Launch an AI voice agent to auto-dial your lead list, ask scripted qualifiers, and capture structured responses - fast. Using conversational AI, the system follows dynamic branching logic (e.g., BANT/CHAMP) and updates the CRM in real time with notes, call outcomes, and lead scores. Qualified leads are routed to the right queue or calendar with full context, while unqualified contacts are dispositioned cleanly. This outbound lead qualification workflow improves SDR productivity, conversion to MQL/SQL, and compliance hygiene.
Manual outbound calling drains SDR hours with low connect rates, inconsistent scripts, and incomplete CRM notes. Leads aren’t qualified uniformly, callbacks get missed, and pipeline signals are noisy - hurting MQL/SQL conversion and forecast accuracy. Without conversational AI, teams can’t scale auto-dialing, apply scripted qualifiers reliably, or ensure consent, call recording, and do-not-call suppression across campaigns
Shuru’s AI Voice Agent runs an auto-dialer, greets prospects, and uses conversational AI to ask scripted qualifiers with smart branching (e.g., BANT/CHAMP/MEDDICC). It captures entities (budget, timeline, role), records consent, and logs outcomes to your CRM with disposition, score, and next best action. Qualified leads are routed to the correct queue or booked to a calendar; unqualified leads are closed with reasons. Guardrails manage compliance (consent gating, do-not-call suppression), while analytics surface connect rate, qualification rate, and conversion by list or script.
Higher MQL/SQL conversion via consistent scripted qualifiers and scoring.
Greater SDR productivity by automating dialing, note-taking, and disposition.
Faster speed-to-lead with instant outreach and automatic callbacks.
Cleaner CRM data quality: structured fields, call summaries, and outcomes.
Lower cost per opportunity through scalable conversational AI outreach.
Improved compliance with consent gating, call recording, and DNC suppression.
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