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Monitor, manage, and control AI-driven conversations with prospects. Switch between full automation and manual control as needed for optimal results.

Operation Modes

Autopilot Mode

Fully automated operation:
  • AI handles all conversations independently
  • No human intervention required
  • End-to-end management from connection to meeting booking
  • 24/7 operation without monitoring needed
  • Scales to multiple conversations simultaneously

Copilot Mode

AI assistance with human oversight:
  • AI handles conversations with option for manual intervention
  • Take control of specific conversations when needed

Conversation Monitoring

Inbox Overview

Real-time tracking:
  • View all active conversations
  • Monitor conversation status and progress
  • Track prospect engagement levels
  • See AI responses and prospect replies
Conversation Status:
  • Active: Ongoing AI-managed conversations
  • Paused: Conversations under manual control
  • Completed: Successful meeting bookings or closures
  • Inactive: Prospects who stopped responding

Manual Control Options

Taking Control

Pause specific conversations:
  1. Navigate to Inbox
  2. Select the conversation with target prospect
  3. Click “Pause” in top-left corner
  4. AI stops responding, manual control activated
When to take manual control:
  • Complex prospect questions requiring human expertise
  • High-value prospects needing personalized attention
  • Sensitive negotiations or objection handling
  • Strategic conversations requiring custom approach

Resuming Automation

Return to AI control:
  • Select paused conversation
  • Choose “Resume” to reactivate AI agent
  • AI continues conversation from current point
  • Maintains conversation context and history

AI Response Behavior

Natural Timing

  • Response time: 1-8 minutes after prospect replies
  • Human simulation: Random timing to appear authentic
  • Immediate availability: AI always ready to respond
  • Context maintenance: Remembers full conversation history

Conversation Flow

  • First message: Sent 20 minutes to several hours after connection acceptance
  • Follow-up responses: Contextual replies based on prospect responses
  • Question handling: Addresses prospect questions using offering knowledge
  • Objection management: Handles common objections professionally
  • Closing: Secures meetings when genuine interest detected

Monitoring Best Practices

Regular Reviews

Recommended monitoring:
  • Check conversation quality and AI performance
  • Review successful meeting bookings
  • Identify areas for prompt or offering improvement
  • Monitor prospect engagement patterns
Quality indicators:
  • Natural conversation flow
  • Appropriate AI responses
  • Successful objection handling
  • Meeting booking success rate

Intervention Guidelines

Take manual control when:
  • Prospect asks highly technical or specific questions
  • Conversation requires strategic decision-making
  • High-priority prospect needs special attention
  • AI responses seem off-track or inappropriate
Stay in autopilot when:
  • Standard qualification conversations
  • Common objection handling
  • Routine follow-up sequences
  • AI performing well independently

Conversation Optimization

Performance Analysis

  • Response rates: Track prospect engagement levels
  • Conversation length: Monitor dialogue progression
  • Booking success: Measure meeting conversion rates
  • Common patterns: Identify successful conversation flows

Improvement Actions

  • Prompt refinement: Adjust based on conversation performance
  • Offering updates: Enhance AI knowledge base
  • Targeting adjustment: Modify prospect criteria
  • Response optimization: Fine-tune AI behavior

Effective conversation management balances AI automation with strategic human intervention, ensuring optimal results while maintaining conversation quality.
Last modified on February 15, 2026