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Forecasting Narrative Risk for Government and Enterprise

CUSTOMER STORY Forecasting Narrative Risk for Government and Enterprise 10M+ Social media messages processed daily for threat detection ~2 weeks To build the conversational AI agent from concept to prototype with Databricks ~1 month To scale, secure and embed the conversational AI agent into Logically’s production platform The explosion of digital information brings both opportunity and risk. These barriers were compounded by data volume and processing limitations: The platform needed to process more than 10 million social media messages per day, totaling several terabytes per ETL run.

Agent or tool
Gemini
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 385 by interest), and one of 20 involving Gemini.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Gemini 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 Gemini.

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

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