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A2go cuts AI delivery time in half with Databricks Apps

Databricks Apps — Using Databricks, A2go cut application delivery time by 50% while enabling the customer to reduce forecast cycles from 28 hours to under 1 hour and simulate pricing scenarios across 60,000+ SKUs in minutes. For one customer — a major Brazilian beef producer — A2go chose to implement its agentic AI and data orchestration on the Databricks Data + AI Platform and Databricks Apps to unify its set of disparate tools and complex deployment cycles.

Agent or tool
Databricks
Topic
Sales & Marketing
Reported on
Case study (Databricks)
Added
2026-11-11

Why it matters

Sales and marketing run on research, lists and follow-ups. Agents are starting to take on that groundwork, freeing people for the conversations that actually close deals. It is one of 613 sightings filed under Sales & Marketing on Agent Sightings (number 219 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 do the research and drafting for this sales or marketing workflow, and stop for my approval before anything is sent. 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/a2go/databricks-apps. Our summary is a paraphrase; details are in the source.

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