What Is a Self-Healing Automation?

A self-healing automation is a workflow that detects when something has gone wrong, identifies what changed, and corrects itself without human intervention. Instead of stopping and waiting for an engineer to fix it, the automation adapts and keeps running.

Why automations break in the first place

Most automation tools work by recording a sequence of steps and replaying them exactly. Click this button. Read this field. Enter this value. Move to the next screen.

That works fine — until something changes.

The button moves two pixels to the left. The field gets renamed in a software update. A loading screen appears that wasn't there before. The automation looks for what it remembers seeing, can't find it, and fails.

In traditional RPA, that failure is silent or loud — either the workflow stops with no alert, or someone gets paged at 2am. Either way, a human has to open the automation, figure out what broke, fix it, and redeploy it.

This is the most common reason teams give up on automation: not because it doesn't work, but because maintaining it is a full-time job.

Self-healing automation is built to solve exactly that.

How self-healing automation works

When a self-healing automation runs and encounters something unexpected, it logs the failure in detail, captures video replay of what happened, and identifies what changed vs what it expected to see. Based on the output of this assessment, the automation recalibrates to adapt to the new version of the interface and find what it needs to continue running.

The result is a workflow that gets more reliable over time by understanding that legacy UIs change, and not requiring a human to intervene every time they do.

What Minicor's self-healing engine does

When a Minicor automation encounters a UI change during a run, the adaptive engine:

• Captures the failure — full video replay and structured error log, so you know exactly what happened and where
• Identifies what changed — compares the current UI state to what it expected, and pinpoints the delta
• Recalibrates the automation — updates the workflow to account for the change so it can continue
• Resumes the run — picks up where it left off and completes the workflow
• Notifies you — you get a log of what happened

In most cases, the workflow completes without any manual fix. In cases where the change is significant enough that Minicor needs input, you get a clear explanation of what happened and what it needs.

Self-healing vs. traditional RPA

Traditional RPA tools like UiPath, Automation Anywhere, and Power Automate Desktop are built to execute a fixed sequence of steps. They are good at executing that sequence when nothing changes. They are not built to handle change gracefully.

When a UI changes in traditional RPA:

• The bot fails silently or throws an error
• Someone on your team gets an alert
• An RPA developer has to investigate, identify the breaking change, update the automation, test it, and redeploy it
• This can take hours or days depending on complexity and team availability

When a UI changes in Minicor:

• The adaptive engine detects the change mid-run
• It recalibrates and resumes
• You get a log — not a crisis

Why this matters for legacy software

Legacy desktop software updates constantly, in ways that are often not announced or documented.

For teams automating these systems, that means a constant trickle of broken workflows. Without self-healing, every update is a support ticket. With self-healing, most updates are invisible.

In our experience, teams running automations on legacy software like CDK, Reynolds & Reynolds, and EHR platforms see meaningful UI changes every few weeks. Without self-healing, those changes become outages. With Minicor, they become log entries.

What self-healing automation is not

Self-healing does not mean the automation can do anything. It means it can handle the most common class of failures (UI changes) without human intervention.

There are failure modes self-healing can't fix on its own:

• The underlying data structure changed (not just the UI)
• The business logic of the workflow changed (a new step was added to the process)
• The application itself was replaced or decommissioned

For these, Minicor logs the failure clearly and tells you what it needs. You update the workflow description. Minicor redeploys it. This is still dramatically faster than traditional RPA maintenance — but it does require human input for significant process changes.