AI-enabled SaaS solution for federal invoice, claims, and payment integrity workflows.
Federal agencies process millions of invoices and claims each year against contracts, fee schedules, coding rules, and regulatory requirements. Much of that validation still depends on spreadsheets, email threads, manual sampling, and legacy workflows that are difficult to scale, monitor, or defend.
These fragmented processes slow reimbursement cycles, increase improper payment risk, and limit visibility for Contracting Officers, auditors, program leaders, and oversight teams.
Verikata centralizes payment integrity workflows from intake through disposition. The platform normalizes incoming data, applies program-specific business rules, identifies anomalies and emerging risk patterns, and gives teams a unified workspace for review, documentation, reporting, and oversight.
Normalizes vendor submissions, claims files, EDI transactions, flat files, and other source data into a consistent data model. Intake processes initiate SLA tracking and support encryption at rest and in transit.
Maintains versioned, timestamped records with full audit history. Transactional data, decision records, and reviewer actions are preserved to support transparency, oversight, and defensible reporting.
Runs transactions against program-specific business logic, including pricing, coding, service, structural, contractual, and regulatory rules. Each rule can be tied to a defined authority so reviewers understand what triggered the flag and why it matters.
Uses XGBoost and SHAP explainability to surface anomalies and emerging risk patterns beyond known rule violations. Each score can be broken down by the features that contributed to the result, giving reviewers visibility into how the model reached its recommendation.
Provides role-based workspaces for reviewers, auditors, supervisors, and executives. Reviewers can disposition records, document rationale, manage bulk actions, and create a complete audit trail. Reviewer decisions are captured as ground-truth labels and fed into scheduled retraining cycles so model accuracy improves with operational use.
Verikata can be extended with a natural-language query capability that enables users to explore validation data, audit history, reviewer actions, and decision records through conversational search. Extensions can also support vendor self-service workflows and legacy system integrations.
Verikata was developed through CATHEXIS Labs and built from CATHEXIS’ direct experience supporting federal audit, oversight, and payment integrity missions.
Since 2019, CATHEXIS has supported high-volume federal billing and invoice audit programs including independent financial audits, continuous monitoring, billing integrity reviews, corrective action support, and risk-based oversight across complex vendor environments.
Verikata is built for federal missions — operating inside a FedRAMP Moderate-authorized C3 AI environment and leveraging platform-provided NIST 800-53 controls for infrastructure, identity, encryption, and audit.
Government customers retain full ownership of their data. Verikata supports standard-format export of transactional records, audit history, reviewer decisions, and disposition data.
Validate invoices against contract pricing schedules, fee benchmarks, coding rules, and program-specific requirements before payment is issued.
Monitor high-volume payment flows where agencies need to identify anomalies, enforce program rules, and maintain defensible oversight documentation.
Schedule a demo with CATHEXIS to explore how Verikata can align to your data sources, compliance rules, reviewer workflows, reporting needs, and audit requirements.
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