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Building Enterprise-Ready Agents using Agent Bricks

Name: Building Enterprise-Ready Agents using Agent Bricks
Uploaded: 2026-05-22T16:36:44.000Z
Duration: 29 min 4 s
Channel: Databricks
Description: Databricks presents Agent Bricks, a platform for enterprise AI agents that integrates governance, observability, and multi-agent coordination to address challenges such as data privacy and agent sprawl.

Databricks16 June 2026Watch on YouTube

Part of series

Ep. 5 · 2026 Data Day

View the series

What you'll learn

Agent Bricks integrates governance through Unity Catalog and observability via MLflow to deploy enterprise AI agents securely and in a controlled manner.
Companies investing in AI governance and security can ship 12 times more projects into production.
Multi-agent supervisors and knowledge assistants enable advanced reasoning tasks based on both structured and unstructured enterprise data.

Frequently asked questions

What enterprise AI challenges does Agent Bricks address?

Agent Bricks tackles data privacy, governance, and agent sprawl. The platform integrates governance directly through Unity Catalog and adds observability via MLflow to prevent issues like silent degradation and hallucinated metrics.

How does Agent Bricks help companies get more AI projects into production?

Organizations investing in AI governance and security using Agent Bricks can ship up to 12 times more projects into production, scaling their AI impact significantly.

What are examples of capabilities in Agent Bricks?

Agent Bricks supports automated dashboard authoring, conversational analytics with Genie, and multi-agent coordination for complex reasoning tasks.

What is agent sprawl and how does Agent Bricks solve it?

Agent sprawl refers to uncontrolled proliferation of agents without clear oversight. Agent Bricks solves this through contextual reasoning and unified governance to prevent agents from generating unwanted results.

Topics

ai agents enterprise ai governance mlops multi-agent systems

Description from the channel

While AI agent development is rapidly evolving in the consumer space, enterprise AI faces unique hurdles such as data privacy, governance, and the "agent sprawl" challenge. This session introduces Agent Bricks, a unified platform designed to cure these challenges by integrating governance directly through Unity Catalog and observability via MLflow. The presentation details how to move beyond low-quality reasoning on isolated enterprise data to building sophisticated systems, including knowledge assistants for unstructured data and multi-agent supervisors for complex reasoning tasks. Key Takeaways: - State of Enterprise AI: 78% of companies now adopt a multi-model strategy to stay ahead of rapid model releases. - The Impact of Governance: Organizations investing in AI governance and security are shipping 12 times more projects into production. - Curing Agent Sprawl: Addressing "agent sprawl" through contextual reasoning and unified governance to prevent issues like silent degradation and hallucinated metrics. - Agent Bricks Capabilities: Leveraging Agent Bricks for automated dashboard authoring, conversational analytics with Genie, and multi-agent coordination.