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A common point we hear from customers is that ‘we have tried automation before and got fed up with it constantly breaking’. And we hear you.
It is worth noting that AI and automation workflows have become essential tools for businesses, streamlining processes and boosting efficiency. However, even the best-designed workflows can fail. But that’s actually ok and part of the process when you understand the mechanics of automation.
Understanding why these failures occur is the first step to preventing them and ensuring reliable operations.
Below we have a breakdown of the most common causes and their explanations.
Common Causes of Workflow Failures
Here's How We Mitigate These Issues
- Proactive Monitoring: We set up error workflows and notifications to catch issues as they happen.
- Validation and Testing: We validate inputs and test workflows regularly with a variety of edge cases.
- Retry and Fallback Mechanisms: We implement retries for transient errors and define fallback paths for critical tasks.
- Regular Updates: We keep your nodes, APIs, and other dependencies updated to avoid compatibility issues.
- Documentation and Training: We maintain clear documentation and train our team members and yours to minimise human error.
A Reliable Approach
At Sync Stream, we prioritise reliability by combining proactive monitoring, robust error handling, and human oversight.
So yeah, we get it that when someone says they have tried automation and it was breaking all the time, but using a specialist like us addresses that, meaning you can still reap the huge benefits.