What AI tools did LB Finance use?

LB Finance used Snowflake, Snowflake Cortex AI in this implementation within the Financial Services sector.

What business function does this AI use case address?

This use case focuses on Business Intelligence, demonstrating how AI can drive impact in that area.

How LB Finance Used Snowflake Cortex AI to Reduce Dashboard Refresh from Hours to Minutes and Accelerate Loan Approvals

LB Finance Source: SNOWFLAKE ↗May 2026

LB Finance, the Sri Lanka financial services company managing over $1 billion in assets and serving more than 1 million customers, deployed Snowflake AI Data Cloud with Cortex AI to modernize its data and analytics infrastructure. The migration eliminated manual paperwork in reporting, reduced dashboard refresh times from hours to minutes, accelerated loan approvals through AI-driven processing, and nearly eliminated IT maintenance costs — enabling real-time data visibility across the organization.

Impact

Hours to minutes

Dashboard refresh time

Nearly eliminated

IT maintenance costs

Accelerated

Loan approval speed

Eliminated

Manual paperwork

Challenge

LB Finance's legacy data infrastructure caused multi-hour dashboard refresh delays, manual paperwork in reporting, slow loan approvals, and high IT maintenance costs — preventing real-time visibility into financial performance for decision-makers across the organization.

Solution

LB Finance deployed Snowflake AI Data Cloud with Cortex AI, automating data pipelines, enabling real-time financial dashboards, accelerating loan approvals through AI-driven processing, and eliminating manual reporting overhead — reducing dashboard refresh from hours to minutes and nearly eliminating IT maintenance costs.

Tools & Technologies

Snowflake Data Platform

Snowflake Cortex AI ML Platform

What Leaders Say

“Previously dashboards took hours to refresh. Now they take only minutes.”
LB Finance, LB Finance

Get the full context.

Full Story

LB Finance operates as one of Sri Lanka's leading financial services institutions, managing over $1 billion in assets and serving a customer base exceeding 1 million people across lending, savings, and related financial products. At that scale, the speed and reliability of data operations — from loan processing to financial reporting — directly affect both the customer experience and the organization's ability to operate efficiently.

Before deploying Snowflake, LB Finance's reporting and analytics infrastructure was characterized by slow dashboard refresh cycles, heavy manual intervention in data preparation, and significant IT overhead for maintenance. Dashboards that should reflect real-time financial positions were taking hours to refresh, leaving decision-makers working from stale data. Loan approval workflows required manual data steps that slowed processing and created operational bottlenecks.

LB Finance migrated to Snowflake AI Data Cloud and deployed Cortex AI for intelligent, natural-language query capabilities across financial data. The platform consolidated analytics across business units, replaced manual data preparation with automated pipelines, and integrated AI-powered processing into loan approval workflows. The result was a transformation in both the speed and quality of data-driven decision-making across the organization.

The outcomes were immediate and measurable. Dashboard refresh times dropped from hours to minutes, giving teams real-time visibility into financial performance. Loan approvals were accelerated through AI-driven data processing. Manual paperwork in reporting and data preparation was eliminated. IT maintenance costs were nearly eliminated as the team moved from managed on-premises infrastructure to Snowflake's cloud-native platform. As the organization described it: "Previously dashboards took hours to refresh. Now they take only minutes."

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