sales_ops · saas · workflow
Databricks builds internal Field AI Assistant on Mosaic AI to transform seller experience with GenAI agents
Databricks sellers are overwhelmed by the volume of information spread across siloed applications and need unified access to account, opportunity, and use-case data in their CRM, customer market insights in the lakehouse, and sales content such as enablement playbooks, competitive collateral, and product knowledge base articles.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Seller query or seeded prompt
The field assistant responds to seeded prompts based on user and page context and provides a chat-like interface for open-ended queries.
Tools used
Databricks Mosaic AIAgent Bricks Custom AgentsAgent Bricks AI GatewayUnity Catalog
Outcome
The Field AI Assistant helps sellers retrieve information, distill insights, and automate repetitive manual tasks, with the stated goal of significantly transforming every aspect of the seller journey and improving sales velocity.
Grounding & classification
Source type: technical build writeup
22 fields verified against source quotes.
agentic workflowai agententerprise searchpersonalizationragknowledge basenamed customerproduction runtime claimedtools describedworkflow describedsoftwareemployee productivitytime savedtechnical build writeupsales opssales outreachagentic task executionrag answering