What should I alert on?

Alert on: failures, high error rates, SLA breaches, unusual volumes, resource exhaustion. Avoid alert fatigue - only alert on actionable conditions. Use severity levels.

How detailed should logging be?

Enough to troubleshoot issues without overwhelming storage. Log: start/end times, key decisions, errors with context, external interactions. Consider: can I debug from these logs?

Who should see automation dashboards?

Different views for different audiences: ops team (technical details), business owners (outcomes, volumes), executives (value delivered, ROI). Tailor metrics to audience.

How do I measure automation ROI?

Track: time saved (volume × time per transaction), error reduction, FTE reallocation, customer impact. Compare against baseline. Include ongoing costs. Report regularly.

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Automation Monitoring

Tracking automation performance, health, and outcomes through dashboards, alerts, and analytics to ensure reliable operation.

In-Depth Explanation

Automation monitoring provides visibility into how automated processes are performing. It enables proactive issue detection, performance optimisation, and continuous improvement.

Monitoring dimensions:

Availability: Is automation running?
Performance: How fast, how much?
Errors: What's failing, how often?
Business outcomes: Is it achieving goals?
Costs: Resource consumption, API costs

Key metrics:

Success/failure rates
Processing volumes
Execution times
Error rates and types
Queue lengths
SLA compliance
Cost per transaction

Monitoring components:

Dashboards (real-time visibility)
Alerts (proactive notification)
Logs (detailed troubleshooting)
Reports (trend analysis)
Analytics (pattern identification)

Business Context

Without monitoring, automation is a black box. Monitoring ensures issues are detected early, performance is understood, and value is demonstrated.

How Clever Ops Uses This

We build comprehensive monitoring for Australian businesses, ensuring automation health is visible and issues are caught before they impact operations.

Example Use Case

"A dashboard showing real-time bot status, daily processing volumes, error rates by type, and trend charts, with alerts if error rate exceeds threshold."