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Megacable powers real-time AI with Lakebase Postgres and Genie

Learn how Megacable uses Lakebase and Genie to give AI agents customer context in milliseconds instead of minutes for under $1,000 a month. To ease the workload on its call center, Megacable’s independent AI department built AI voice agents for support, sales and collections calls. However, business teams previously waited weeks for IT tickets to resolve data issues, while legacy APIs took 1 to 2 minutes to provide customer context to live AI agents.

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 353 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.

Saved

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/megacable. Our summary is a paraphrase; details are in the source.

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