AI Agent for Epicor Kinetic - Accounts Payable
This 30-minute session demonstrates how the Fluent AI Agent streamlines accounts payable operations, with incoming invoices and vendor documents automatically captured, analyzed, and routed using AI—without manual data entry or file handling. Key topics include smart document recognition, automated validation and posting, Epicor Kinetic integration, and real-time visibility dashboards, so you’ll leave with a clear understanding of how AI reduces AP workload, eliminates delays, and delivers a hands-free, auditable ERP-integrated process.
This 30-minute session demonstrates how the Fluent AI Agent streamlines accounts payable operations. Attendees will see how incoming invoices and vendor documents are automatically captured, analyzed, and routed using AI—without manual data entry or file handling.
Key topics:
- Smart document recognition: Extracts key data like vendor, amount, PO number, and terms directly from PDFs or scanned invoices.
- Automated validation and posting: Uses AI to check duplicates, match against purchase orders, and flag exceptions.
- Epicor Kinetic integration: Sends validated transactions directly to Epicor via secure APIs for seamless posting and reconciliation.
- Visibility and control: Gain real-time dashboards showing invoice status, exceptions, and processing time reductions.
You’ll leave with a clear understanding of how AI can reduce AP workload, eliminate delays, and improve accuracy—turning what used to take hours into a hands-free, auditable process integrated with your ERP.
Date
November 18, 2025
Time
2:00 PM - 2:30 PM ET
Webinar
Online Event
Hosts

Gonzalo Nuñez
Chief Technology Officer

Christian Wettre
EVP, GM North America
Frequently Asked Questions
This is where AP automation meets payment fraud, and it should be treated as a control question rather than a processing one. Bank detail changes must never be actioned from the invoice or the email that carried it. The control is out-of-band verification against a known contact, with the change made in the vendor master by someone who cannot also release payments. Automation raises the stakes here: faster processing means a fraudulent change reaches payment sooner.
Non-PO invoices need a different path, because there is nothing to match against. The usual approach is coding rules by vendor: this supplier always posts to this account and this cost centre, routed to this approver. These invoices are frequently the majority by count in a manufacturing business even though they are a minority by value, so leaving them out of scope removes much of the benefit.
It changes what the role does rather than removing it. The keying and filing disappear. What remains is exception handling, vendor relationships, resolving disputed invoices, and controlling the master data the automation depends on. Teams that treat the project purely as a headcount reduction tend to lose the person who understood which vendors bill oddly, and that knowledge is what keeps the exception queue short.
It can, through early payment discounts and through avoided late fees, but only where invoices were previously late for internal reasons rather than deliberate cash management. If a business is holding invoices on purpose to manage cash, processing them faster does not help and may hurt. Establish which of the two you are before the project, because the case for automation is different in each and only one of them shows up as a discount captured.
Approval routing sits above the automation rather than inside it. The system determines what the invoice is; your policy determines who may approve it and up to what value. Keep those rules in one place and version them, because approval thresholds change with people and delegations far more often than invoice formats do. Hard-coding an approver's name into an automation rule guarantees a broken workflow the week they change roles.
Vendor master data, mainly. Duplicate vendor records, inconsistent naming and stale remittance details cause more automation failures than poor scan quality. Purchase order data matters too: if POs are frequently raised after the invoice arrives, matching has nothing to work with. Auditing the vendor master before implementation is unglamorous and it is usually the difference between a system that runs and one that generates a queue nobody clears.
Every invoice should be traceable back to the source document, showing what was extracted, what the system decided, which rule or check produced that decision, and who approved anything that needed a person. An auditor's question is rarely "is the total right"; it is "show me how this was approved and by whom". A system that posts correctly but cannot reconstruct the decision creates work at audit time instead of saving it.
A two-way match compares the invoice to the purchase order. A three-way match adds the receipt, confirming the goods actually arrived before payment is released. Automation makes the three-way match cheaper to enforce, because the system checks receipts on every line rather than only on high-value invoices. The prerequisite is that receiving is entered promptly in the ERP. Where receipts lag by days, the automation will hold invoices that a human would have released.
It should stop and route to a person rather than post a guess. A workable setup assigns every extracted field a confidence level and holds the invoice for review when any critical field falls below the threshold, with the uncertain values highlighted rather than the whole document re-keyed. The measure of a good system is not how many invoices it processes without help, but how reliably it recognises the ones it should not touch.
Currency and tax lines need to be extracted as they appear on the document and converted according to your ERP's rules, not the automation's. The more common problem is multi-entity: the same vendor billing several of your operating companies, where an invoice can post to the wrong entity and look perfectly valid. Matching on vendor plus the entity's own identifiers, rather than vendor alone, avoids most of it.


