AI sales agents that operate inside your pipeline

Loro is a breakthrough, agentic voice platform built to do what traditional sales outreach cannot. It runs live conversations with prospects, evaluates intent as the call unfolds, handles early objections, and turns first contact into qualified meetings at scale.

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AI sales agents built to execute, not just assist

Loro’s AI sales agents don’t assist outbound, they run it.

They engage prospects through natural voice conversations, surface buying signals in real time, and move opportunities forward within the flow of the call, eliminating the need for manual follow-ups, delayed qualification, or SDR-heavy workflows.

Autonomous voice engagement with prospects

AI sales agents initiate live phone conversations independently, speak naturally, and adapt their approach in real time based on prospect responses, tone, and objections.

Real-time intent qualification

Buying interest, hesitation, and timing are identified during the call itself. AI sales agents assess readiness while speaking, not through delayed scoring or after-the-fact analysis.

Always-on outbound execution

AI sales agents operate continuously across lists, regions, and time zones. Outreach doesn’t pause for rep availability, shift changes, or calendar gaps.

Always-on outbound execution

AI sales agents operate continuously across lists, regions, and time zones. Outreach doesn’t pause for rep availability, shift changes, or calendar gaps.

Conversation-driven handoff to human sellers

When intent is confirmed, AI sales agents pass opportunities to reps with full context, including conversation history, objections raised, and qualification signals.

Transparent performance visibility

Teams get real-time insight into how outreach converts into conversations and pipeline, with clear reporting on call activity, engagement quality, and opportunity creation.

Always-on outbound execution

AI sales agents operate continuously across lists, regions, and time zones. Outreach doesn’t pause for rep availability, shift changes, or calendar gaps.

How It Works

Simple three-step process to scale your outreach instantly

More pipeline from the same outbound volume

Every conversation is assessed for buying intent as it happens, so outreach consistently turns into qualified meetings, not call activity, voicemails, or stalled follow-ups.

Predictable pipeline without human bottlenecks

Pipeline creation no longer depends on rep schedules, coverage gaps, or SDR capacity. AI sales agents keep execution running across regions and time zones with no drop-off.

Earlier clarity on what actually converts

Teams see which accounts engage, what objections slow momentum, and where interest turns into meetings, so GTM decisions are based on live signals, not lagging reports.

AI sales agents operating at real outbound scale

Agentic voice conversations running continuously across active GTM motions.

130K+
Calls placed
Consistent outbound execution across campaigns 

10K+
Live conversations
Direct, two-way conversations with decision-makers and buying stakeholders

8–25%
Pickup rate
Sustained engagement across outbound account lists, regions, and time zones

Frequently Asked Questions

1. What makes AI sales agents different from traditional outbound automation?

Traditional automation increases activity, including more emails, more dials, more sequences. AI sales agents execute the work at scale. They run live voice conversations, interpret responses as they happen, and take next actions based on intent. Instead of assisting reps, they autonomously qualify prospects and move opportunities forward.

2. Do AI sales agents follow scripts or fixed call flows?

No. AI sales agents are not driven by static scripts or predefined trees. Each conversation adapts in real time based on how the prospect responds, what objections surface, and where buying intent emerges. This keeps interactions natural while still enforcing qualification and routing logic aligned to GTM goals.

3. How do AI sales agents determine when to involve human sellers?

AI sales agents evaluate intent signals during the conversation, including engagement quality, objections resolved, urgency, and buying timeline. When readiness is clear, the agent either schedules the next step directly or hands the opportunity to sales with full conversational context, not just a lead record.

4. Can AI sales agents scale without losing consistency or call quality?

Yes. Because execution is autonomous, AI sales agents maintain consistent performance regardless of volume. Coverage scales across regions and time zones without fatigue, missed follow-ups, or quality drop-offs, enabling predictable pipeline generation without adding headcount.

5. How do AI sales agents fit into an existing GTM stack?

AI sales agents function as an execution layer inside your GTM stack. They consume lead and account data, run outbound conversations, and return structured outcomes like intent signals, objections, readiness, and next steps into your CRM and sales workflows, without disrupting how deals are closed.

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