Government organizations, like corporations, must maintain effective internal controls over third-party spend data. Manual review processes and periodic sampling are insufficient at the volume and complexity of public disbursements. konaAI’s flexible model supports monitoring across a wide range of public spending categories including large capital construction projects, transportation initiatives, agricultural programs, social benefits disbursements, and general procurement.

The platform’s proprietary algorithms and risk-scoring techniques can be configured to the specific transaction types and control frameworks relevant to each program or agency.

konaAI’s government solution is designed to be adaptable to the needs and scale of both federal agencies managing large national programs and state or local government entities overseeing regional disbursements.

konaAI provides continuous, automated monitoring designed to surface fraudulent transactions at scale. The platform’s customized flexibility allows it to be configured to the specific regulatory obligations, reporting requirements, and risk priorities of each government body.

konaAI’s detection coverage for government organizations includes conflict of interest in vendor relationships, corruption and kickbacks in procurement, transaction anomalies, segregation-of-duties violations, circumvention of controls, suspicious spend patterns, sensitive keyword matches, urgent or off-cycle payments, sanctions and trade compliance screening, duplicative or wasteful spending, and OCR-based document matching to flag irregularities between invoices and purchase orders.

konaAI employs proprietary algorithms and risk-scoring techniques that assess each transaction across multiple risk dimensions simultaneously. Risk weightings can be aligned to the specific policies, procedures, and regulatory obligations of the government entity, ensuring that the detection engine focuses on the risk areas most relevant to that organization’s accountability requirements rather than applying a generic scoring model.

konaAI’s analytical outputs include a complete, auditable record of detection logic and reviewer decisions. Findings can be documented and exported to support referrals to inspectors general, audit committees, oversight boards, or law enforcement. The integrated case management workflow tracks the full lifecycle of identified exceptions through investigation and resolution, providing the documentation chain needed for formal referral processes.

Traditional government audit methods rely on periodic sampling typically reviewing 5–10% of transactions, which is inadequate to catch fraud that occurs between audit cycles or in the transaction population not selected for review. konaAI enables continuous, 100% transaction coverage with automated risk scoring, shifting the audit function from reactive, sample-based review to proactive, real-time monitoring of all third-party disbursements. Beyond fraud recovery, konaAI reduces the personnel time required for manual transaction review, enables smaller audit teams to monitor larger volumes of spend, and produces the documentation needed to demonstrate program effectiveness to oversight bodies, auditors, and the public.