Lakehouse AI Agents — Not Just an Enabler. A Doer.

Happy Tuesday!

Here is another video highlighting core capabilities of Viveka agents. This time, it acts as your companion to setup your Lakehouse on Databricks by connecting your existing S3 to your #UnityCatalog

When teams start using Databricks to set up their Lakehouse, or building out data lakes with Apache Iceberg or Delta Lake, the first step is almost always the same:

Get S3 connected and queryable from Databricks.

What sounds simple involves a series of critical setup steps:

• IAM roles and trust policies

• Storage credentials & External locations

• And making sure everything is secure, least-privilege, and production-grade

At Viveka, this entire workflow is handled end-to-end by autonomous agents, guided by human experts at every key step.

What’s Under the Hood?

1. Planner Agent: Converts high-level intent into a precise, multi-step execution plan.

2. Human-in-the-loop: Approves the plan before any code runs.

3. Orchestrator Agents: Execute the plan across AWS and Databricks.

4. Security Agent: Ensures everything is locked down with least privilege.

5. Fallback Logic: If agents are stuck, they pull in human experts, there are no silent failures.

Outcome: S3 connection in less than three minutes!

You get a secure, production-ready S3 <-> Databricks connection in less than three minutes, with:

• Automation that works

• Humans guiding the system

• Security built-in

Not just an enabler. A doer—with judgment.

#VivekaAI #ReasoningBasedAutomation #HumanInTheLoop #Databricks #Lakehouse #DeltaLake #ApacheIceberg #AWS #S3 #IAM #CloudSecurity #Automation

How You Can Engage

1. Follow me for updates

2. Reach out if you're wrestling with delivery bottlenecks—we would love to partner with you

Let’s move beyond automation. Let’s deliver outcomes—faster, safer, and smarter.