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AI Agents

Deploy AI Agents to automate your sales workflows. From responding to website visitors to qualifying leads, AI Agents work 24/7 to drive revenue.


What are AI Agents?

AI Agents are intelligent assistants that handle sales tasks automatically. They can chat with website visitors, qualify leads, book meetings, and manage outreach - all without human intervention.

Agent Types

AgentPurpose
Chat AgentEngage website visitors in real-time
Email AgentHandle email replies and follow-ups
LinkedIn AgentManage LinkedIn outreach and responses
Qualification AgentScore and qualify inbound leads
Booking AgentSchedule meetings automatically

Chat Agent

Setup Chat Agent

  1. Go to AgentsChat Agent
  2. Click Create Agent
  3. Configure settings:
    • Agent name and avatar
    • Greeting message
    • Working hours
    • Handoff rules

Chat Widget

Add the chat widget to your website:

<script>
window.salestoolsSettings = {
agentId: 'YOUR_AGENT_ID',
position: 'bottom-right',
primaryColor: '#0066FF'
};
</script>
<script src="https://widget.salestools.io/chat.js" async></script>

Chat Capabilities

The Chat Agent can:

  • Answer product questions
  • Qualify visitors with questions
  • Book meetings directly in chat
  • Capture lead information
  • Hand off to human agents
  • Support multiple languages

Training Your Chat Agent

  1. Go to AgentsChat AgentTraining
  2. Add knowledge:
    • Product FAQs
    • Pricing information
    • Company details
    • Competitor comparisons
  3. Test conversations
  4. Review and improve responses

Email Agent

How Email Agent Works

The Email Agent handles your outbound email responses:

  1. Monitors connected email accounts
  2. Classifies incoming replies
  3. Generates appropriate responses
  4. Sends or queues for review

Configuration

  1. Go to AgentsEmail Agent
  2. Enable for specific campaigns
  3. Configure:
    • Response tone
    • Objection handlers
    • Meeting booking integration
    • Human handoff triggers

See AI SDR for detailed setup.


LinkedIn Agent

LinkedIn Automation

The LinkedIn Agent handles:

  • Connection requests
  • Welcome messages
  • Follow-up sequences
  • Response handling

Setup

  1. Go to AgentsLinkedIn Agent
  2. Connect your LinkedIn account
  3. Configure limits and timing
  4. Create message sequences

See LinkedIn Integration for details.


Qualification Agent

Lead Scoring

Automatically score leads based on:

FactorPoints
Company size match+20
Industry match+15
Title/role match+15
Engagement level+10-25
Budget indicated+20
Timeline urgency+15

Qualification Questions

Configure questions for lead qualification:

  1. Go to AgentsQualification
  2. Add qualifying questions:
    • What's your company size?
    • What problem are you trying to solve?
    • What's your timeline?
    • Who else is involved in the decision?
  3. Set scoring rules for answers
  4. Define qualification thresholds

Routing Rules

Route qualified leads automatically:

  • Score 80+ → Enterprise sales
  • Score 50-79 → Mid-market sales
  • Score under 50 → Nurture sequence

Booking Agent

Calendar Integration

Connect your calendar:

  1. Go to SettingsIntegrations
  2. Connect Calendly, Cal.com, or Google Calendar
  3. Configure availability
  4. Set meeting types

Booking Flow

The Booking Agent:

  1. Identifies meeting intent
  2. Offers available times
  3. Confirms timezone
  4. Creates calendar event
  5. Sends confirmation email
  6. Adds reminder sequence

Meeting Types

Configure different meeting types:

TypeDurationDescription
Discovery Call30 minInitial qualification
Demo45 minProduct demonstration
Technical Call60 minDeep dive with engineering
Follow-up15 minQuick check-in

Agent Settings

General Settings

SettingDescription
NameHow the agent introduces itself
AvatarProfile image for chat
ToneProfessional, friendly, casual
LanguagePrimary language + translations
Working HoursWhen agent is active

Handoff Rules

Configure when to involve humans:

  1. Keyword triggers - Specific words route to human
  2. Sentiment - Negative sentiment = handoff
  3. Request - "Speak to human" phrases
  4. Complexity - Questions AI can't answer
  5. VIP accounts - Key accounts get humans

Notifications

Set up notifications:

  • New conversations
  • Handoff requests
  • High-value leads
  • Booking confirmations

Analytics

Agent Performance

Track agent effectiveness:

MetricDescription
ConversationsTotal interactions
Resolution Rate% handled without handoff
Response TimeAverage reply speed
SatisfactionUser ratings
Meetings BookedSuccessful bookings
Leads QualifiedQualification rate

Conversation Review

Review agent conversations:

  1. Go to AgentsConversations
  2. Filter by agent, date, or outcome
  3. Review transcripts
  4. Provide feedback for training

Best Practices

Agent Training

  1. Start with FAQs - Add common questions first
  2. Review conversations - Learn from real interactions
  3. Iterate regularly - Update training weekly
  4. Test thoroughly - Try edge cases before launch

Maximizing Effectiveness

  1. Clear handoff rules - Know when humans should step in
  2. Fast response - Speed matters in chat
  3. Personalization - Use visitor data when available
  4. Follow-up - Don't let conversations die

Common Mistakes

  1. Over-automating - Some situations need humans
  2. Generic responses - Personalization matters
  3. Ignoring feedback - Learn from poor interactions
  4. Missing handoffs - Frustrates visitors

Troubleshooting

Agent Not Responding

  • Check agent is enabled
  • Verify working hours
  • Review trigger conditions
  • Check integration connections

Poor Response Quality

  • Add more training data
  • Review and correct responses
  • Adjust tone settings
  • Add specific use cases

Missed Handoffs

  • Review handoff rules
  • Add keyword triggers
  • Lower confidence threshold
  • Test with edge cases

Support

Need Help?


Last Updated: January 2025 Version: 1.0