Deciphering 6M lines of 1970s code delayed modernization. Now, AI translates legacy logic into plain English for IT teams to validate.
A state government agency operating core IT systems designed in the late 1970s to serve over 26 million licensed drivers, manage 35 million registered vehicles, and process $8 billion in annual revenue.
Modernizing these critical systems required identifying and documenting business rules embedded across approximately six million lines of legacy...
“By automating the analysis of decades of mainframe logic, we were able to shift our focus from searching for rules to validating them. This clarity has been critical in planning modernization increments with greater confidence and less risk to day‑to‑day operations.”
State agency managing vehicle registration and driver licensing in California.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
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Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Zoning rules buried in thousands of PDF pages caused permit denials. An AI agent now interprets codes to guide applicants instantly.
Data silos forced reactive repairs across three counties. Now, AI predicts failures early, cutting unplanned downtime by 40%.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Manual refactoring of deprecated APIs slowed platform upgrades. Using an AI partner, developers automated the uplift, saving 160+ hours.
Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Deciphering 6M lines of 1970s code delayed modernization. Now, AI translates legacy logic into plain English for IT teams to validate.
A state government agency operating core IT systems designed in the late 1970s to serve over 26 million licensed drivers, manage 35 million registered vehicles, and process $8 billion in annual revenue.
Modernizing these critical systems required identifying and documenting business rules embedded across approximately six million lines of legacy...
“By automating the analysis of decades of mainframe logic, we were able to shift our focus from searching for rules to validating them. This clarity has been critical in planning modernization increments with greater confidence and less risk to day‑to‑day operations.”
State agency managing vehicle registration and driver licensing in California.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Related implementations across industries and use cases
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Zoning rules buried in thousands of PDF pages caused permit denials. An AI agent now interprets codes to guide applicants instantly.
Data silos forced reactive repairs across three counties. Now, AI predicts failures early, cutting unplanned downtime by 40%.
Undocumented 1990s systems made upgrades risky. AI reverse-engineered decades of legacy code to map architectures and build modern APIs.
Manual refactoring of deprecated APIs slowed platform upgrades. Using an AI partner, developers automated the uplift, saving 160+ hours.
Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.