You chose Sage Intacct for its dimensional general ledger, multi-entity consolidation capabilities, and structured financial reporting. But before invoice data reaches Intacct, it still has to be entered and coded by the AP team. When that work is done manually and under time pressure, coding can be inconsistent and important dimensions can be missed.
The ERP isn't the bottleneck
Much of the work happens before an invoice reaches Sage Intacct. Vic.ai automates invoice intake, data extraction, coding, matching, approval workflows, and posting. Sage Intacct remains the system of record, while the AP team focuses on exceptions and invoices that need additional review.
AI that learns your coding, not rules you maintain
Vic.ai supports invoice processing, purchase order matching, approval workflows, payments, analytics, and task-specific VicAgents. Its AI was trained on more than one billion invoices and continues learning from your vendors, entities, accounting dimensions, and team corrections. Instead of relying only on templates or manually maintained rules, Vic.ai uses previous invoice and coding activity to improve future predictions. Vic.ai can achieve up to 99% accuracy across invoice data and coding fields, while providing confidence scores and a record of changes and approvals.
From vendor email to posted transaction
- Ingestion - email, PDF, paper. No portal migration, no asking vendors to change how they invoice you.
- Prediction - full coding, including GL account, entity, and your Intacct dimensions. Two- and three-way PO matching runs automatically.
- Review - every prediction carries a confidence score; every correction trains the model on your operation.
- Approval - routing follows learned patterns for who signs off on which vendor and GL combination. Approvers act from mobile, which is where the delay usually lives.
- Post to Intacct - the invoice lands with its dimensional detail intact, not just an account number.
Auto-pilot can be introduced gradually
Teams do not need to automate every invoice at once. Vic.ai can begin by assisting with invoice entry and coding, then expand into approval support, exception handling, and automatic processing as accuracy is validated. Auto-pilot can be enabled by vendor, invoice type, entity, or other criteria. The finance team sets the required confidence thresholds and review rules. Human review, exception queues, confidence scores, and audit records remain available throughout the process. As Vic.ai learns from additional invoices and corrections, more invoices may be processed without manual updates.
Multi-entity AP stops scaling with entity count
- Dimensions get populated at scale. Manual invoice coding can result in missing, incorrect, or default dimensions, particularly for non-PO invoices. Vic.ai predicts dimensional coding as part of the invoice-processing workflow, helping teams apply the accounting structure already established in Sage Intacct.
- Entity growth stops requiring headcount growth. Each new entity can introduce additional vendors, approvers, coding requirements, and operating procedures. Vic.ai learns from activity within each entity, reducing the need to create and maintain a large number of separate invoice templates and coding rules.
- The close shortens because the accrual picture is current. Invoices that remain in email inboxes or approval queues may not be reflected in the accounting system. Moving invoices into the AP workflow sooner can improve visibility into outstanding liabilities and reduce the amount of invoice follow-up required near period end.
No-touch rates above 80% in multi-entity production
Our customers are already seeing measurable results. One multi-entity property management company processed more than 171,000 invoices in 90 days with a no-touch rate above 80%, while a top-five U.S. trucking company reduced its average invoice-processing time to 1.6 minutes.
See it against your own invoice mix
If you're running Sage Intacct across multiple entities at meaningful invoice volume, the combination is worth a conversation. Schedule time with a Vic.ai expert.
https://www.vic.ai/request-demo
.svg)
