Building a Buying Committee Finder with Clay & AI

I demonstrate how I created a buying‑committee finder workflow in Clay that uses AI to normalize inputs, identify RevOps, marketing, and sales contacts for each account, loop through keyword lists, rank candidates, and fill gaps with web‑research agents when Clay's People data is incomplete. The workflow then exports the finalized committee list to an audience or directly into a CRM such as Salesforce or HubSpot, keeping account data clean and up‑to‑date for go‑to‑market activities. I provide a link to the template so you can deploy the same flow with your own AI and Clay setup, and I encourage you to connect it to your CRM to automate ongoing committee maintenance.