How to Build an AI Compliance Agent with Agent Bricks @Databricks
How to Build an AI Compliance Agent with Agent Bricks  @Databricks
Uploaded March 2026 | Updated September 2026, 2 weeks ago
Stop the manual compliance scramble. See how AI can turn complex regulations into actionable data.

In the fast-moving world of financial services, staying compliant often feels like manual work. Compliance teams are forced to act as "human glue"—spending weeks manually mapping 50-page regulatory PDFs to internal spreadsheets and audit findings.

In this demo, we show you how to transform the Databricks Lakehouse into an Active Compliance Officer using Agent Bricks. Watch how a multi-agent system bridges the gap between unstructured regulatory text and structured risk data to turn months of work into a natural-language conversation.

In this video, you’ll see:

- The Multi-Agent Supervisor: How a Supervisor Agent orchestrates between a Knowledge Assistant (for documents) and a Genie Agent (for structured data).
- Knowledge Assistant and Genie: How Agent Bricks extracts insights from both structured and unstructured data simultaneously.
- Enterprise-Grade Governance: How all of this is built on a foundation of governed data within Unity Catalog.

Learn more about Agent Bricks:

- Genie: docs.databricks.com/aws/en/genie
- Knowledge Assistant: docs.databricks.com/aws/en/generative-ai/agent-bricks/knowledge-assistant
- Agent Bricks: docs.databricks.com/aws/en/generative-ai/agent-bricks

CHAPTERS:

00:00 – Challenges: The Compliance "Manual Tax"
00:42 – Real-world Scenario: New Regulation Hits
03:51 – Setup: The Multi-Agent Setup (Multi-Agent Supervisor, Knowledge Assistant & Genie)
05:14 – Data Foundation: Protocols & Regulations
06:24 – Architecture Overview
07:04 – Wrap-Up & Next Steps
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How to Build an AI Compliance Agent with Agent Bricks

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