Emburse Assurance

Automate expense compliance with real-time AI guidance, stronger fraud detection and confidence for finance teams.

Emburse Assurance is an AI-powered expense compliance solution that helps organisations prevent errors, policy breaches and fraud throughout the expense journey. Embedded within existing Emburse workflows, it guides employees in real time, analyses receipts before and after submission and helps finance and audit teams focus on genuine risk.

Before an expense is submitted, Assurance identifies issues such as incorrect or incomplete receipts, missing business context, personal items and out-of-policy spending. Employees receive immediate guidance so they can correct mistakes before sending their reports, reducing avoidable queries, rework and approval delays.

After submission, Assurance analyses receipt images and expense details to identify higher-risk activity, including manipulated or fraudulent receipts, duplicate claims, unusual amounts, off-hours spending and questionable vendors. Unlike standard OCR, which simply extracts text, Assurance interprets line items, merchants, amounts and spending patterns in context. It can also translate foreign-language receipts so important information is not overlooked.

AI-powered risk scoring and analytics show finance teams where compliance risks occur, reveal recurring issues and highlight potential policy gaps. These insights support more targeted audits, stronger controls and continuous improvement, while reducing the time spent manually reviewing low-risk transactions.

Assurance works alongside existing business rules and applies intelligent checks to both corporate-card transactions and employee reimbursements. It is integrated directly into Emburse, so users do not need separate tools or logins.

Customer data remains within Emburse and is never shared with or used to train public, external or third-party AI models. The result is cleaner expense reports, faster approvals, more consistent policy application and greater confidence for finance teams.