Case Study
Alvarez & Marsal is a global professional services firm that provides advisory, business performance improvement, and turnaround management services to companies, investors, and government entities. Founded in 1983, the firm has more than 12,000 employees across 94 offices in 43 countries.
320k+
lines of code
with 700 transactions,
500+ procedures, 3.000
SQL tables
50%
faster
discovery and
documentation
“CAST enabled rapid understanding of a critical legacy application and reduced risk associated with the modernization strategy.”
Senior IT Leader
CAST Imaging enabled Alvarez & Marsal to gain rapid transparency into a mission-critical internal application, accelerate discovery and documentation, and shape a confident modernization roadmap with AI-generated blueprints.
Challenge
A&M launched a modernization initiative for a long-standing, mission-critical internal application supporting global service delivery. Over years of legacy technologies, enhancements, and changing support teams, the platform became increasingly complex. Technical debt grew while documentation lagged, reducing visibility into architecture, data dependencies, and end-to-end process flows. A&M needed to stabilize the platform, improve governance and audit readiness, and create a sustainable foundation for future growth.
Solution
A&M engaged CAST to produce interactive application blueprints. Using CAST Imaging with AI-assisted narrative, the team automatically discovered architecture, data lineage, and end-to-end business transactions, then generated plain-language descriptions to speed understanding.
CAST insights surfaced dependencies, structural issues, and modernization hotspots, giving A&M an objective baseline to prioritize remediation and plan delivery across teams and vendors.
Results
CAST delivered a navigable blueprint and exported documentation for all identified business transactions, increasing transparency across application layers. Discovery and documentation were 50% faster, helping leadership gain data-driven insight into structural dependencies, complexity drivers, and risk areas.
With a shared evidence base, IT and business stakeholders aligned, prioritized remediation, estimated effort, and built a modernization roadmap with confidence and lower delivery risk.
