# AI Managed Checks

Source: https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/ai-managed-checks/

## Overview

An **AI Managed check** is a quality rule generated from observed data behavior. Most are created during a Profile operation. For example, Profile may find that a customer ID is consistently present or that a price remains positive, then generate and validate a matching check. AI Managed Volumetric and Freshness checks can instead use [Observability](https://userguide.qualytics.io/observability/deep-dive/getting-started/) measurement history. These observations create useful starting coverage, but they do not supply the business context that determines whether a rule is appropriate for every use case.

Future Profile runs maintain Profile-generated AI Managed checks as observed data changes. **AI Effort** controls the breadth of pattern analysis, while **Oversight** determines whether new checks become active automatically or remain drafts for review. If profiling no longer supports a rule, Qualytics may remove that Profile-generated check. Observability automation maintains Volumetric and Freshness checks as new measurements are recorded.

When you change a property that controls how an AI Managed check evaluates data, Qualytics converts it to an **Authored check**. From that point, your team owns the rule and future Profile runs leave it unchanged. This preserves the business decision behind your edit.

## Why this matters

Without the conversion, future profiling could replace a deliberate adjustment. For example, a data steward may lower coverage from 100% to 99.5% to account for a documented exception. Converting the check to Authored preserves that decision.

It also makes ownership visible. The **Authored** label tells teammates that a person has reviewed and changed how the rule evaluates data.

## Edits that turn an AI Managed check into an Authored check

The conversion happens automatically when you change any of the following on an AI Managed check:

- The **rule properties**: the values that define what the rule checks. Examples include the threshold on a Min Value check, the regular expression on a Matches Pattern check, or the list of accepted values on an Expected Values check.
- The **coverage**: the percentage of records the rule must satisfy.
- The **filter clause**: the SQL `WHERE` expression that limits the rows the check evaluates.
- The **fields** the check applies to: adding, removing, or replacing a field.

You don't need to confirm the change in a dialog: the conversion happens silently as soon as you save the edit.

## Edits that keep the check AI Managed

Some edits are organizational and don't change how the check evaluates data. They are saved without converting the check:

- The **description**.
- The **tags**.
- The **additional metadata** (key-value pairs).
- The **anomaly message field**.
- The **owner**.
- The **anomaly assignee**.
- The check **status** (for example, switching between Active and Draft).

This means you can document, categorize, and triage AI Managed checks without taking them out of automatic management.

## What changes after the conversion

Once an AI Managed check becomes Authored, three things happen:

1. The AI badge and the **AI Managed** label in the Check Summary disappear, and the check is shown as **Authored** (for example, in the Edit dialog title), so anyone looking at the check can tell at a glance that it is user-managed.
2. **Profile runs no longer touch the check.** Qualytics will not change its rule, coverage, filter, fields, or status during future Profile operations, and it will not delete the check even if profiling no longer detects the same pattern in your data. Because your edited check no longer matches the definition profiling suggests, a later Profile run can still create a new AI Managed check with the original definition beside it. Archive that new check as **Invalid** to keep future Profile runs from creating it again.
3. If the AI Managed check was originally owned by Qualytics, **ownership is transferred to you**, the user who edited it. The check then shows up in lists like "checks I own", and notifications about the check follow you instead of Qualytics.

## How to go back to an AI Managed check

There is no one-click "revert to AI Managed" action. For a Profile-generated check, delete the Authored version and run Profile again. Qualytics AI will recreate an AI Managed version if it still detects the same pattern. For Volumetric or Freshness, later Observability measurements can recreate an AI Managed check when the matching automation setting is enabled and enough history is available.

> **Tip: Use the conversion to your advantage**
>
> When you fine-tune an AI Managed check to match a business rule, the conversion to Authored keeps Profile from changing your edited check. One example is lowering coverage from 100% to 99.5% to allow a small, documented exception. If the next Profile run adds an AI Managed check with the original rule next to it, archive that one as **Invalid** so your decision holds.

## See Also

- **Check Ownership**

  Who is responsible for a check, the four ways ownership changes, notifications, and filtering by owner.

  [Check Ownership](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/ownership/)
- **Check Importance**

  How much a check's failures matter, and how its tags raise or lower it.

  [Check Importance](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/importance/)
- **Impact Metrics**

  Numbers measured over a check's failed records that show how big a failure is.

  [Impact Metrics](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/impact-metrics/)
- **Dry Run**

  What a Dry Run evaluates and how to read its results, anomalies, and source records.

  [Dry Run](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/dry-run/)
- **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.

  [Check Views](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/check-details/check-views/)
- **Check Anomalies**

  The anomalies a check has produced, and how to triage them from the check's page.

  [Check Anomalies](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/check-details/anomalies/)
- **Check Timeline**

  The change log of a check, its past versions, and the comments your team leaves on it.

  [Check Timeline](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/check-details/timeline/)
- **Check Examples**

  Scenarios that show ownership and AI Managed checks in practice.

  [Check Examples](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/examples/)
- **Check Permissions**

  Which team permissions can view, create, edit, archive, and delete checks, change owners, and edit AI Managed checks.

  [Check Permissions](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/permissions/)
- **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.

  [How a Check Works](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/how-it-works/)
- **Authored Checks**

  What an Authored check is, who governs it, and how it differs from an AI Managed check.

  [Authored Checks](https://userguide.qualytics.io/data-quality-checks/checks/deep-dive/authored-checks/)

*Last updated: November 10, 2026.*