CloudMetrics Platform | saas

B2B SaaS Automates Sales Pipeline with Multi-Agent System — 215% More SQLs

Denver, COB2B SaaS (45 employees)10 weeks engagement

AI AgentsLead GenerationWeb Design

Challenge

CloudMetrics had a classic scaling problem: their 8-person sales team was spending 60% of their time on manual prospecting, CRM data entry, and follow-up sequences instead of closing deals. Each rep was researching prospects on LinkedIn, crafting personalized outreach, logging activities in HubSpot, and qualifying inbound leads—all manually. Despite spending $18,000/month on inbound marketing, their lead-to-SQL conversion rate was just 12%. By the time reps researched a prospect and sent a personalized email, 3-5 days had passed. Pipeline velocity was painfully slow, and the VP of Sales estimated the team was leaving $2.4M in annual revenue on the table due to slow follow-up and inconsistent qualification.

Solution

We designed and deployed a multi-agent AI system that orchestrated the entire top-of-funnel process: Research Agent: An AI agent that automatically enriched every inbound lead with firmographic data, tech stack analysis, funding history, and recent company news. It pulled from LinkedIn, Crunchbase, BuiltWith, and the prospect's own website to build comprehensive profiles in under 30 seconds. Outreach Agent: Using the research agent's intelligence, a specialized writing agent crafted hyper-personalized email sequences. Instead of generic templates, each message referenced specific pain points relevant to the prospect's industry, tech stack, and growth stage. Qualification Agent: An AI agent that scored and qualified leads through natural email conversations, asking strategic questions about budget, timeline, and decision-making process. It could handle objections and route hot prospects directly to calendar booking. CRM Sync Agent: Every interaction, email, meeting, and qualification note was automatically logged to HubSpot with structured tags and deal stage updates—eliminating manual data entry entirely. Orchestration Layer: Built a supervisor agent using LangGraph that coordinated all four agents, handled edge cases, and escalated complex scenarios to human reps with full context summaries.

Results

+215%

Sales Qualified Leads (SQLs)

34/month → 107/month

+217%

Lead-to-SQL Conversion Rate

12% → 38%

-99.9%

Time to First Touch

3.2 days → 4 minutes

-83%

Rep Time on Prospecting

60% of day → 10% of day

+217%

Pipeline Revenue (Quarterly)

$1.2M → $3.8M

“This isn't just automation—it's like having four expert SDRs that never sleep. The research quality alone is better than what our team was producing manually. My reps now spend their time on actual selling, and our pipeline has never been healthier. We closed $680K in new ARR last month from leads the AI system qualified and nurtured.”

Jessica Torres

VP of Sales, CloudMetrics Platform

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