GreenPulse Built a $4.2M Pipeline in 6 Months Using AI Agent Teams

GreenPulse Energy sells commercial solar installations (avg. deal size $180K). Their sales team of 22 reps was struggling with top-of-funnel: only 3% of outbound calls converted to meetings, prospect research was manual (45 min per company), and reps spent 60% of their time on non-selling activities. Annual pipeline was flat at $6.8M despite growing headcount. CAC had risen to $12,400.

We deployed an integrated AI sales engine: (1) Research Swarm — overnight batch processing of prospect lists: pulls energy consumption estimates, building specs, utility rates, sustainability commitments, and decision-maker contacts for target companies. Delivers enriched prospect briefs each morning. (2) Voice Outbound Agent — makes initial outbound calls using the research swarm's intelligence, qualifies interest-level, handles objections with industry-specific talk tracks, and books meetings directly into reps' calendars. (3) WhatsApp Follow-up Agent — nurtures prospects post-call with relevant case studies, ROI calculators, and meeting reminders. All integrated with Salesforce.

Week 1–2: Mapped ICP (ideal customer profile) and built prospect scoring model from 3 years of closed-won deal data. Week 3–4: Research swarm deployed — processing 500 prospects/night with 23 enrichment data points each. Week 5–6: Voice agent trained on 200+ recorded sales calls, objection-handling playbooks, and product knowledge base. Week 7–8: WhatsApp nurture agent launched. Week 9–10: Full integration testing and go-live.