Financial services · Snowflake
Tipalti Streamlines $75B in Annual Payments with Democratized Access to AI-Powered Insights
Public case study · not a Metric Oak engagement
- More queries run simultaneously, allowing faster access to key financial insights
- 5x
- In payments managed yearly
- $75b
What happened
The story in brief
A payables automation company processing tens of billions of dollars in annual payments wanted more teams to explore financial data without waiting on analysts. Enabling natural-language data exploration on Snowflake let it run many more queries concurrently and get insights faster.
How it compares
- 5x more queries run simultaneously, allowing faster access to key financial insights, against a median speed-up of 5x across 8 financial services results.
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Frequently asked questions
What results did Tipalti report?
Tipalti reported 5x more queries run simultaneously, allowing faster access to key financial insights; $75b in payments managed yearly, according to its customer story published by Snowflake.
Which platform and technologies did Tipalti use?
Tipalti used Snowflake on AWS, including Snowpark, Cortex AI, Large language models.
How do these results compare with other financial services programs?
5x more queries run simultaneously, allowing faster access to key financial insights, against a median speed-up of 5x across 8 financial services results.
Source
Customer story published by Snowflake: Tipalti Streamlines $75B in Annual Payments with Democratized Access to AI-Powered Insights (opens snowflake.com in a new tab) on snowflake.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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