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Auriga
Financial Services· Representative engagement

AI-enabled financial reporting and investigation platform

Financial district towers representing a regulated finance client

Client context

A financial organisation whose investigation and reporting teams work under regulatory scrutiny, handling large volumes of transactional data and supporting documents across multiple source systems.

Business challenge

Evidence lived in email, shared drives and legacy databases. Assembling a single investigation file meant days of manual collation; management reporting relied on spreadsheets rebuilt by hand each cycle. Version control and auditability suffered, and skilled investigators spent most of their time gathering rather than analysing.

Solution

A single investigation workspace consolidating financial data and documents, with case management, structured workflows and full audit trails. AI-assisted document review classifies, extracts and cross-references material for investigator confirmation — human-in-the-loop by design.

Reporting is generated from the same governed data, replacing the spreadsheet cycle with repeatable, reviewable outputs.

Technology approach

API-first web application over a consolidated data platform; staged integration with source systems; document AI services deployed inside the client's security perimeter; role-based access and immutable audit logging throughout.

Delivery method

Discovery and process mapping with investigation teams; a working prototype on real (permissioned) data within weeks; iterative build with fortnightly releases; parallel running before cut-over.

Business outcome

Faster reporting cyclesStronger controls and auditabilityConsolidated, trusted dataInvestigator time shifted to analysis

Outcomes stated qualitatively; verified performance figures are not published.

Facing a similar challenge in a regulated environment?

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