Deploy a team of AI agents — researcher, qualifier, writer, scheduler — that work together to move leads from cold to closed.
Reps spend more time on admin than selling
Lead research is manual and inconsistent
Follow-up sequences fall through the cracks
No personalization at scale — every email sounds the same
Pipeline visibility depends on reps updating the CRM
AI lead research agent
Automated lead qualification
Personalized outreach at scale
Multi-channel follow-up sequences
Automated meeting scheduling
Pipeline analytics dashboard
We analyze your sales process, identify manual bottlenecks, and design the multi-agent architecture.
Build specialized agents: researcher, qualifier, copywriter, scheduler. Define handoff rules between agents.
Implement the orchestrator that routes leads between agents based on stage, score, and behavior signals.
Launch with A/B testing, performance dashboards, and continuous optimization of agent prompts and workflows.
We select the best tools for your specific needs from our 45+ tool stack.
Multi-agent systems use specialized AI agents for each task. A researcher agent finds data, a qualifier scores leads, a writer drafts emails — each optimized for its role.
Absolutely. AI agents handle the repetitive work while your reps focus on high-value conversations and closing.
A central orchestrator routes leads between agents based on pipeline stage, lead score, and engagement signals.
HubSpot, Salesforce, Pipedrive, and most CRMs. The system reads and writes deal data automatically.

Automate lead capture, qualification, and follow-up so your sales team only talks to prospects ready to buy.
Learn moreWe build end-to-end AI workflows with n8n, Make & Zapier that eliminate manual processes and connect your entire tech stack.
Learn moreWe build AI-powered analytics that let you query business data in plain English, get automated insights, and make faster decisions.
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