What are AI Agents?

AI agents in CompanyPilot are autonomous workers that handle specific business tasks without requiring constant supervision.

How AI Agents Work

Unlike traditional automation that follows rigid if-then rules, AI agents:

1. Understand Context: They analyze situations and make intelligent decisions
2. Learn Over Time: They improve based on your feedback and outcomes
3. Work Autonomously: They complete tasks without manual intervention
4. Adapt to Changes: They adjust their approach based on results

Types of AI Agents

Marketing Agent

Handles all your marketing tasks:

• Creates social media posts
• Writes blog content
• Schedules campaigns
• Analyzes performance
• A/B tests messaging

Best for: Businesses that need consistent content output without hiring a full marketing team.

Sales Agent (SDR)

Manages your sales pipeline:

• Qualifies inbound leads
• Sends personalized outreach
• Books meetings automatically
• Follows up with prospects
• Updates CRM records

Best for: Companies with high lead volume that need efficient qualification.

Support Agent

Provides customer assistance:

• Answers common questions
• Resolves simple tickets
• Escalates complex issues
• Updates knowledge base
• Tracks customer sentiment

Best for: Teams overwhelmed with repetitive support requests.

Analytics Agent

Generates insights:

• Pulls data from multiple sources
• Identifies trends and anomalies
• Creates reports automatically
• Provides recommendations
• Forecasts outcomes

Best for: Data-driven teams that need actionable insights quickly.

Agent Capabilities

Each agent can:

• Read: Access data from connected tools and platforms
• Write: Create content, update records, send messages
• Analyze: Process information and identify patterns
• Decide: Choose the best course of action based on context
• Execute: Complete tasks automatically or with approval

Approval Levels

You control how much autonomy each agent has:

Agent Training

Agents improve through:

1. Feedback: Approve, reject, or edit their work
2. Guidelines: Set rules and preferences
3. Examples: Show them what good looks like
4. Outcomes: They learn from what works

Limitations

AI agents are powerful but have limits:

• They work best on repetitive, well-defined tasks
• They require clear guidelines and feedback
• They may need human oversight for complex decisions
• They improve over time but aren't perfect immediately

Getting Started

To create your first agent:

1. Go to Dashboard → Agents
2. Click "Create New Agent"
3. Choose the agent type
4. Configure preferences
5. Start with Draft Mode
6. Provide feedback to improve

Best Practices

• Start small: Begin with one agent and one task
• Be specific: Clear instructions lead to better results
• Give feedback: Help your agent learn your preferences
• Monitor regularly: Check performance and adjust as needed
• Scale gradually: Add more capabilities once comfortable

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Ready to create your first agent? Check out our Agent Setup Guide.