@Work email Find and verify missing work emails. Then use @Recent context to research a timely reason to reach out and update @ICP fit.
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FROM SAVED LIST TO ACTIVE WORKSPACE
Give the repetitive research to an agent. Keep the judgment.
A traditional list stores rows. Workbench helps you improve them. Choose the rows and columns, describe the outcome, and let AI complete the repetitive work while you review the result.01
Clean inconsistent data
Normalize titles, company names, locations and other fields across a working list.
02
Fill missing information
Find emails, phone numbers, company details and research answers without leaving the table.
03
Qualify every row
Apply your ICP criteria consistently and explain why each person or company fits.
04
Create the columns you need
Add a custom field, tell the Agent what belongs there, and let it work through the relevant rows.
05
Review before you export
Filter, search, edit and select the records your team actually wants to use.
06
Keep work reusable
Return to the list, preserve the research context, and continue improving it as your market changes.
HOW IT WORKS
Bring a list. Leave with a working dataset.
Start anywhereSend qualified leads from Bunlead search, import a CSV, or create rows manually.
Shape the tableAdd, rename and type columns around the way your team evaluates prospects.
Ask the AgentReference a column, choose selected or visible rows, and describe the work in plain language.
Review and refineSearch, filter, edit and remove records before exporting the final list.
WHAT WOULD YOU DELEGATE?
Talk to the list like you’d brief a researcher.
Find a verified work email for every selected contact.Research each company’s current hiring priorities and summarize them.Standardize these job titles and classify the likely buyer role.Remove duplicates and flag records with conflicting company information.Score every row against our ICP and explain the score.Create a personalized research note using the company website and recent signals.