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Automated Actions let you create workflows that respond to data conditions, from daily summaries to real-time alerts when critical thresholds are breached.
Automated Actions Dashboard

How Actions Work

Actions have three components:
  1. Trigger: When to run
  2. Analysis: What to check or calculate
  3. Action: What to do with the results

Trigger Types


Approval Gates

Write-back actions pass through configurable approval levels based on risk:

Dry-Run Mode

Any action can be simulated before activation. The system shows exactly what would happen: which records would be affected, what notifications would be sent, and what values would change, all without executing. Use dry-run mode during the first 1-2 weeks of a new workflow to validate its behavior.

Action Types

Scheduled Actions

Run on a regular schedule:

Daily KPI Summary

Every morning at 7 AM, send executive summary of business health

Weekly Cash Flow Forecast

Every Monday, generate cash flow projections for the week

Triggered Actions

Run when conditions are met:

Revenue Anomaly Detection

Alert when revenue variance exceeds 15% from forecast

Margin Compression Alert

Notify when profit margins fall below acceptable thresholds

Creating an Action

1

Navigate to Actions

Click Actions in the sidebar under SYSTEM
2

Click Create Action

Start the action creation wizard
3

Choose Trigger Type

  • Schedule: Run at specific times (daily, weekly, monthly, cron)
  • Condition: Run when data meets criteria (threshold, variance)
  • Event: Run when data changes (new record, status update, webhook)
4

Define the Analysis

Describe what to analyze: “Check if daily revenue is more than 10% below forecast”
5

Configure Actions

What happens when triggered:
  • Generate dashboard
  • Send email alert
  • Post to Slack
  • Create task
  • Trigger webhook
6

Set Recipients

Who receives the output
7

Activate

Turn on the action

Example Actions

Daily KPI Summary

Revenue Anomaly Detection


Action Categories


Action Outputs

Dashboards

Auto-generated visual summaries with:
  • KPI cards for key metrics
  • Trend charts
  • Comparison tables
  • AI-written analysis

Alerts

Notifications sent via:
  • Email
  • Slack
  • Microsoft Teams
  • SMS (configurable)
  • Push notification (mobile app)

Reports

Full PDF or interactive reports with:
  • Executive summary
  • Detailed analysis
  • Visualizations
  • Recommendations

Webhooks

Trigger external systems:
  • Create tickets in Jira
  • Update records in Salesforce
  • Trigger workflows in Zapier
  • Custom integrations

Monitoring Actions

Track action performance:

Action History

View complete execution history:
  • When it ran
  • What triggered it
  • What actions were taken
  • Who received outputs
  • Any errors encountered

Multi-Step Workflows

Actions can chain multiple analysis and action steps:
  1. Detect: Identify an anomaly or condition (e.g., inventory below safety stock)
  2. Investigate: Run root cause analysis (e.g., check demand spike, supplier delay, forecast error)
  3. Assess: Quantify impact (e.g., estimated stockout in 3 days, 45K revenue at risk)
  4. Act: Take action based on findings (e.g., generate PO, alert procurement manager, update dashboard)
Each step can branch based on the previous step’s results, enabling intelligent automated responses.

Best Practices

Focus on metrics that directly impact business decisions.
Too sensitive = alert fatigue. Too loose = missed issues.
Alerts should explain WHY something happened, not just WHAT.
Regularly review action effectiveness and adjust thresholds.

Next Steps

Automated Analyst

How continuous monitoring works

Security

How actions respect access controls