For over two decades, e-Discovery tools have been essential, but when handling financial data complexities, reliance on tools like MS Excel or custom SQL databases is limiting, especially with larger datasets and complex scenarios involving multiple ERP systems, hundreds of data tables, and millions of transactions.
Meet konaAI, the e-Discovery review platform for structured data. From automated extraction to technology-assisted review (TAR), konaAI streamlines the procure-to-pay or order-to-cash business process, providing a robust solution for investigations and litigations that quickly finds hidden money or rogue behaviors.
konaAI efficiently handles diverse datasets, navigating challenges from multiple ERP systems, various data tables, and millions of transactions.
Move beyond traditional SQL databases with konaAI’s affordable alternative, aligning with contemporary e-Discovery demands and future-proofing your approach.
Traditional e-Discovery platforms excel at handling unstructured data such as emails, contracts, and documents. konaAI on the other hand, evaluates and analysis structured data such as financial transactions, ERP records, and ledger data that are central to litigation and investigations involving fraud, corruption, or financial misconduct.
konaAI efficiently handles diverse financial datasets, navigating challenges from multiple ERP systems, various data tables, and millions of transactions. A core design consideration for konaAI is handling the reality that large organizations frequently operate multiple, heterogeneous ERP environments.
The platform ingests, normalizes, and processes data from SAP, Oracle, and other enterprise systems via file extract, API, or direct integration and applies automated detection tests across all records simultaneously. It allows investigations or audits to cover the full scope of a client’s financial activity without requiring a custom integration project for each engagement.
As litigation and investigation complexity grows involving multiple ERP systems, hundreds of data tables, and millions of transactions, the limitations of spreadsheet-based and bespoke SQL workflows become apparent. These approaches are slow to scale, difficult to document for defensibility, prone to version control errors, and require significant manual effort for each new matter.
konaAI provides a secure, centralized platform with full access controls and role-based permissions. Retained counsel, forensic consultants, and authorized client personnel can all log in to review transactions and case materials centrally, eliminating the security and version-control risks associated with exchanging sensitive XLS files over email. The integrated case management workflow maintains a full audit trail throughout.
konaAI maintains a complete, auditable record of all analytical steps from data ingestion through detection test results and reviewer decisions. This documentation chain supports the presentation of findings to regulators, enforcement agencies, or courts by demonstrating a systematic, repeatable methodology rather than ad hoc analysis. The case management workflow tracks all investigative activity and preserves the full audit trail for regulatory submissions.
konaAI’s background includes supporting companies responding to regulatory matters such as FCPA investigations, sanctions reviews, and other white-collar crime and financial matters. The platform’s documentation capabilities and defensible analytical methodology make it appropriate for matters involving the DOJ, SEC, and other domestic and international enforcement bodies.
konaAI’s automated tagging and risk-scoring engine prioritizes the exceptions most likely to represent genuine issues, so attorneys and investigators review a ranked, pre-analyzed set of findings rather than raw transaction data. Machine learning models continuously reduce false positives over time, further concentrating reviewer attention on the records that matter most for the matter at hand.