Data Operations Automation

Example workflow:

1. Upload documents to process (any format)
2. Define what data to extract in instructions
3. Agent reads each document
4. Agent extracts specified fields (names, dates, amounts, etc.)
5. Extracted data populates spreadsheet columns
6. Low-confidence extractions flagged for review

Example workflow:

1. Upload source documents (forms, receipts, applications)
2. Agent reads each document
3. Agent maps content to spreadsheet columns
4. Agent applies validation rules
5. Errors and exceptions flagged
6. Clean data ready for downstream use

Example workflow:

1. Upload raw data spreadsheet
2. Agent identifies inconsistent formats
3. Agent standardizes names, addresses, phone numbers
4. Agent identifies potential duplicates
5. Clean data written to output columns
6. Issues logged for review

Example workflow:

1. Provide list of URLs or company names
2. Agent visits each website
3. Agent extracts specified information
4. Data normalized and populated in spreadsheet
5. Sources and timestamps logged

Example workflow:

1. Upload data to validate
2. Provide reference documents or sources
3. Agent cross-references each record
4. Agent marks valid vs. invalid entries
5. Discrepancies detailed with reasons
6. Summary report generated

Example workflow:

1. Upload source data in original format
2. Define target format in instructions
3. Agent reads and understands source structure
4. Agent maps to target format
5. Converted data populated in new structure