From Sales Dilemma to Data-Driven Action
Even the best commercial offers are only as effective as their delivery. At Databricks, we provide free credit offers to help customers get started or accelerate adoption, but sales representatives face a deceptively simple question: which of my customer accounts are eligible, and which should I reach out to first?
What seems like a straightforward task can be opaque and quickly turn into a time-consuming, multi-team effort, especially when accounts are unexpectedly ineligible for offers. Sales teams often need to dig through documentation, consult Slack threads, and manually investigate accounts with operations teams. This creates unnecessary back-and-forth, slows down momentum, and gets in the way of providing customers with high-value offers. Even when accounts are known to be eligible, itโs not always obvious which should be prioritized.
Building a Smarter System with Agent Bricks
To tackle the problem, our team turned to Agent Bricks โ Databricksโ platform for building high-quality AI agents on enterprise data โ and built a multi-agent system that delivers clear, actionable guidance directly to sales teams. In less than two days, I created a tool that lets sales reps:
- Quickly identify which customer accounts qualify for credit offers
- Understand the exact reason an account isnโt eligible
- Rank eligible accounts to focus on the highest-impact prospects first
Continue to read more here.
