Eliminate Manual Hurdles in JD Edwards with AI-Powered AP Automation

Eliminate Manual Hurdles in JD Edwards with AI-Powered AP Automation

by SCANMAN
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Stop the manual grind. Scale your JDE Finance department with AI.

When your finance team is stuck manually transcribing data, chasing approvals, and wrestling with 3-way matching in JD Edwards, they aren’t focused on the high-value tasks that drive your business forward. It’s time to move beyond manual entry.

Join our upcoming webinar on May 28th to discover how AI-powered pattern recognition and native JD Edwards integration can transform your AP department into a high-efficiency, touchless engine.

Let AI handle it and have your team focus on what truly matters.

– WHAT YOU’LL LEARN –

In this session, discover how SCANMAN delivers best-in-class AP Automation by combining AI-powered data capture with native JD Edwards integration.

The result: minimal manual work, higher accuracy, and a fully streamlined process.

– SESSION’S AGENDA –

— What you’ll see —
➡️ AI in action: learn how SCANMAN uses AI to extract and validate invoice data, so that only 5% of incoming invoices require manual intervention
➡️ Beyond AI: how native JD Edwards integration extends automation capabilities beyond what AI alone can achieve.

See SCANMAN’s newest features live:

  • Automate GL coding in JD Edwards: choose your preferred coding method and let automation do the rest
  • Variance and tolerance approvals: streamline approvals so invoices that match or fall within tolerance don’t need to be touched

Finally, experience a live demo of SCANMAN AP Automation in action, showcasing:
▪️ PO and non-PO invoice processing
▪️ 2- and 3-way matching
▪️ Automated approval workflows inside JD Edwards

📅 Date/Time
09:00 – 10:00 PT | 10:00 – 11:00 MT
11:00 – 12:00 CT |12:00 – 13:00 ET | 17:00 – 18:00 CET
Thursday, May 28th, 2026

⬇️ Watch the Webinar ⬇️

https://register.gotowebinar.com/register/5600664197474546262?source=website-event

Additional Details

Timezone - Europe/Amsterdam

To register for this event please visit the following URL: https://attendee.gotowebinar.com/register/1330158833840791131?source=website-event →

 

Date And Time

2026-03-26 @ 05:00 PM to
2026-03-26 @ 06:00 PM
 

Location

Online event
 

Event Category

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