Governed queries
Read only the Unity Catalog objects you approve.
Channelized × Databricks
Put your lakehouse behind every agent decision.
Channelized queries approved Databricks tables and model endpoints to inform agent answers, and writes agent journeys back to the lakehouse for analysis.
What becomes possible
What Databricks can do with Channelized.
Ground agent decisions in governed lakehouse data and models.
Use your models
Call scoring or propensity endpoints before choosing the next step.
Analyze the channel
Land agent events in Delta tables next to the rest of your data.
How it connects
How Databricks connects.
Channelized sits between the agent and Databricks, translating intent into the right data request or action while applying your business rules.
ChatGPT 
Claude 
Gemini AI agent Where intent begins Channelized Context · rules · actions
Databricks Databricks System of record - 01 Question received
need · product propensity - 02 Scope checked
scope · approved Unity Catalog tables - 03 Model scored
model · propensity endpoint 0.81 - 04 Event recorded
write · agent_decision to Delta
Your business stays in control
Personalized to the individual. Governed by your rules.
- Approved tables only
- Read-only by default
- Row-level policies honored
- Complete audit trail
Build the journey
What pairs well with Databricks?
Not similar products: complementary connections that add the next useful layer to the same customer journey.
FAQ / Databricks questions
What teams ask about the Databricks integration.
Clear answers about how Channelized connects context, systems and customer action.
01 What does the Channelized Databricks integration do?
Channelized queries approved Databricks tables and model endpoints to inform agent answers, and writes agent journeys back to the lakehouse for analysis.
02 What becomes possible with Databricks?
Three things. Governed queries: read only the Unity Catalog objects you approve. Use your models: call scoring or propensity endpoints before choosing the next step. Analyze the channel: land agent events in Delta tables next to the rest of your data. Together they form one connected customer journey.
03 How does Channelized keep Databricks actions controlled?
Channelized scopes the Databricks connection to approved data and capabilities, validates requests against your policies, and keeps an auditable record of every interaction. Your existing permissions and business rules remain the source of control.
04 Where does Databricks fit in the customer journey?
A typical journey runs in four steps: question received, scope checked, model scored and event recorded. Channelized carries the customer’s intent and relevant context between those steps, so Databricks can add value without forcing the customer to start again.
Channelized × Databricks
Put Databricks in front of every agent.
Bring one customer journey. Our integration team will show you the connection working end to end.