Our client, a leading provider of wealth management solutions for business management firms, family offices, and high-net-worth individuals, needed to overcome the limitations of their decades-old legacy platform. Built over 40 years, the system was burdened with a multi-ledger, multi-bank setup that required extensive maintenance and slowed innovation.
The platform carried 600,000 lines of PL/1 code and 305,000 lines of legacy Windows framework code, processing over 900 million transactions annually. On top of that, the system supported more than 100 levels of complex approvals, payrolls, and unique scenarios, making modernization critical but highly complex. The client needed a clear assessment of the system, its data flows, and business processes to guide strategic modernization decisions.
To meet these challenges, Ascendion leveraged its proprietary AI-driven accelerators and deep modernization expertise to transform the client’s wealth management platform.
Reverse engineered nearly 700,000 lines of code in just 3 weeks using Ascendion’s AAVA platform powered by Agenti AI.
Created 4,200+ requirement use cases using the AAVA Digital Ascender accelerator, forming the basis of a 3-year modernization roadmap.
Designed a future-ready architecture featuring automation, improved UI/UX, AI-powered bots for transaction handling, and a microservices-based setup integrated with 8+ external banks.
Built 23 go-to-market capabilities with 60 business capability mappings to prepare the future system for expansion.
Assessed the legacy Oracle RDB with 135 entities, 36 triggers, 1,000+ COM files, and 7TB of data to capture accurate database modeling requirements
The strategic assessment didn’t just focus on modernization—it created a blueprint for transformation. By combining automation, AI, and modular design, the new platform was envisioned to scale securely while improving collaboration, transaction tracking, and payment processing.
Achieved 45%+ cost savings by leveraging the Ascendion AAVA accelerator for reverse engineering.
Established a 3-year roadmap projected to deliver 33% additional Gen AI-driven savings in cost and resources for rebuilding the Zenith platform.
Fast-tracked development timelines, enabling the release of the 40-year-old platform’s first modern version within just 18 months.
Delivered AI-driven transactional handling integrated with web channels for payments, knowledge management, and search.
Created a modularized, next-generation platform designed for business expansion with seamless collaboration, transaction visibility, and secure payment processing.
