Another major use case for agentic AI is for data migrations. At Marlabs, our data and AI engineers have built Databricks-specific AI agent pods that work alongside our human experts to support Databricks migrations. These AI agents speed up Databricks implementation by 30%, drive down costs, and eliminate downtime.

Unlike a simple chat with a friend, agentic AI interactions involve complex, behind-the-scenes processes. It's not just a direct path from your question to the AI's answer.  

AI agents have “hidden hands” (known as prompt interception) that guide and filter their responses to ensure LLMs behave properly and answer appropriately and accurately.  

One of the largest hurdles to deploying AI is the infrastructure cost behind these hidden hands. To help clients overcome this challenge, we built our own proprietary solution, PromptRouter, to greatly reduce overhead for running generative AI solutions.  

PromptRouter automatically analyzes the request complexity and effectively answers questions while saving you money. It also provides a security framework to help make sure the AI is used responsibly within the corporate guidelines.