Mexico's largest financial institution faced a critical decision: spend 5+ years and millions on a manual rewrite, or trust autonomous AI agents to handle the transformation. They chose the agents.
The bank's core systems were built on a fragmented stack that made even small changes expensive, slow, and risky. The competitive landscape was shifting fast.
Core banking systems built on Angular 1.x frontend and COBOL backend running on aging mainframe infrastructure. The codebase had grown organically over 12+ years with no comprehensive refactoring.
New regulatory requirements from Banxico (Mexico's central bank) required real-time transaction reporting and enhanced audit capabilities — features impossible to implement cleanly on the existing stack.
FintECH competitors were launching new services in weeks. The bank's 6–12 month release cycle for simple features put it at a structural disadvantage. Developer time was consumed by maintenance, not innovation.
Coderbotics AI deployed a coordinated swarm of specialized agents across the entire codebase, working in parallel with deterministic execution and a complete compliance audit trail.
The migration delivered results across every dimension — speed, cost, quality, and competitive position.
| Dimension | Traditional Consultancy | In-House DIY | Coderbotics AI |
|---|---|---|---|
| Timeline | 3–5 years | 5–7 years | Months |
| Cost | $8–15M+ | $5–10M (dev time) | 30–40% less |
| Technical Debt | High (consultant shortcuts) | Medium | Zero on new code |
| Audit Trail | Manual, incomplete | Ad hoc | Automated, complete |
| Productivity Multiplier | 1× | 1× | 8–10× |
600,000 lines, 8–10x productivity, 30–40% cost savings — not hypothetical numbers. Real results, real migration. Request a free assessment and see what it looks like for your codebase.