Financial ServicesPredictive AnalyticsPublic Cloud

Turning Payments Risk Into a Growth Enabler

EnvissoDatabricks · Unity Catalog · Lakeflow +4

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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The 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.

Predictive AnalyticsAgentic AIGenerative AI

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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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

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