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Give your AI approved Azure Synapse queries, not raw tables
For developers and BI teams who want AI answers built on the same joins and business rules as their reports.
On this page
Connector
Connect Azure Synapse, pick your AI tool and paste the prompt.
The problem
Raw tables invite answers built on the wrong logic
Warehouse tables are often too wide or too raw for an AI to use well, and the joins, exclusions and date rules that produce the right answer live in queries only the BI team knows. Exposing raw tables invites answers built on the wrong logic.
Without PopdockAI
- Expose wide raw tables to the AI
- Hope it rebuilds the right joins
- Miss the exclusions and date rules
- Get numbers that do not match reports
With PopdockAI
- The query is built once in the query builder
- It is exposed as a tool with chosen parameters
- Each parameter is validated before the query runs
- Client instructions tell the AI what the results mean
Who it's for
One answer, three teams that use it
BI developers
Reuse your trusted query logic
Publish the query you already trust, so AI answers use the same joins and rules.
What was gross margin for the Fabrikam product line in Q3 using our standard margin query?
Data engineers
Control what the AI can vary
Only the parameters you choose can change, and each is validated first.
Run the approved revenue query for the West region for October.
Finance analysts
Get numbers that match the books
Answers built on the approved logic match what finance already reports.
What was net revenue for Northwind Traders customers in August, using the standard rules?
How it works
What PopdockAI does when you ask
You build the approved query once and publish it as a tool. The AI calls it with the parameters you allow and uses your business logic every time.
01
Build
You build the query once in the query builder against Azure Synapse.
02
Expose
You publish it as a tool with chosen, validated parameters.
03
Guide
Client instructions tell the AI what the results mean.
04
Answer
The AI calls it with a date range or region and uses your logic.
The outcome
AI answers that match your reports
Related use cases
More ways to put this data to work
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Pull Azure Synapse figures into an Excel file from your AI chat
Ask your AI for the rows you need, such as a period or cost center, and it reads the approved Azure Synapse tables and returns a real Excel file, or CSV when needed.
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