliation with human oversight

Summary: DataReconIQ is a human-in-the-loop tool that uses AI to suggest, score, and explain matches in messy operational and financial datasets while flagging uncertain cases for human review. It avoids brittle scripts and forced matches, prioritizing correctness over speed.

What it does

It analyzes two datasets to propose possible matches with confidence scores and explanations, allowing users to review flagged uncertainties instead of relying on automated decisions.

Who it's for

Designed for professionals handling operational and financial data requiring accurate reconciliation without assuming perfect schemas.

Why it matters

It addresses the challenge of safely reconciling imperfect datasets by combining AI suggestions with human judgment to prevent errors from forced matches or fragile processes.