Audit all expense reports
Every report is audited automatically with consistent, rules-based checks across every submission, detecting policy violations, anomalies, duplicates, mismatches and discrepancies.
100% coverage, not a sampleAs a compliance director, you know most organizations audit only a sample of expense reports. That is not the whole picture of compliance. The Expense Monitoring and Auditing solution, EMA, uses AI to automatically audit every expense report, surfacing only what requires your attention.
Expense report auditing is the review of travel, meal and entertainment expenses submitted by field and commercial teams to confirm they follow company policy and healthcare compliance rules. In life sciences it matters because HCP-related meals, travel and hospitality are both a fraud risk and reportable spend under transparency laws such as the Sunshine Act.
Sampling was never going to catch everything. As a compliance director, you know the reports outside the sample are exactly where risk hides.
A fraction of reports get looked at, and the rest are approved unseen.
Errors and intentional violations pass through simply because nobody opened the report.
Reviewers spend hours on compliant expenses that never needed a human at all.
Problems surface after payment and after the spend has already flowed into disclosure data.
The result: high risk, low efficiency and unreliable data.
EMA reviews 100% of expense reports using configurable compliance rules and AI-driven intelligence. You see only what genuinely needs a human decision.
Every report is audited automatically with consistent, rules-based checks across every submission, detecting policy violations, anomalies, duplicates, mismatches and discrepancies.
100% coverage, not a sampleIncomplete or inconsistent data and missing documentation are flagged before they become a compliance problem, improving overall expense data quality.
AI analyzes receipts, sign-in sheets and documents, extracting and validating receipt data, detecting altered or suspicious documents, and matching expenses to supporting evidence.
Beyond basic rule checks: duplicates, misclassified expenses, prohibited spending and suspicious activity are identified, and repeat offenders are distinguished from honest mistakes.
Fraud vs. error, separatedFindings are classified by severity with clear audit observations, and actions and resolutions are tracked. Clean, compliant expenses are auto-approved so reviewers focus only on what matters.
Only exceptions reach a humanAsk questions about expense data in plain language and get instant trend analysis, summaries and intelligent reporting, producing clean, audit-ready data for transparency reporting.
As general counsel, you need expense review that looks at context, not isolated line items. EMA detects mismatches between travel, location and spend, flags logically inconsistent transactions, and identifies hidden anomalies across separate reports that no single-report rule check would catch.
As a compliance director, see how EMA finds high-risk expenses automatically on a live call, without manual review of every report.
It reviews travel, meal and entertainment spend submitted by field and commercial teams against company policy and healthcare compliance rules, since HCP-related meals, travel and hospitality are both a fraud risk and reportable spend under laws like the Sunshine Act. qordata's EMA runs that review automatically on every expense report instead of a manual sample.
Sampling only ever reviews a fraction of reports and approves the rest unseen, which is exactly where fraud and policy violations hide. qordata's EMA uses AI to audit 100% of expense reports with consistent, rules-based checks, so nothing gets approved simply because nobody happened to open it.
Yes. qordata's EMA flags incomplete or inconsistent data and missing documentation as reports come in, before that spend flows into disclosure data, improving data quality upstream instead of catching the same issue during a year-end scramble.
qordata's EMA analyzes receipts, sign-in sheets and supporting documents directly with AI, extracting and validating the data on them, detecting altered or suspicious documents, and matching each expense to its supporting evidence, not just checking whether a number falls under a spending cap.
qordata's EMA looks past isolated rule checks at duplicates, misclassified expenses, prohibited spending and suspicious patterns, and distinguishes repeat offenders from one-off honest mistakes based on behavior across reports, not just a single flagged line.
No. qordata's EMA classifies findings by severity with clear audit observations and tracks actions through to resolution, and auto-approves expenses that are clean, so reviewers spend time only on what is genuinely flagged as risk instead of re-checking every compliant report.
Yes. qordata's EMA lets you ask questions about expense data in plain language and get instant trend analysis, summaries and reporting, producing clean, audit-ready data that flows straight into transparency reporting.
Yes. qordata's EMA looks at context across reports, flagging mismatches between travel, location and spend, logically inconsistent transactions, and hidden anomalies that a single-report rule check would never catch on its own.
Yes. qordata's EMA integrates directly with SAP Concur and other travel and expense systems to pull every report for automated review, and carries ISO 27001 certification and AICPA attestation.