Medius: Moving Beyond PDF Invoices Towards Autonomous AP with AI, ML, and OCR
Despite adopting PDFs and partial automation, 61% of companies with fully or partially automated AP do not see the expected return on investment, and organizations still cite invoice exceptions and limited visibility as persistent top challenges.
PDF digitization and partial automation have not delivered the expected efficiency gains; the perception that reducing paper and using PDFs equates to efficient processes and better visibility is described as incorrect.
Kennards Storage reduced AP headcount despite a 50% increase in invoices, with the team able to take on additional tasks and the CFO describing it as a huge efficiency saving across the finance department and wider business.
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Frequently asked questions
What did this team achieve with this AI workflow?
Kennards Storage reduced AP headcount despite a 50% increase in invoices, with the team able to take on additional tasks and the CFO describing it as a huge efficiency saving across the finance department and wider bu…
What tools did this team use?
AI, ML, OCR.
What results were reported?
AP companies with automation not seeing expected ROI: 61%; AP organizations citing invoice exceptions as top challenge: 45%; AP organizations citing reporting and analytics as top priority: 48%; Organizations that decreased paper invoices: almost 50% (source-reported, not independently verified).
What failed first in this deployment?
PDF digitization and partial automation have not delivered the expected efficiency gains; the perception that reducing paper and using PDFs equates to efficient processes and better visibility is described as incorrect.
How is this accounts payable AI workflow structured?
Invoice received → AI, ML, and OCR processing → Autonomous post to ERP.