Problem
Each month, the group's finance team spent nearly a week consolidating data from multiple systems, reconciling figures, and assembling regulatory and management reports by hand. The process was slow, error-prone, and impossible to scale as the business grew. Strict data-residency rules meant the data could not be processed by public cloud AI services.
Solution
AIOS built a private reporting and analytics layer on the group's own infrastructure:
- Document intelligence to extract and validate figures from source documents automatically.
- Automated reconciliation across systems with anomaly flagging.
- A natural-language analytics assistant for executives to query results directly.
- Templated generation of regulatory and management reports.
All processing happened on-premise, keeping sensitive financial data fully within the group's environment.
Results
The monthly reporting cycle shrank from five days to one, and manual data entry fell by around 90%. Executives could ask questions of the numbers in plain language and get immediate, explained answers. The group strengthened its compliance posture while keeping full data residency — no information ever left its infrastructure.