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Vic.ai

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About

Vic.ai is an autonomous finance platform designed specifically to streamline and automate accounts payable (AP) processes for enterprise organizations. Unlike traditional robotic process automation (RPA) tools that rely on rigid, template-based rules, this platform utilizes advanced artificial intelligence trained on over half a billion invoices to understand and process financial documents. Its primary purpose is to reduce the manual work associated with invoice ingestion, coding, and approval, allowing finance departments to operate with higher efficiency and fewer entry errors. The tool operates through a series of features including Autopilot, which enables automated invoice processing by predicting classifications with high accuracy. It handles complex tasks like line-item coding across multiple dimensions such as class, location, and General Ledger accounts. Additionally, the platform supports three-way purchase order (PO) matching, which verifies invoices against POs and goods receipt notes. It also features flexible, condition-based approval flows that track every action with an audit trail, ensuring compliance and data integrity throughout the payment lifecycle. This platform is built for finance professionals such as CFOs, Controllers, and AP Managers who oversee high volumes of transactions in industries like construction, manufacturing, retail, and logistics. It is intended for organizations looking to scale their operations without necessarily increasing headcount. By centralizing AP operations and providing real-time data through VicAnalytics, the tool helps teams gain visibility into spend and cash flow while decreasing the time required for month-end financial closures. What distinguishes Vic.ai from similar tools is its reliance on a global AI model rather than templates or memorization. Because the AI is pre-trained, it can process new invoice formats without significant manual setup. The introduction of Victoria, an agentic AI component, further extends its capabilities by offering chat-based interactions for corporate card management and automated insights. With a reported average payback period of seven months and high no-touch rates achieved within half a year, it offers a data-driven approach to modernizing finance workflows.

Pros & Cons

Achieves up to 99% accuracy on invoice header and line-item data without requiring manual templates.

Eliminates the need for manual setup or memorization for new vendors by using a pre-trained global AI model.

Supports complex multi-dimensional coding including splits across various General Ledger accounts and classes.

Provides a comprehensive audit trail for every approval and rejection that can be synced directly to an ERP.

Offers a fast implementation period with the ability to train the AI on historical data in approximately two weeks.

The web app interface is currently limited to English, Swedish, and Norwegian languages.

Pricing is not transparent and requires a direct inquiry with the sales department for a custom quote.

The platform primarily supports Latin alphabet languages for invoice processing, limiting some global use.

Full autonomous no-touch rates typically take up to six months of data processing to reach peak performance.

Use Cases

CFOs at mid-to-large enterprises can use the platform to gain real-time visibility into non-payroll expenses and prevent fraud without adding headcount.

Accounts Payable Managers can automate three-way PO matching to ensure they only pay for goods actually received, strengthening vendor relationships.

Controllers can centralize fragmented AP operations across multiple entities to streamline the month-end close process and improve balance sheet oversight.

AP Analysts can utilize the Autopilot feature to bypass manual review for high-confidence invoices, freeing up 3 to 6 hours of capacity per week.

Large-scale retailers can handle hundreds of line items per invoice automatically, ensuring accurate distribution across different store locations and GL accounts.

Platform
Web
Task
finance automation

Features

erp integration api

duplicate bill detection

line-item level coding

vicanalytics dashboard

condition-based approval flows

three-way po matching

autopilot no-touch workflows

autonomous invoice processing

FAQs

How does Vic.ai handle duplicate invoices?

The platform automatically detects duplicate documents across all ingested files to prevent double payments. It flags these items with a clear red indicator for immediate attention.

What is the Autopilot feature?

Autopilot allows the system to process and post invoices automatically when the AI's confidence levels meet specific accuracy thresholds. This enables a no-touch workflow where humans only intervene for exceptions.

Can Vic.ai match invoices to Purchase Orders?

Yes, it performs three-way matching by linking invoice data with POs and goods receipt notes. It can handle complex scenarios like matching multiple invoices to a single PO or multiple POs to one invoice.

Which ERP systems does the platform integrate with?

Vic.ai integrates with major systems including Sage Intacct, Workday, Oracle NetSuite, SAP S/4Hana, and Microsoft Dynamics. It utilizes an open API to facilitate these connections seamlessly.

What file formats are supported for document ingestion?

Users can upload documents in PDF, Doc, Docx, and various image formats like JPG, GIF, and TIF. It also supports some electronic formats and mobile file uploads.

How long does implementation typically take?

The platform can be deployed as quickly as an organization requires, with end-user training included. Historical data training for the AI model generally takes about two weeks to complete.

How accurate is the AI compared to human data entry?

The algorithms currently achieve between 97% and 99% accuracy on invoice predictions. This rate improves over time as the AI processes more data and receives corrections from the finance team.

Pricing Plans

Enterprise
Unknown Price

Autonomous Invoice Processing

Autopilot Technology

Three-Way PO Matching

Condition-Based Approvals

VicAnalytics Access

ERP Integrations

Victoria AI Ally

Audit Trail Tracking

Job Opportunities

There are currently no job postings for this AI tool.

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