Enrich lead company data with ChatGPT
Make · Sales · checked 2026-10-28
_Run waterfall enrichment with an agent that picks the right data enrichment tool for each missing detail, moves on when one comes back empty, and writes the results back with their source for complete CRM data enrichment._ **Problem.** Leads often land in the CRM with little more than a name and email. Sales operations teams fill the gaps by hand, checking one enrichment tool, then another when the first comes back empty, because no single source covers every lead. Records sit incomplete and reps work them without knowing who they are calling or what the company does. **Solution.** An AI agent picks up each lead as it is added to the CRM, works out which details are missing, and draws on a set of enrichment tools to fill them. It chooses which source to query based on the gaps and earlier results, moving on to another tool when one comes back empty. It writes the details it finds back to the lead and notes which source each one came from, flagging any lead it could not complete.
At a glance
- Brand
- Make
- Jobs
- Sales
- Sources
- 1
Dimensions
- Brands: Make
- Agents: Make AI Agents · Visit via /go/
- Occupations: Sales
- Industries: cross-industry
- Tasks: research
Sources
- https://playbook.make.com/dashboard#use-case-fill-missing-details-on-new-leads · fetched 2026-10-28 — “_Run waterfall enrichment with an agent that picks the right data enrichment tool for each missing detail, moves on when one comes back empty, and writes the results back with thei”
Last checked 2026-10-28. Description source: detail-page.