Electric Mind: AI-native software delivery for financial services

AI is impacting our clients and the way we serve them in profound ways.As an example, we are tackling legacy technology modernization programs faster, cheaper and with less people than ever before. In many cases, these modernization programs are only feasible with AI-native methods. For our clients, this means a whole new horizon of initiatives that were formerly impossible.

Chris Ford, CEO and ManagingPartner, Electric Mind

Modernizing legacy systems with AI-first methods

Electric Mind deploys AI as a core capability in software delivery, enabling financial institutions to tackle technology transformations that would be impractical using traditional approaches. The company's AI-native methodology focuses on three areas:

• Rapid codebase assessment: AI tools reverse-engineer legacy systems to baseline requirements and architecture artifacts like integration diagrams, UI hierarchies, and application flows in days rather than weeks of manual code review.
• Accelerated modernization roadmaps:By combining AI-assisted discovery with stakeholder collaboration, Electric Mind validates priorities and defines phased, low-risk transition paths for complex systems.
• AI-powered software delivery: The company's AI SDLC model allows teams to deliver modernization programs faster and with fewer resources than conventional methods, making previously unfeasible initiatives possible.

A recent engagement with a large North American bank demonstrates this approach in action. The bank's mobile application had become increasingly complex and difficult to evolve, with limited documentation making it challenging to assess modernization options. Electric Mind's AI-first assessment rapidly evaluated the codebase, delivering a clear view of the mobile ecosystem and a practical roadmap to transition to React Native, condensing weeks of manual discovery into a substantially shorter period.

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