Build a lead table that runs a workflow for each row, enriches the company record, and writes a fit score with supporting evidence.
Prepare the table and workflow
Create input columns such as company_name and domain, plus output columns such as industry, fit_score, fit_reason, and source_urls.
Build a workflow that accepts the input values, looks up the company with your chosen integration or research tools, and returns a structured result. Give the Agent explicit scoring criteria. For example, define which industries qualify and how missing evidence should affect the result.
Connect the workflow to rows
- Add a workflow group to the table and select the enrichment workflow.
- Map the row's company name and domain to the workflow inputs.
- Select and map the output columns. One row run can fill several columns.
- Run a single row and compare the values and cited sources with the company you intended to enrich.
- Run a small selection of rows. Enable Auto-run workflow only when new or changed rows should run automatically.
Check the result
Test a company with a known domain, an ambiguous company name, and a row missing both. Confirm that uncertain matches are identified instead of receiving an unsupported score.
Open an output cell's menu to inspect the row's execution trace. If a run fails, inspect the failed block and rerun that row after fixing the cause. When one enrichment stage depends on another, configure Run after dependencies.