How to Support UiPath Robots Effectively: From Incident to Resolution

Automation isn’t just about building robots, it’s about keeping them healthy, reliable, and aligned with the business as it grows. In UiPath, supporting robots means having a structured process to investigate, resolve, and continuously improve when challenges arise.

As organizations adopt UiPath, robots quickly become vital members of the digital workforce. And like any employee, they sometimes need support.

A strong support process goes beyond simply fixing incidents it’s about diagnosing issues accurately, testing solutions thoroughly, and deploying updates safely. Here’s a closer look at what an effective UiPath support workflow entails.

Step 1: Log Into Orchestrator and Investigate

Orchestrator is the command center of your robots. When an incident occurs, the first step is to log in and review:

• Job status (successful, failed, pending)

• Execution logs for error messages, stack traces, or business exceptions

• Queues and assets to check whether credentials, configurations, or data inputs are missing

• Robot machine status (licensed, available, or disconnected)

Step 2: Understand the Type of Error

Once you’ve reviewed the logs, classify the error type:

• Application error: The target system was unavailable, changed its UI, or timed out.

• Business error: The robot encountered unexpected data that doesn’t match business rules.

• Configuration error: Orchestrator assets, credentials, or queues weren’t set up properly.

• Infrastructure error: Network, VM, or machine connectivity problems.

This classification ensures the right team (business, IT, or RPA developers) can jump in quickly.

Step 3: Reproduce and Test Locally

Before making changes, confirm the issue in a controlled environment.

• Unit testing: Isolate and test the workflow or activity where the error occurred. Example: validating login activities if authentication failed.

• Regression testing: Run end-to-end scenarios to confirm the fix doesn’t break other parts of the process.

Step 4: Deploy a New Version to Test

With a validated fix, the next step is to push the updated robot to a test Orchestrator environment:

• Publish the new package from UiPath Studio.

• Configure the process in Orchestrator.

• Run unattended test jobs, simulating real business conditions.

• Validate against both the original error scenario and standard inputs.

If it passes all tests, you know it’s ready for staging in production.

Step 5: Production Deployment

Once stakeholders approve, deploy the robot to production Orchestrator:

• Assign the process to the right robots and environments.

• Run initial jobs under close monitoring.

• Review logs and queue transactions carefully to confirm stability.

Step 6: Version Control with Git

When working with a team, version control is non-negotiable. With UiPath Studio’s Git integration, you should:

• Commit changes with clear descriptions (e.g., “Added error handling for login timeout”).

• Push updates to the shared repository so the whole team is aligned.

• Follow a branching strategy (development → test → main/master) for structured releases.

• Tag releases in Git to match Orchestrator deployments for traceability.

This way, if something goes wrong later, you always know exactly which version is in production.

Step 7: Continuous Improvement

Incident management shouldn’t end with a fix. Each issue is a chance to strengthen your automation:

• Update documentation and support runbooks.

• Improve exception handling in workflows.

• Add monitoring or alerts in Orchestrator.

• Share lessons learned across the RPA and business teams.

Over time, this reduces downtime and builds greater confidence in automation.

Final Thoughts

Supporting UiPath robots is more than just troubleshooting it’s about maintaining a reliable digital workforce that businesses can trust. The process is clear:

1. Investigate in Orchestrator

2. Classify the error

3. Test locally (unit + regression)

4. Deploy in test

5. Validate and release to production

6. Keep Git repositories updated

7. Learn and improve

Handled this way, support becomes a cycle of continuous resilience rather than reactive firefighting.