Tell your agent what you need in a message or voice note. It can work in Databricks for you, finding information, taking action, and keeping track of tasks.
DR
Dana Reyes
Works for me. Let’s lock that in.
You
Hey @Databricks agent, follow up on our discussion and make the updates.
Databricks agent
Done. It’s all in Databricks.
Automate Workflows with Databricks
Build workflows around how you actually work, then let your agent handle updates, follow-ups, and recurring work in Databricks.
Your agent, your control
Choose what your agent can access and how it can act in Databricks. Require approval before actions, keep access read-only, or allow approved work to run automatically.
What Can Zenzap’s Databricks AI Agent Do?
Find data assets
Search Databricks for supported workspaces, catalogs, tables, jobs, notebooks, models, or data assets.
Query and process data
Run supported queries, jobs, or data-processing work in Databricks.
Manage supported data workflows
Create or update supported jobs, notebooks, pipelines, or workspace resources in Databricks.
Flag failed data work
Check Databricks for failed jobs, stale data, errors, or workflows that need attention.
Summarize data operations
Bring supported data, job, and workspace activity from Databricks into the chat.
Run recurring data checks
Monitor supported data workflows and surface changes or failures.
Security & Compliance
Zenzap’s AI agents are SOC 2, GDPR, and ISO 27001 certified, with full HIPAA compliance and signed BAA for healthcare teams. Your data is never used to train AI models.
Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale.
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