Welcome to another edition of The Disruptor Podcast!
This is part two of our two-part series.
In this episode, Zengines CEO Caitlyn Truong returns to reveal how her team simplifies the high-stakes challenge of mainframe modernization.
She also discusses the challenges of mainframe modernization and how Zengines helps enterprises de-risk legacy systems with smart data lineage.
Key Topics Discussed:
Why legacy mainframes still dominate large enterprises
Common missteps that derail modernization efforts
How Zengines turns “black box” systems into readable data
Real case studies from banking and industrial sectors
Key strategies to reduce project risk and cost overruns
Key Insights / Quotes
“Enterprise data lineage is a beast—start small with a clear use case.”
“We help teams reverse-engineer the mainframe into business requirements.”
“Every test case break used to spawn three more questions. Now they get answers in minutes.”
“It’s not about replacing mainframes—it’s about de-risking what’s already working.”
Zengines' Disruptive Way:
Providing business analysts with AI tools for automating data mapping & changes.
Minimizes large teams, speeding up data conversion
Prioritizing tasks earlier in the process
Lowering costs and boosting productivity
To learn more about Caitlyn and Zengines, visit their website (Zengines.AI) and connect with Caitlyn on LinkedIn.
In Part 1 of our conversation, Caitlyn and I discuss how Zengines disrupt organizations by automating data conversion. Listen here: Disruption in Data: Why Digital Migrations Fail and How to Succeed.
Comments or Questions? Send us a text
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