AI-Accelerated Database Migration for Core Financial SystemsAI-Accelerated Database Migration for Core Financial Systems
~2×
increase in SQL migration throughput
2–3x
faster conversion of individual stored procedures, depending on complexity
~28%
reduction in overall project duration
Senior SMEs shifted from manual conversion to higher-value review and decision-making
Faster, lower-risk modernization of a core financial platform
Business Objective
Our client, a global financial services provider, was modernizing its core platform and needed to migrate more than 1,200 complex stored procedures, views, and functions under strict timelines and budget constraints. Quality, reliability, and compliance could not be compromised.
Manual migration approaches risked delays, cost overruns, and over-reliance on scarce senior database experts, creating significant delivery and operational risk.
Description
The Transformation
Exadel implemented an AI-accelerated SQL migration approach combining generative AI with deep database and domain expertise.
AI was used to perform initial conversion of stored procedures, while senior database engineers focused on validation, optimization, and resolving edge cases. Every migrated artifact went through human review to ensure correctness, performance, and production readiness.
This hybrid, human-in-the-loop approach allowed Exadel to scale migration throughput without compromising quality in a mission-critical financial environment.
Case Studies
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Real Results
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