Authored Checks¶
DO Creating metadata or metric checks or templates
DQ Creating integrity checks or templates
Creating checks or templates requires the module for the rule type, including applying a template to additional containers. Existing checks remain editable, and template updates to checks already created can continue. See Feature Availability for creation and existing-asset behavior.
Overview¶
An Authored check is a quality rule that your team defines and governs. It captures a business expectation, such as a contractual limit, a reference list of accepted values, or a relationship between two tables, that observed data patterns cannot establish on their own.
Every check in Qualytics is either Authored or AI Managed. The two kinds use the same rule types, run in the same Scans, and produce the same anomalies. What separates them is who decides the rule and whether automation can change it later.
Why this matters¶
AI Managed checks give broad starting coverage from what the data already does. They cannot know that a discount must never exceed 30%, that an order must reference an active customer, or that a field allows a small documented exception. Those decisions come from the people who know the business, and an Authored check is how they are recorded.
Because an Authored check holds a deliberate decision, Qualytics keeps automation away from it. The rule stays as your team wrote it until someone on the team changes it.
Where Authored checks come from¶
A check is Authored when a person or a tool acting for a person creates it:
- The check form. Pick a rule type and fill in its fields. Each rule type has its own Create a Check page with the full walkthrough, listed in Getting Started with Checks.
- A check template. Checks created from a check template are Authored and stay linked to the template they came from.
- The API. Checks created through the API are Authored. See the Checks API page.
- AgentQ. When AgentQ is configured, the Check Assistant panel in the check form, or a request to AgentQ, can propose a check from a plain-language description. The check it creates is Authored.
- An edit to an AI Managed check. Changing how an AI Managed check evaluates data (its rule properties, coverage, filter clause, or fields) converts it to Authored. See Edits that turn an AI Managed check into an Authored check.
Profile operations and Observability automation are the only sources of AI Managed checks. Nothing a user creates starts as AI Managed.
Who governs an Authored check¶
An Authored check is governed through the same team permissions and ownership as any other check:
- Team permissions. The Drafter team permission on the datastore can create and edit a check while it stays Draft. Creating an Active check, editing an Active check, or activating a Draft requires the Author team permission. Each rule type's Permissions page has the full matrix.
- Owner. A new Authored check is owned by the user who creates it, and anyone allowed to edit it can pick another owner. A converted AI Managed check that Qualytics owned moves to the user whose edit converted it. See Quality Check Ownership.
- Status. An Active check is evaluated by every Scan of its table or file. A Draft stays out of Scans until someone with the Author team permission activates it, which lets a Drafter propose a rule for review.
What automation leaves unchanged¶
Automation never changes or removes an Authored check:
- Profile operations do not change its rule, coverage, filter, fields, or status, and do not remove it, even when profiling no longer detects the pattern it describes. A later Profile run can still create a separate AI Managed check next to it. Archive that new check as Invalid to keep future Profile runs from creating it again.
- Observability automation does not adjust the limits of an Authored Volumetric check or the Maximum Age of an Authored Freshness check. Qualytics also does not create an AI Managed Freshness check on a container that already has a Freshness check of your own.
Changes to an Authored check come from your team: an edit in the check form, a Bulk Edit, an API call, or an update to the check template it is linked to.
Authored and AI Managed checks compared¶
| Authored | AI Managed | |
|---|---|---|
| Created by | A user, the API, AgentQ, or a check template | Profile operations, or Observability automation for Volumetric and Freshness |
| Rule decided by | Your team, from business requirements | Qualytics, from observed data behavior |
| Default owner | The user who creates it | The Qualytics user |
| Later Profile runs | Leave it unchanged | Can update it, or remove it when the data no longer supports it |
| Label in the app | Authored | AI Managed, with a purple AI badge |
| Becomes the other kind | Never. There is no action that turns an Authored check into an AI Managed one. | When you edit how it evaluates data |
Where Authored checks appear in the app¶
Authored and AI Managed checks share the same Checks list. The check form's title reads Authored Check Details for an Authored check, and the check's details show Authored as its type. To see only one kind, use the Check Type filter on the Checks list, as described in Filter and Sort Checks. The Insights page counts Authored checks separately from AI Managed ones.
See Also¶
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AI Managed Checks
What an AI Managed check is, which edits convert it to Authored, and how to go back.
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Check Ownership
Who is responsible for a check, the four ways ownership changes, notifications, and filtering by owner.
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Check Importance
How much a check's failures matter, and how its tags raise or lower it.
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Impact Metrics
Numbers measured over a check's failed records that show how big a failure is.
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Dry Run
What a Dry Run evaluates and how to read its results, anomalies, and source records.
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Check Views
The check lists, the check page, and the side panel: how to reach each one, what it shows, and what you can do there.
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Check Anomalies
The anomalies a check has produced, and how to triage them from the check's page.
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Check Timeline
The change log of a check, its past versions, and the comments your team leaves on it.
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Check Examples
Scenarios that show ownership and AI Managed checks in practice.
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Check Permissions
Which team permissions can view, create, edit, archive, and delete checks, change owners, and edit AI Managed checks.
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How a Check Works
What a check is made of, who creates it, how AI Managed checks are generated, how a Scan evaluates it, and how its status changes.