Medius Capture automates AP invoice processing with AI, OCR, and machine learning for touchless workflows
AP teams relying on manual invoice processing face disconnected folder-based workflows and an inability to achieve straight-through processing, with most partial-automation investments failing to deliver measurable improvements.
Existing AP automation solutions failed to keep pace with today's process needs, leaving the majority of companies with no improvement in straight-through processing or processing times despite their automation investments.
Lyko achieved major efficiency gains by enabling automatic capture after initial reviews, skipping manual review steps entirely.
Chadwell Supply overhauled its manual AP process and now challenges itself to maximise touchless invoice volume.
Frequently asked questions
What did this team achieve with this AI workflow?
Lyko achieved major efficiency gains by enabling automatic capture after initial reviews, skipping manual review steps entirely.
What tools did this team use?
Medius Capture, OCR, machine learning, SAP, Oracle, NetSuite, Infor, Microsoft Dynamics.
What results were reported?
AP automation adoption without ROI (industry statistic): 61%; efficiency gains from automatic capture (Lyko): major efficiency gains (source-reported, not independently verified).
What failed first in this deployment?
Existing AP automation solutions failed to keep pace with today's process needs, leaving the majority of companies with no improvement in straight-through processing or processing times despite their automation invest…
How is this accounts payable AI workflow structured?
Invoice received in any format → AI/ML/OCR data extraction → Automatic PO matching → Invoice coded and approved → ERP posting for payment → Automatic capture enabled after review.