diff --git a/.typos.toml b/.typos.toml
index 99ace14d05..f48ffc592a 100644
--- a/.typos.toml
+++ b/.typos.toml
@@ -6,6 +6,7 @@ MyApp = "MyApp"
 OpenAPIv3 = "OpenAPIv3"
 AKS = "AKS"
 IST = "IST"
+BCBS = "BCBS"
 CREATEIN = "CREATEIN"
 ALTERIN = "ALTERIN"
 
diff --git a/docs/settings/integrations/ai-and-agents/deep-dive/agent-q-in-action.md b/docs/settings/integrations/ai-and-agents/deep-dive/agent-q-in-action.md
index 95528b56a8..a1a1182339 100644
--- a/docs/settings/integrations/ai-and-agents/deep-dive/agent-q-in-action.md
+++ b/docs/settings/integrations/ai-and-agents/deep-dive/agent-q-in-action.md
@@ -25,7 +25,7 @@ To generate a token, navigate to **Settings** > **Tokens** and click **Generate
 
 ## Capabilities
 
-This video demonstrates the power of one-shot prompting using the Qualytics MCP server:
+This video demonstrates the power of one-shot prompting using the Qualytics MCP server — a single natural-language prompt instructs the model to join data across two different datastores (Databricks and BigQuery), aggregate customer spending on a monthly basis, and author a quality check on the result, all without specifying technical details like join keys, rule types, or field mappings.
 
 <div style="position: relative; padding-bottom: 56.25%; height: 0;"><iframe src="https://www.loom.com/embed/4b204d88eef6467aa3548fb1d9847710" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe></div>
 
@@ -56,6 +56,12 @@ Create and manage data quality checks through natural conversation:
 
 The AI translates your intent into the appropriate rule type and parameters automatically.
 
+#### Automating Controls from Regulatory Documents
+
+Agent Q can parse regulatory publications such as [BCBS 239](https://www.bis.org/publ/bcbs239.htm){:target="_blank"} (Principles for effective risk data aggregation and risk reporting), analyze their applicability to a specific datastore, and automatically create tagged quality checks — preserving full traceability back to the original requirement.
+
+<div style="position: relative; padding-bottom: 55.104166666666664%; height: 0;"><iframe src="https://www.loom.com/embed/03b2ed2b26cb4a338bbff09bde53f5a0" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe></div>
+
 ### Anomaly Investigation
 
 Investigate quality issues conversationally: