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Automations

The Automations dashboard gives you a live view of every integration running in your Adeptia environment, so you can quickly confirm that data is flowing, spot problems before they affect your business, and investigate failures in detail.

Where: Dashboard Tab

The automation overview dashboard summarises execution counts, trends, and success/failure rates across your integrations.
The automation overview dashboard summarises execution counts, trends, and success/failure rates across your integrations.

What you can see​

The dashboard brings together several views of your automation activity:

ViewWhat it shows
Execution summaryTotal counts of completed, pending, and failed runs for a selected time period
TrendsHow execution volumes and outcomes have changed day by day
Completed runsIntegrations that finished successfully
Pending runsIntegrations that are still in progress
Transaction typesA breakdown of activity by the kind of integration
Process flowsActivity across your active workflows

You can scope the execution overview to a specific date range and adjust the time zone to match your local context.

Tracking trigger and event activity​

Alongside execution metrics, a dedicated trigger dashboard shows you what is firing and when. It covers:

SectionWhat it shows
Daily trigger countsHow many times triggers fired each day over your chosen date range
Recently triggered processesWhich integrations were started by a trigger
Active triggersTriggers that are currently enabled
Process errorsFailed integrations with their error messages
Trigger errorsTriggers that failed to fire, with error details

This view is useful when you want to understand whether an integration failed to run at all (a trigger problem) versus ran but produced an error (an execution problem).

Browsing execution history​

You can browse the full history of individual runs and filter by:

  • Status: successful, failed, or currently running
  • Integration or workflow name
  • Partner or trading partner name
  • Date range

Results are paginated so you can work through large volumes of history. You can also group failed runs by error message, integration name, or partner name to identify patterns, such as a single recurring error affecting many runs.

Investigating a specific run​

Selecting an individual run opens a detailed view that breaks down what happened at each step, from the source system through any transformation logic to the destination. For each step you can see timing, data volumes, and, when something went wrong, the specific error message.

For deeper investigation, you can also pull up a full activity-by-activity audit trail showing exactly what each part of the pipeline did, and review any context variables that were in play during the run.

The execution detail view breaks a run into individual steps and surfaces error messages at the point of failure.
The execution detail view breaks a run into individual steps and surfaces error messages at the point of failure.

Reviewing configured automations​

Beyond individual runs, you can browse the full list of configured automations (called transactions) in your environment. Each transaction represents a complete integration setup, linking a process flow to a partner, a trigger, and its settings. You can filter this list by status, type, partner, or a free-text search across names and descriptions.

Selecting a transaction shows you its full configuration: the source and destination applications, the partner it serves, the trigger that starts it, and the pipeline steps it runs through. This is useful for understanding how an integration is set up before you investigate why a run failed.

The automations list lets you filter by status, type, and partner to find the automation you need.
The automations list lets you filter by status, type, and partner to find the automation you need.

Why this matters​

Having execution history, trigger activity, and configuration details in one place means you can move quickly from "something is wrong" to "here is exactly what failed and why," without switching between separate tools or waiting for a support escalation.