Why Accounts Payable Automation Matters More Than Ever

Safeguard Your Entire Company & Move Forward

The pandemic has been a clarion call for the implementation of new business models and processes for effective cash management – with AP at the heart. All workflows that impact cash are under review. The ability for Accounts Payable to deliver a positive impact depends entirely on the way an AP team goes about their work. Learn how a fully automated, end-to-end AP Organization will accelerate enterprise-wide transformation.

Imagine 100% Visibility With Invoice Automation

Automating across AP processes creates greater flexibility to perform functions from virtually anywhere, boosts protections against fraud, and improves accuracy in payment reporting, which are all especially essential during this time. Data from SSON Analytics shows that organizations with high levels of AP automation can save >50% on invoice processing costs. Learn how to lose the paper, take back control and liberate AP with invoice automation.

Hyper Intelligent Accounts Payable

Beyond invoice automation, the next generation of machine learning in AP is enabling heightened productivity, speed, accuracy and greater insight. Learn how to leverage the benefits of ML to achieve hyper intelligent performance, and at the same time, free up staff to engage in more critical or value-added tasks. Hear straight from the practitioners who are using artificial Intelligence including Machine Learning to reach high levels of straight through processing with minimal configuration effort.

Benchmarking as the Foundation for Continuous Improvement

According to SSON's State of the Industry Report, process design and CI are the two leading capabilities for the year ahead. Knowing how your AP/P2P Organization is performing against others – by industry and location – is key to identifying opportunities for improvement.

During this event you will join a benchmarking exercise to find out firsthand how you are performing - and where your gaps are.

Peter Eichhorn

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