Rethinking what an AI sales assistant can really do?
Loro replaces assistive sales software with agentic execution. It runs live voice conversations, handles objections in the moment, and progresses qualified prospects into pipeline without human intervention.
An AI sales assistant that takes ownership of outbound
Most AI sales assistants stop at reminders, summaries, or suggested next steps. Loro is built differently. It operates as an autonomous, voice-led sales platform that runs outbound conversations end to end.
Live voice conversations, handled autonomously
Loro places and manages real phone conversations on its own. Each interaction adapts in the moment based on prospect responses, tone, and objections, creating natural dialogue rather than scripted outreach.
Intent uncovered during the conversation
Interest, hesitation, and buying readiness are identified while speaking with the prospect. Decisions happen in real time, not after calls are logged or scores are calculated.
Continuous outbound execution without gaps
Outbound activity runs consistently across accounts, regions, and time zones. Pipeline creation no longer depends on rep schedules, availability, or manual task queues.
Continuous outbound execution without gaps
Outbound activity runs consistently across accounts, regions, and time zones. Pipeline creation no longer depends on rep schedules, availability, or manual task queues.
Sales-ready handoffs with full context
When a prospect is ready, Loro routes the opportunity to a human seller with conversation history, objections surfaced, and qualification signals already captured.
Clear visibility into pipeline creation
Teams can see exactly how calls turn into conversations and opportunities, with real-time insight into engagement quality, outcomes, and pipeline contribution.
Continuous outbound execution without gaps
Outbound activity runs consistently across accounts, regions, and time zones. Pipeline creation no longer depends on rep schedules, availability, or manual task queues.
How It Works
Simple three-step process to scale your outreach instantly
Turn outbound effort into measurable pipeline
Each live conversation is evaluated for intent in real time, so the same call volume produces more qualified meetings instead of unworked activity, callbacks, or stalled follow-ups.
Pipeline that maintains momentum across time zones and workloads
Opportunity creation no longer slows due to rep availability, shift coverage, or SDR bandwidth. AI sales assistants keep outbound execution running consistently across regions and time zones.
Faster insight into what drives conversion
GTM teams gain early visibility into which prospects engage, which objections delay progress, and where interest reliably becomes meetings, so optimization happens while campaigns are live, not after they end.
AI sales assistants executing outbound at true scale
Live, agentic voice conversations running continuously across active GTM motions.
50K+
Calls placed
Consistent outbound execution across campaigns
8K+
Live conversations
Direct, two-way conversations with decision-makers and buying stakeholders
7–15%
Pickup rate
Sustained engagement across outbound account lists, regions, and time zones
Stop running outreach. Start generating pipeline.
AI sales assistants don’t exist to track activity or assist reps. They exist to create qualified opportunities by holding real conversations, identifying intent in real time, and moving deals forward automatically.
Loro by Cloudtech transforms outbound into a live execution layer where pipeline is built through dialogue, not dials, delays, or disconnected workflows.
Frequently Asked Questions
Traditional sales automation focuses on managing activity, sending sequences, logging calls, or triggering reminders. AI sales assistants go further by participating in live sales execution. They engage prospects through real conversations, interpret intent as interactions unfold, and help move opportunities forward instead of just tracking tasks.
No. Modern AI sales assistants are not limited to rigid scripts or static decision trees. They adapt dynamically based on prospect responses, objections, and engagement signals, allowing conversations to remain natural while still aligning with qualification rules and GTM objectives.
AI sales assistants support outbound execution by listening, reasoning, and responding in real time. They surface buying signals, adjust messaging mid-conversation, and help determine next steps, whether that’s continuing discovery, handling objections, or escalating to a human seller.
Yes. AI sales assistants maintain consistent performance across high outbound volumes because they don’t fatigue or lose focus. This enables GTM teams to scale coverage across regions and time zones while preserving conversation quality and follow-through.
AI sales assistants integrate directly into existing GTM stacks as a conversational intelligence and execution layer. They use lead and account data to guide interactions and return structured outcomes, such as intent signals, objections, and readiness, into CRMs and sales workflows without disrupting how deals are closed.
Have more Questions?
Book a free discovery call
Introducing Voice as a New GTM Channel for AWS Partner Network Members. Autonomous AI agents that initiate calls, qualify leads, and convert them, allowing your team to concentrate on closing deals.