AI Employee Troubleshooting: Common Issues and How to Resolve Them

Deploying an AI employee is a significant step forward for any business, and like any technology, there are occasionally moments where things do not work exactly as expected. The good news is that the most common issues have straightforward solutions, and understanding them in advance means you can resolve them quickly and with minimal disruption.

This troubleshooting guide covers the issues that Struan.ai support teams encounter most frequently, along with clear steps to resolve each one.

Issue 1: The AI Employee Is Not Responding to Messages

If your AI employee appears to have stopped processing tasks or responding to inputs, the most common causes are:

• Integration disconnection: The connection between your communication platform (e.g., Slack, Microsoft Teams, or email) and the AI employee may have timed out or been revoked.
• API rate limits: If your business generates an unusually high volume of requests in a short period, temporary rate limiting may apply.
• Authentication expiry: Some integrations require periodic re-authentication, particularly those using OAuth tokens.

How to Resolve

1. Check your integration status in the Struan.ai dashboard under Settings > Integrations
2. Look for any warning icons or disconnection notices
3. Re-authenticate the affected integration by clicking Reconnect
4. If the issue persists, check whether your third-party platform has experienced an outage
5. Contact Struan.ai support if none of the above resolves the problem

Issue 2: Responses Are Inaccurate or Off-Topic

If your AI employee is generating responses that miss the mark, this typically indicates one of the following:

• The initial training data or business context provided was insufficient or has become outdated
• The task instructions are ambiguous, allowing the AI to interpret them in unintended ways
• Recent changes to your products, services, or processes have not been reflected in the AI's configuration

How to Resolve

1. Review the specific responses that were inaccurate and identify the pattern
2. Update your AI employee's knowledge base with current information via the dashboard
3. Refine task instructions to be more specific and include examples of desired outputs
4. Use the feedback mechanism to correct individual responses, which improves future accuracy
5. Schedule a review session with your Struan.ai account manager for persistent issues

Issue 3: The AI Employee Is Escalating Too Many Tasks

If your AI employee is flagging too many items for human review, it may be operating with overly conservative confidence thresholds. Whilst cautious behaviour is preferable to reckless autonomy, excessive escalation defeats the purpose of automation.

How to Resolve

1. Navigate to your AI employee's settings and review the current confidence thresholds
2. Gradually lower the threshold in small increments (e.g., from 90% to 85%)
3. Monitor performance after each adjustment to ensure quality is maintained
4. Review the types of tasks being escalated to identify whether additional training would help
5. Consider whether the escalation rules themselves need refinement rather than the thresholds

Issue 4: Integration Sync Delays

Sometimes data does not flow between your AI employee and connected systems as quickly as expected. Common causes include:

• Webhook delivery delays from the third-party platform
• Large data payloads that take longer to process
• Scheduled sync intervals that do not match your real-time expectations

How to Resolve

1. Check whether the delay is on the Struan.ai side or the third-party platform
2. Review your sync settings to confirm the frequency matches your needs
3. For time-sensitive workflows, request real-time webhook configuration from the support team
4. Clear any data processing queues by triggering a manual sync from the dashboard

Issue 5: The AI Employee's Tone Does Not Match Your Brand

If customer-facing communications from your AI employee feel too formal, too casual, or otherwise inconsistent with your brand, the tone configuration needs adjustment.

How to Resolve

1. Provide the AI employee with examples of ideal communications from your business
2. Update the brand voice settings in the configuration panel
3. Specify particular words or phrases to use or avoid
4. Test the updated tone with sample scenarios before deploying to live interactions
5. Iterate based on feedback from your team and customers

Issue 6: Duplicate Actions or Responses

Occasionally, an AI employee might send duplicate emails, create duplicate records, or perform the same action twice. This usually stems from:

• Retry logic triggered by temporary network timeouts
• Multiple triggers firing for the same event
• Overlapping workflow rules that both apply to the same input

How to Resolve

1. Check the audit log to identify when and why the duplication occurred
2. Review your workflow rules for overlapping conditions
3. Ensure that idempotency checks are enabled for critical actions
4. Adjust retry settings if network-related duplications are the cause
5. Report the issue to support if the duplication source is unclear

Issue 7: Performance Degradation Over Time

If your AI employee seems to be performing less effectively than when it was first deployed, this can happen when:

• Business processes have evolved but the AI's configuration has not been updated
• The volume of tasks has increased beyond the original specification
• New edge cases have emerged that were not covered in the initial training

How to Resolve

1. Schedule a performance review with your Struan.ai account manager
2. Update the AI employee's knowledge base and task definitions to reflect current processes
3. Review analytics to identify specific areas where performance has dropped
4. Consider expanding the AI employee's configuration to handle increased volume
5. Retrain on new edge cases identified through audit log analysis

Preventative Best Practices

The best way to handle issues is to prevent them from occurring in the first place. Here are our recommended best practices:

• Regular reviews: Schedule monthly check-ins with your Struan.ai account manager to review performance and address emerging issues.
• Keep knowledge current: Update your AI employee's knowledge base whenever your products, services, or processes change.
• Monitor analytics: Check the performance dashboard weekly to spot trends before they become problems.
• Use feedback consistently: Correct inaccurate outputs promptly so the AI learns and improves.
• Document your workflows: Well-documented processes make configuration and troubleshooting significantly easier.

When to Contact Support

Whilst many issues can be resolved through the dashboard, there are situations where contacting the Struan.ai support team is the best course of action:

• The issue persists after following the troubleshooting steps above
• You suspect a system-level problem rather than a configuration issue
• You need to make significant changes to your AI employee's scope or integrations
• You are experiencing data-related concerns that may have compliance implications

Get Help Now

If you are experiencing an issue not covered in this guide, or if you need hands-on support from our team, we are here to help.

Visit our contact page to reach the Struan.ai support team and get your AI employee back on track.