Vic.ai — Accounts Payable & Accounting Automation
Vic.ai is an intelligent accounts payable platform for enterprise finance teams to automate invoice processing.
Vic.ai is an enterprise-grade artificial intelligence platform designed to automate accounts payable and financial operations. This platform enables mid-market and enterprise finance leaders to eliminate manual data entry and streamline their entire invoice-to-payment lifecycle. By leveraging proprietary machine learning models, Vic.ai processes invoices with high accuracy, often bypassing the need for human intervention in data extraction and GL coding. The software integrates directly with major enterprise resource planning systems to ensure financial data flows instantly across the organization. Finance teams use the platform to automate approval workflows, detect duplicate entries, and manage complex tax requirements across multiple jurisdictions. In 2026, the tool remains a leader in cost reduction for high-volume finance departments by shortening the time between receipt and payment. Business owners can monitor financial performance through real-time dashboards that provide visibility into spend and processing efficiency. Vic.ai also includes specialized modules for purchase order matching and spending insights, helping teams transition from reactive bookkeeping to proactive financial strategy. You can find detailed reviews of these features on surfai.app to see how they fit your stack. The platform is designed for scale, supporting multi-entity organizations and global compliance standards. Vic.ai operates on an enterprise pricing model tailored to invoice volume and organization size, typically requiring a consultation for a custom quote.
- Pricing: enterprise
Specifications
| Pricing | enterprise |
|---|---|
| Integrations | Oracle NetSuite, SAP S/4HANA, Microsoft Dynamics 365 Business Central, Workday Financial Management, Sage Intacct |
| Best for | finance-leaders, cfo-offices, accounting-firms, enterprise-businesses |
| Website status checked | 2026-10-23T18:00:48.23+00:00 |
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|---|---|---|---|
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