AI-Powered Expense Compliance

Emburse Assurance

Expense compliance made automatic. Strengthen your compliance with an AI-powered layer* that guides employee submission in real time, enhances fraud detection, and gives finance teams confidence.

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* Customer data is never shared or used to train public, external, or third-party AI models.

Why AI is essential to modern expense compliance

Employees make honest mistakes. Receipts don’t always tell the full story, and policies are easy to forget in the moment. The result is avoidable back-and-forth, slower approvals, and risk that goes undetected during review.

Before: Manual Review & Static Rules

Manual, post-submission reviews creates inefficiency and rework, pulling finance and audit teams away from managing real risk. As expense volume grows, static rules struggle to keep up making fraud, waste, and abuse increasingly easy to miss.

Key result: Finance teams lose time and valuable resources correcting mistakes.

After: AI-Powered Expense Compliance

AI supports reviewers by analyzing every receipt with context before and after submission, preventing simple errors early and surfacing risk at scale before valuable time and resources are expended.

Key result: Policies are consistently applied. Spend is controlled. Finance teams are more confident.

Compliance at every step

Add a powerful layer of intelligent compliance to proactively keep expenses in policy throughout the expense journey

Pre-submission

Post-submission

Proactive Alerts

Catch mistakes in the moment

Examples: incorrect receipts, missing information

Pre-Submission Feedback

Post-Submission Review

Analytics

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Emburse Assurance works alongside your existing rules to analyze receipts before and after submission. It prevents errors, guides employees in real time, and helps finance and audit teams focus on real risk rather than audit noise.

Helps employees submit clean reports the first time

Real-time alerts and pre-submission checks keep expenses compliant from the start, reducing errors, rework, and time spent fixing reports later.

Gives Auditors clarity and confidence

AI reviews receipts and flags expenses that need attention so auditors and approvers can spot unusual spend and focus on real risk. Foreign-language receipts are translated to ensure no details are missed.

Turn audit data into smarter spend control

AI-powered risk scoring and analytics help finance and audit teams understand where risk occurs, strengthen controls, and improve compliance over time — all within Emburse.

Get Started

Get Started With Emburse Assurance

Stop receipt manipulation, fraud, and rework before they impact your bottom line. With AI-powered expense compliance, finance teams gain the confidence and time back to build the future of your organization.

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Frequently Asked Questions

While traditional rules check fields against rigid criteria such as whether an amount is below a spend threshold or a receipt is attached, Emburse Assurance utilizes AI to deliver intelligent expense compliance by reviewing full receipt images for context, authenticity, and accuracy.

Unlike traditional rules, which cannot determine if details are manipulated or if a spend makes sense in context, Emburse Assurance helps prevent unnecessary, risky, or fraudulent spend from slipping past approvers or auditors.

To maximize expense compliance and reduce auditor workload, the system detects different types of risks at two distinct stages:

  • Pre-Submission: It flags incorrect or incomplete receipts, missing business context, and out-of-policy spend, such as personal mixed into business expenses, to prevent clerical noise.
  • Post-Submission: It surfaces a variety of high-risk activities, including manipulated or fake receipts, duplicate expenses, off-hours spend, unusual amounts, and vendor legitimacy concerns

Standard OCR technology only extracts text. Emburse Assurance interprets receipt image details in context to verify authenticity and accuracy. It analyzes specific line items, vendors, amounts, and category patterns, and can even translate foreign-language receipts to uncover compliance issues that manual reviews or simple text extraction would miss.

Yes. Emburse Assurance helps reduce manual effort by catching common mistakes before submission through proactive alerts and pre-submission flags, which eliminates the clerical noise that typically slows down reviews or overburdens audit teams. Detecting higher-risk expenses post-submission, it allows approvers and auditors to focus their time on real risk and fraud rather than reviewing every low-risk transaction in detail.

Emburse Assurance provides real-time guidance and pre-submission feedback as employees capture recieipts and build expense reports. Highlighting policy issues, missing details, or receipt problems immediately, it helps employees correct errors before submission, avoiding the wasted time and rework often associated with strict expense compliance.

Assurance delivers risk-based insights and report-level risk scoring to help finance teams identify patterns, recurring issues, and policy gaps. These insights support smarter audits, better policy tuning, and improved compliance over time.

Yes. Emburse Assurance is natively embedded within the Emburse platform, meaning expense compliance checks happen directly inside your existing expense creation, reimbursement, and approval workflows. There are no separate logins or additional tools required, ensuring data stays in one secure system.

Yes. To help support comprehensive visibility, Emburse Assurance applies intelligent checks to both credit card transactions and reimbursements. This flexibility provides finance teams with consistent expense compliance and control across all expense types, regardless of how spend occurs. This flexibility supports finance teams in having the same level of visibility and control across all expense types.

No. Customer data stays within Emburse and is not used to train external or third-party AI models. Emburse Assurance is built on an enterprise-grade AI foundation designed to protect sensitive data; while it processes data to deliver insights, that data is never shared or used to train publicmodels.