Sage Expense Management (formerly Fyle)
作者 Fyle
Experience effortless expense management on your existing credit cards.
Sage Expense Management (formerly Fyle) is the AI-powered platform for finance teams who want real-time expense control without the disruption of switching corporate cards.
Our direct integration with your existing Visa, Mastercard, and American Express delivers transactions instantly upon swipe.
Finance teams get instant visibility into spending, and employees can upload receipts through Outlook, Gmail, text message, or our mobile app.
Our AI-powered OCR engine automatically codes, categorizes, and assigns expenses to the right projects and cost centers, while pushing audit-ready data to your accounting software like NetSuite, Sage, QuickBooks, or Xero.
With built-in policy checks, fraud detection, and easy-to-use tools that employees actually adopt, Sage Expense Management eliminates manual work, reduces friction, and gives finance teams complete control over spend.
Key Features:
- Fast, flexible receipt capture
Employees can snap a photo of a receipt using Outlook, Gmail, Text Message, or the Mobile app, or submit via text. Our AI-powered OCR engine extracts the data in seconds.
- Automated reconciliation
Connect directly with your existing Visa, Mastercard, and American Express cards, so transactions are instantly visible and matched with receipts the moment they're uploaded.
- Direct reimbursements
Pay back employees quickly and securely via ACH.
- Built-in budget & project controls
Assign expenses to projects or departments, enforce budget controls, and monitor spend in real-time.
- Instant Policy Checks & Fraud Alerts
Automatic detection and flagging of policy violations, duplicate claims, or unusual activity, helping you stay compliant.
- Two-way sync with accounting software
Automatically push approved, audit-ready expense data to systems like NetSuite, Sage, QuickBooks, or Xero.
Get a demo: https://www.fylehq.com/schedule-demo
Help and Support: support@fylehq.com
应用功能
- 可通过 Internet 发送数据
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