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Build an AI agent inside Salesforce that tells SDRs Which Lead to ...
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Ask any Sales Development Representative what their day looks like and you’ll hear the same story: hours spent staring at leads. Open a lead. Scroll through the activity timeline. Check the emails. Count the touchpoints. Google the company. Guess whether this person is worth a call. Multiply that by 40–80 leads a day. “Valuable selling time gets eaten up by research and gut-feel scoring.” What if Salesforce could just tell them? That’s exactly what I built: an AI-powered utility bar component that reads a lead’s full history, sends it to Claude, and returns a structured conversion recommendation (score, signals, next steps) without the SDR ever leaving their CRM.
Let’s put numbers to this. Here’s what one lead analysis looks like, before and after: “Task Manual With AI Agent Read lead profile 2 min 0 sec (automated) Review activity history 5–10 min 0 sec (automated) Read email threads 5–15 min 0 sec (previews sent to Claude) Form a conversion opinion 3–5 min 0 sec (Claude scores it) Decide next steps 2–3 min 0 sec (listed in output) Total per lead 17–35 min ~10 seconds” For an SDR working 30 leads a day, that’s 8–17 hours saved weekly. That’s not a productivity tweak. That’s a completely different job. Those hours go back into actual selling: calls, demos, relationships.
What data gets pulled? “Lead fields: Name, Company, Title, Email, Phone, Industry, Lead Source, Status, Rating, Website, Employees, Revenue, Description, Created Date” Tasks sub-query: up to 50 recent tasks (subject, type, status, date, description)