Many automation projects start with software selection. But the real question may be whether the underlying technologies fit the process. OCR, NLP, ML, RPA, orchestration, and low-code platforms each solve different problems 👉 https://t.co/nhW9i55MqU
#Automation#AI#IPA
Many organizations assume EDI solves the hard part of AP automation. In reality, validation, matching, approvals, and exceptions still quietly create manual work before ERP posting. Read more 👉 https://t.co/rnR8KG5yNO
#AccountsPayable#EDI#ERP#InvoiceProcessing
Most AP automation projects stop at invoice processing. ArtsylPay helps automate what happens next - vendor payments directly within the AP workflow. 👉 https://t.co/RvAulFuJC2
#APAutomation#AccountsPayable#Payments#WorkflowAutomatio
Most accounting systems balance correctly on paper. That does not always mean the workflows behind those numbers are efficient or visible. Manual approvals, corrections, matching, and exceptions still slow work before ERP posting. Read more 👉 https://t.co/09AdeEq8MX
#Accounting
OCR is no longer the hardest part of automation. The real challenge is everything happening after capture - validation, approvals, routing, matching, and exception handling before ERP posting. That’s where docAlpha fit: https://t.co/cTz6LuZ2LZ
#ERP#Automation#DocumentProcessing
Where does the most manual workload still happen in your environment?
Finance teams don’t actually struggle with ERP posting itself. The bigger friction often happens before data reaches ERP - approvals, validation, exceptions around invoices and POs.
#InvoiceAutomation#ERP
🤔 Most finance teams don’t struggle with ERP posting itself. The real friction happens before ERP - inside approvals, mismatches, invoice exceptions, and manual workflows. We break that down here 👉 https://t.co/NpI1zEdVOv
#InvoiceAutomation#APAutomation#ERP
Most HIPAA risk starts long before a cyberattack - inside fragmented manual medical claims workflows handling PHI every day. That’s the operational layer ClaimAction helps automate and bring under control 👉 https://t.co/RzuxOCzpBJ
#HIPAA#MedicalClaims#HealthcareAutomation
Most AP problems don’t begin inside the ERP. They begin before it - in emails, PDFs, approvals, exceptions, and disconnected workflows. Capture is improving fast. Orchestration is becoming the real challenge. More👉 https://t.co/2viGyRzWGx
#APAutomation#ERP#WorkflowAutomation
What best describes your current view of AI invoice automation?
Everyone is talking about AI invoice automation right now. But after many conversations with finance and ERP teams, one thing becomes clear: people often mean very different things when they say “AI automation”.
ERP handles structured transactions well. The bigger procurement problem often starts before data reaches ERP. This breakdown explores why PO workflows still fail despite “automation” - and where AI orchestration is changing procurement ops: https://t.co/ap9Y8evvw0
#Procurement
OCR solved data capture. It didn’t solve validation, approvals, exceptions, mismatches, or workflow chaos before ERP posting. That’s why AP teams still feel overloaded after “automation.”
👉 https://t.co/WfcT0nJ5Ee
#APAutomation#ERP#InvoiceAutomation
AP teams were promised automation. Many got manual exception handling instead. Our latest blog breaks down why AI capture alone doesn’t fix approvals, validation, mismatches, or operational chaos before ERP 👉 https://t.co/4zpQq9bptj
#InvoiceAutomation#APAutomation
Most invoice automation projects don’t fail because OCR is inaccurate - they fail because operational reality is messy. That’s why solutions like InvoiceAction are shifting beyond capture toward workflow control, validation, and exceptions: https://t.co/WfcT0nJ5Ee
#APAutomation
AI extraction solved capture. It didn’t solve validation, matching, approvals, or exceptions. That’s why many AP teams still feel overloaded after “automation.” More here: https://t.co/a9stZFR5YK
Live webinar May 13:
https://t.co/6uaIOaDKW2
#APAutomation#InvoiceAutomation#ERP
“AI will automate everything” sounds convincing - until exceptions start piling up. The real challenge in AP is usually not extraction, but what happens after it. Why AI automation is moving beyond OCR:
https://t.co/f5CXvgKUGW
More on this live May 13:
https://t.co/6uaIOaDKW2
#AP
AI in AP has already “automated everything” - at least in presentations. In reality, invoices still come via email/PDFs, data is manually checked, and “automation” = AI + people fixing errors.
📅 May 13 - live webinar, no hype.
https://t.co/6uaIOaDKW2
#AP#InvoiceProcessing
The biggest myth in AP isn’t AI - it’s thinking invoice automation is already “handled.” Most work still happens before ERP 👉 https://t.co/WfcT0nJ5Ee
AI extracts. People fix the rest. May 13 - real talk, no hype: https://t.co/6uaIOaDKW2
#AccountsPayable#InvoiceAutomation#ERP
AI won’t automate everything in AP. It extracts data, but validation, matching & exceptions still need people. That’s the gap.
May 13: live session on what real invoice automation looks like - where AI works, where it breaks & what to invest in.
👉https://t.co/6uaIOaDKW2