SALES AUTOMATION

    AI-SDR Infrastructure at Scale.

    The structural inefficiency in most B2B sales organizations is time allocation: Account Executives spend 60% of their capacity on unqualified leads. AI-SDR workflows resolve this by automating research, qualification, and initial engagement.

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    15-20hrs

    Saved Per Rep Weekly

    3-4x

    More Qualified Conversations

    40%

    Higher Close Rates

    Executive Summary

    AI-SDR workflow architecture that restructures the sales development function from a headcount-dependent model to an automation-first system. The platform handles lead research, multi-signal qualification, and personalized initial outreach autonomously — ensuring Account Executives engage exclusively with high-intent buyers while reclaiming 15-20 hours per rep weekly. See the full unit economics in AI SDR vs human SDR cost analysis and the data layer in the waterfall enrichment blueprint.

    THE HYBRID ARCHITECTURE

    AI Qualification, Human Closing

    The system separates qualification at scale from relationship closing — each optimized for its highest-leverage contribution.

    AI-SDR Workflows

    Automated outreach sequences with AI-powered personalization. Research, engage, and qualify leads 24/7 without adding headcount.

    Intelligent Lead Qualification

    Multi-signal scoring based on ICP fit, engagement, and intent data. Only book meetings with prospects who match your ideal buyer profile.

    High-Intent Handoffs

    Warm, qualified leads delivered directly to AE calendars with full context. Reps walk into conversations ready to close.

    What's Included

    AI-SDR workflow design and deployment
    Lead scoring model configuration
    Automated research and enrichment
    Personalized outreach sequences
    Intent signal integration
    Meeting booking automation
    CRM integration and data sync
    Performance analytics dashboard

    Frequently Asked Questions

    Deploy the AI-SDR Infrastructure

    A complimentary GTM audit maps the qualification bottlenecks, time-allocation gaps, and automation opportunities within the current sales architecture.

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