AI agents for Snowflake
Your product usage and business metrics live in Snowflake. Cogito AI's connector brings them into one Enterprise Data Model with your CRM, contracts and service history, so agents can explain what the numbers mean for each account.
Connector
Snowflake
- Connects as
- Data warehouse
- Packaged agents
- 4 across 3 teams
What Cogito AI does with your Snowflake data
- 01
Metrics with the story behind them
Usage trends from the warehouse sit beside each customer's contract and support history, so Customer 360 and expansion agents can say why a number moved, not only that it did.
- 02
Answers that show their sources
Every answer cites the Snowflake records and documents it used, so anyone can check the source behind a recommendation.
- 03
Within your permissions
Agents only surface what each user is entitled to see in Snowflake, and every agent action is logged for audit.
- 04
Kept current
Incremental sync keeps the Enterprise Data Model up to date as Snowflake changes, so agents work from current information.
Agents that work from Snowflake
Packaged agents that draw on your data warehouse, grouped by team. Each one links to its team's solution.
Sales: Revenue Intelligence
- Customer 360 DashboardSee customer relationship health in one dashboard. Build your own dashboards, share them with your team and use them to run your sales process.More about this agent
- Upsell/Cross-sell MaximizerFind upsell and cross-sell opportunities your team may have missed, and turn them into new pipeline.More about this agent
Operations: Operational Intelligence
Marketing: Marketing Intelligence
Ask questions like these
Agents answer across Snowflake and your other connected systems, and show the sources.
- Which top accounts have seen usage drop this quarter?
- Where are the biggest cross-sell opportunities?
- Which market segments are growing fastest this year?
How it works
- 1
Connect Snowflake
Set up the connector with the setup wizard, and follow each sync in job monitoring.
- 2
Build your Enterprise Data Model
Key terms are extracted as Snowflake data comes in and mapped with your other connected systems.
- 3
Deploy agents
Start with the packaged agents below, or build custom agents for your own workflows.
- 4
Check every answer
Citations show where each answer came from, and the audit trail records every agent action.
Put your Snowflake data to work
Questions about connecting Snowflake or your other systems? Send us a note and we'll get back to you by email.