> ## Documentation Index
> Fetch the complete documentation index at: https://aletyx.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Management – Execute Rules

> Run published decision models with inputs and inspect their outputs.

Run published decision models with inputs and inspect their outputs. All guides require Management access.

<img src="https://mintcdn.com/aletyx-3353d50c/-SprOR0k3X7EKq06/images/decision-control/how-to/execute-rules.png?fit=max&auto=format&n=-SprOR0k3X7EKq06&q=85&s=b537a360b3e9315828c591847a17b667" alt="Execute Rules screen" width="1903" height="923" data-path="images/decision-control/how-to/execute-rules.png" />

Search for a model, fill the **InputForm** (or **Json**) tab, click **Execute**, and read the **Results** tab.

## How to find and open a model to execute

Locate a deployed model and load its input form.

<Warning>
  **Only ENABLED models can be executed**

  Disabled models appear in the list but can't be expanded. Enable the model (and its parent unit/version) on the [Versions & Models page](/docs/decision-control/how-to/management-models#versions-models) first.
</Warning>

**Steps:**

1. Open **Management → Execute Rules**.
2. Type in **Search models by name or unit…**.
3. Click the model to expand it (or **Open Model**). Use **Refresh all models** if it's missing.

**Verify:** The model expands and its input form/schema loads.

## How to execute a decision model

Run a model with inputs and view its outputs.

**Prerequisites:** A model opened in Execute Rules.

Provide the inputs in whichever form you prefer:

<Tabs>
  <Tab title="Guided form">
    1. On the **InputForm** tab, fill in the generated fields.
    2. Click **Execute**.
  </Tab>

  <Tab title="Raw JSON">
    1. On the **Json** tab, paste or edit the input payload.
    2. Click **Execute**.
  </Tab>
</Tabs>

Then open the **Results** tab to view the output (toggle **Summary**/**JSON**, copy as needed).

**Verify:** The Results tab shows the evaluated output.

## How to execute a model with AI explanation

Run a model and generate a business/technical narration of the result — useful for stakeholders who need the *why*, not just the value.

**Prerequisites:** AI flags enabled (the button is hidden otherwise).

**Steps:**

1. Enter inputs as above.
2. Click **Execute with AI** (also labeled **Execute & Explain**).
3. Open the narration panel for **Business** / **Technical** explanations.

   <img src="https://mintcdn.com/aletyx-3353d50c/-SprOR0k3X7EKq06/images/decision-control/how-to/execute-with-ai.png?fit=max&auto=format&n=-SprOR0k3X7EKq06&q=85&s=eab97d7cec848ef945dfff0bafdc565c" alt="AI narration panel after executing" width="1898" height="923" data-path="images/decision-control/how-to/execute-with-ai.png" />

**Verify:** Results appear plus AI narration.

## How to review execution history in Execute Rules

Revisit prior runs for the open model.

**Prerequisites:** Previous executions in this session.

**Steps:**

1. Open the **History** tab.
2. Filter by **All** / **Success** / **Error** / **Explained** (runs done with **Execute with AI** that produced an AI narration), and click **View details** to replay one.
3. (Optional) Click **Clear History** to remove all entries.

<Info>
  **Scope of the history**

  This history is **session-local** (kept in your browser) — it's perfect for replaying scenarios while you work, but it doesn't survive a reload or move with you across browsers. For persistent execution records, see [Monitoring → Executions](/docs/decision-control/how-to/monitoring#executions).
</Info>

**Verify:** The chosen run's inputs/results load; clearing empties the list.