A global investment bank set out to modernize its legacy platforms, aiming to reduce time-to-market, improve operational efficiency, and free engineering teams from manual, low-value work. With rapidly evolving client expectations and growing regulatory complexity, the bank needed a future-ready, AI-led approach to development.
Building Speed and Scale into the Development Lifecycle
The institution was challenged by slow delivery timelines, high development costs, and an engineering workforce tied up with repetitive documentation and service mapping tasks. Legacy SOA platforms added further complexity and slowed innovation velocity.
The bank required a solution that could:
- Automate backend and frontend development
- Eliminate repetitive service discovery and documentation work
- Accelerate time-to-market without compromising quality
- Drive developer productivity through intelligent automation
Enabling Engineering with Agentic AI
To address these challenges, Ascendion deployed agentic AI, a suite of autonomous engineering agents designed to streamline platform modernization and amplify development outcomes.
These agents were tasked with:
- Automating UI/backend code generation
- Digitizing operations like invoice processing and document management
- Streamlining data migration and SOA modernization
- Mapping service dependencies and generating documentation in real-time
By embedding intelligence across the development pipeline, Ascendion helped the organization enable rapid iteration, reduced manual workload, and fostered innovation at scale.
Measurable Impact Across the Board
The deployment of agentic AI yielded significant results:
- 70% faster time-to-market, reducing delivery timelines from 18 to 12 months
- Up to 50% in cost savings, driven by automation and self-service tools
- 65% increase in engineering productivity, allowing teams to focus on high-value work
Freed from repetitive documentation tasks, developers were able to accelerate innovation and deliver business value faster. The initiative proved that intelligent agents could radically transform traditional software delivery models in financial services.