A major retail bank operating across Europe had built a back office that, on paper, kept the business running, but in practice, was quietly holding it back. Document processing, invoice classification, and data lookups were all still handled manually, and every one of those manual steps was a place where things could slow down or go wrong. Operational bottlenecks were dragging down service execution, and with each handoff between people and systems came an increased risk of human error, the kind of risk a bank, of all businesses, can’t afford to shrug off. Manual, labor-intensive processes were burdening the bank’s service teams and contributing to real delays in both customer service and internal workflows. Core operations like invoice handling and document routing required far more effort than they should have, making it difficult for the bank to scale or adapt quickly as demand shifted. The bank needed a scalable, AI-driven solution, one that could bring genuine efficiency, accuracy, and speed to the parts of the business that had been running on manual effort for too long.
The bank needed a solution that could automate document classification, routing, and indexing, streamline invoice intake and processing, enable real-time data search and retrieval, and reduce manual intervention across operational workflows, not as separate fixes, but as one connected transformation.
Ascendion deployed agentic AI, implementing a series of specialized AI agents to take on core operational tasks. An AI Invoice Processing Agent automatically classified, processed, and routed invoices to the correct departments, while an AI Document Classification & Routing Agent handled unstructured data and ensured documents reached the right systems without manual sorting. An AI Search, Lookup, and Report Generator Bot gave teams self-service access to reports and information, reducing reliance on IT support for tasks that used to require a ticket and a wait. Together, these agents streamlined internal workflows and enabled smarter, faster service execution, without compromising on compliance or accuracy along the way.
Tech Stack:
Reduced processing time and operational delays in document-heavy workflows, giving service teams room to move faster.
Improved data accuracy and standardization across systems, cutting down on the errors that manual handling used to introduce.
Enabled real-time access to information, improving responsiveness across both customer-facing and internal processes.
Freed up engineers and developers to focus on complex, high-touch activities, rather than routine document and invoice handling.
