How to Use Autonomous Agents in SnowCoder: A Complete Guide

What If Your ServiceNow Instances Could Monitor Themselves?

Managing ServiceNow instances is a constant balancing act. You're tracking SLA compliance, watching for performance issues, optimizing licenses, planning upgrades, and triaging incidents—often across multiple instances simultaneously.

What if AI could handle the monitoring and analysis for you, 24/7, and alert you only when action is needed?

That's exactly what SnowCoder's autonomous agents do.

What Are SnowCoder Agents?

Agents are AI-powered automations that continuously monitor your ServiceNow instances and provide intelligent recommendations. Unlike simple scripts or monitors, these agents use Yeti AI to analyze patterns, predict issues, and suggest specific actions.

Each agent specializes in a critical area of ServiceNow operations:

The Six Agents Explained

Getting Started with Agents

Step 1: Connect Your ServiceNow Instances

Before creating agents, ensure your ServiceNow instances are connected to SnowCoder. Each agent needs at least one instance to monitor.

Navigate to Settings → ServiceNow Instances and verify your connections are active.

Step 2: Create Your First Agent

Option A: One-Click Auto-Setup

The fastest way to get started:

1. Go to MSP Agents in the navigation
2. Click Auto-Setup
3. SnowCoder creates all five schedulable agent types for every connected instance

This is ideal for getting comprehensive coverage immediately.

Option B: Create Individual Agents

For more control:

1. Click Create Agent
2. Select the agent type
3. Give it a name and description
4. Choose the instances to monitor
5. Configure the schedule (or use defaults)
6. Click Create

Step 3: Start the Agent

New agents are created in a stopped state. To activate:

1. Find your agent in the list
2. Click the Start button
3. The agent begins its scheduled monitoring

You can also click Execute Now to trigger an immediate run.

Step 4: Monitor Results

Once running, your agent dashboard shows:

• Status: Running, stopped, paused, or error
• Last Run: When the agent last executed
• Activity: Recent findings and recommendations
• Token Usage: Cost tracking (24h, 7d, 30d, all-time)

Step 5: Review Reports

Agents generate detailed reports after each execution. Access them in the Reports tab:

• View reports directly in markdown format
• Download for offline review or sharing
• Reports are stored securely and accessible anytime

Best Practices for Agent Configuration

Match Schedules to Your Needs

Start Conservative, Then Tune

Begin with default schedules and adjust based on:

• Token consumption (visible in the Metrics tab)
• Value of insights (are you acting on recommendations?)
• Instance criticality (production vs. development)

Assign Multiple Instances Strategically

You can assign multiple instances to a single agent. This is efficient when:

• Instances have similar configurations
• You want consolidated reporting
• Token budget is limited

Create separate agents when:

• Instances need different schedules
• You want isolated activity logs
• Different teams own different instances

Use Pause for Maintenance Windows

During planned maintenance:

1. Pause agents (keeps schedule, skips execution)
2. Complete your maintenance
3. Resume when ready

This prevents false alerts during expected downtime.

Understanding Agent Output

Activity Logs

Every agent execution creates activity log entries with:

• Severity: Info, Warning, Error, Critical
• Type: Execution, recommendation, alert
• Message: What the agent found
• Timestamp: When it happened

Filter logs by date range, severity, or instance to find specific events.

Metrics

The Metrics tab shows:

• Execution frequency: How often the agent runs
• Token consumption: Input and output tokens per run
• Cost tracking: Cumulative spend over time
• Success rate: Percentage of successful executions

Reports

Reports provide structured analysis in markdown format:

# Health Monitor Report - Production Instance
Generated: January 28, 2026 14:30 UTC

## Executive Summary
Overall Health Score: 87/100 (Healthy)

## Key Findings
- Transaction volume stable (+3% week-over-week)
- No critical anomalies detected
- Memory utilization trending upward (monitor recommended)

## Recommendations
1. Review scheduled jobs running between 2-4 AM (high concentration)
2. Consider archiving incidents older than 2 years (450K records)
...

Cost Management

Agents consume tokens for each execution. Here's typical usage:

Tips for managing costs:

1. Adjust schedules — Run less frequently on non-critical instances
2. Pause unused agents — Don't pay for monitoring you're not reviewing
3. Use Auto-Reload — Set token thresholds to avoid interruption
4. Review Metrics — Identify agents with low ROI

Real-World Scenarios

Troubleshooting

Agent Shows "Error" Status

1. Check the Activity tab for error details
2. Common causes:
   • ServiceNow instance connection lost
   • Insufficient token balance
   • API rate limiting

Agent Not Running on Schedule

1. Verify agent status is "Running" (not "Paused" or "Stopped")
2. Check that assigned instances are connected
3. Review the configured schedule in Settings

Reports Not Generating

1. Ensure execution completed successfully
2. Check token balance (report generation requires tokens)
3. Wait a few minutes (report generation is asynchronous)

What's Next?

Agents are most powerful when integrated into your operational workflow:

1. Set up email notifications — Get alerted when critical issues are found
2. Schedule weekly report reviews — Make agent insights part of your routine
3. Combine with conversations — Ask SnowCoder to explain or act on agent findings
4. Scale across instances — Add agents as you connect more ServiceNow environments

Summary

SnowCoder agents transform ServiceNow operations from reactive to proactive. Instead of discovering issues when users complain, you're alerted before problems impact service levels.

Start with the SLA Guardian on your production instance—it's the fastest path to measurable value. Then expand to Health Monitor and License Optimizer as you see the benefits.

Your instances are running 24/7. Now your monitoring can too.