Project Description
— CASE STUDY
CASE STUDY
AI for Smarter Legacy Modernization
Armed Forces Mutual, a nonprofit financial services organization serving military members, veterans, and their families, used Midas to turn slow, expert-constrained system analysis into a scalable, AI-assisted workflow.
I am 100% convinced we would never have achieved in years what Midas accomplished in 9 months.
— Mitch Turner, CIO, Armed Forces Mutual
— CHALLENGE
Critical System Knowledge was Difficult to Scale
Years of business and technical knowledge were spread across source code, disconnected documentation, and a small group of subject-matter experts. Building an accurate understanding of the systems required slow, manual analysis, creating a bottleneck for modernization planning.
CHALLENGE
Critical System Knowledge was Difficult to Scale
Years of business and technical knowledge were spread across source code, disconnected documentation, and a small group of subject-matter experts. Building an accurate understanding of the systems required slow, manual analysis, creating a bottleneck for modernization planning.
— SOLUTION
Turned System Discovery Into a Repeatable Workflow
Midas turned available system information into a repeatable, AI-assisted discovery workflow. Subject-matter experts reviewed and validated findings, reducing repetitive analysis while preserving technical judgment.
SOLUTION
Turned System Discovery Into a Repeatable Workflow
Midas turned available system information into a repeatable, AI-assisted discovery workflow. Subject-matter experts reviewed and validated findings, reducing repetitive analysis while preserving technical judgment.
— RESULT
Scaled Analysis Without Sacrificing Expert Judgment
Armed Forces Mutual increased system-analysis throughput 9× while projecting a 72% reduction in labor and 338 hours saved over six months. The repeatable workflow also improved how the team built and validated system knowledge for modernization planning.
RESULT
Scaled Analysis Without Sacrificing Expert Judgment
Armed Forces Mutual increased system-analysis throughput 9× while projecting a 72% reduction in labor and 338 hours saved over six months. The repeatable workflow also improved how the team built and validated system knowledge for modernization planning.
— ABOUT MIDAS
Trusted AI Orchestration for Mission-Critical Operations
Midas combines deep system context with auditable AI workflows to help teams understand complex systems, govern technical decisions, and prepare for modernization.
ABOUT MIDAS
Trusted AI Orchestration for Mission-Critical Operations
Midas combines deep system context with auditable AI workflows to help teams understand complex systems, govern technical decisions, and prepare for modernization.
