Accounts payable · Production
Medius AI-powered AP automation for healthcare: touchless invoice processing rises to over 55%
The problem
Manual invoice processes in healthcare finance make traceability and compliance unnecessarily difficult, while error-prone manual matching slows operations and increases risk.
Workflow diagram · grounded in source
1
Invoice volume intake
trigger
“Every day, finance teams handle millions of dollars in payments, supplier data, and sensitive financial information”
2
Automated invoice matching
ai_action
“Replace error-prone manual invoice matching with intelligent automation – freeing time, reducing risk and increasing scalability”
3
Intelligent data capture and 3-way PO matching
validation
“Ensure timely, correct payments with intelligent data capture, 3-way PO matching and built-in fraud detection”
4
AI anomaly detection
ai_action
“Our AI-powered anomaly detection identifies risky invoices or fraudulent suppliers before payments are sent”
5
Audit-ready documentation
output
“Secure compliance with complete documentation and transparent audit trails across your entire invoice, payment and supplier management process”
6
AI-assisted supplier communication
output
“AI‑assisted supplier communication – available whenever they need it”
Reported outcome
Within six months, touchless invoice processing at Intersafe rose from around 40% to over 55% of all invoices, freeing finance staff to take on more action-oriented work.
Reported metrics
Touchless invoice processing rate achievedover 55%
Touchless invoice processing baselinearound 40%
Time to achieve improvementsix months
Reported stack
Medius
Frequently asked questions
What did this team achieve with this AI workflow?
Within six months, touchless invoice processing at Intersafe rose from around 40% to over 55% of all invoices, freeing finance staff to take on more action-oriented work.
What tools did this team use?
Medius.
What results were reported?
Touchless invoice processing rate achieved: over 55%; Touchless invoice processing baseline: around 40%; Time to achieve improvement: six months (source-reported, not independently verified).
How is this accounts payable AI workflow structured?
Invoice volume intake → Automated invoice matching → Intelligent data capture and 3-way PO matching → AI anomaly detection → Audit-ready documentation → AI-assisted supplier communication.