Improving customer support for the road ahead
With Databricks and Agent Bricks, Lippert consolidated their data into a single lakehouse and began deploying intelligent agents that help customer service teams resolve issues faster, coach agents more effectively and automate insights across the enterprise. Lippert cuts agent onboarding time by 85% with AI-powered customer support.
- Agent or tool
- Databricks
- Topic
- Customer Support
- Reported on
- Case study (Databricks)
- Added
- 2026-11-11
Why it matters
Support is repetitive and time-sensitive. Agents can draft answers, look things up and handle simple requests, so people can focus on the tricky ones. It is one of 554 sightings filed under Customer Support on Agent Sightings (number 228 by interest), and one of 37 involving Databricks.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Databricks or any similar agent and adjust the details to your situation.
I want an agent to handle routine customer questions end to end, and pass anything unclear to a person. The tool in the source case was Databricks.
Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
Source
Read the original first-hand account on Case study (Databricks): https://databricks.com/customers/lippert. Our summary is a paraphrase; details are in the source.
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