Turning Payments Risk Into a Growth Enabler
Envisso uses the Databricks Data + AI Platform to power its AI-powered merchant risk monitoring and payments insurance platform, unifying merchant, transaction and dispute data with Unity Catalog and Lakeflow Jobs. The company reduced merchant onboarding from weeks to a single day and doubled its customer base without doubling its ~15-person engineering team.
Overview
Envisso uses the Databricks Data + AI Platform to power its AI-powered merchant risk monitoring and payments insurance platform, unifying merchant, transaction and dispute data with Unity Catalog and Lakeflow Jobs. The company reduced merchant onboarding from weeks to a single day and doubled its customer base without doubling its ~15-person engineering team.
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Inspect the highlighted sourceThe challenge
Envisso's legacy infrastructure was slowing the company down: siloed data, limited visibility into lineage and manual processes made it harder to deliver instant risk intelligence. Envisso needed a platform that could ingest and analyze vast amounts of merchant, transaction and dispute data while keeping governance and security intact.
The solution
Databricks helped Envisso unify data across their client roster using Unity Catalog, ensuring secure and centralized access control. With Lakeflow Jobs, they gained the ability to ingest and enrich merchant data from 30-plus payment providers and serve actionable insights into potential risks. ai_query() integration allowed teams to embed LLMs directly into production SQL workflows, and Delta Sharing and Delta Lake help Envisso share live data securely across partners, clouds and regions. They also built a custom Model Context Protocol (MCP) to securely connect AI agents directly to their data.
Reported business value
Reducing onboarding from weeks to a single day is helping merchants begin making sales faster. Envisso avoided doubling their engineering team, maintaining a lean ~15-person organization while supporting a growing global customer base.
Sources
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