In recent years, finance leaders have seen a surge in Accounts Payable (AP) automation, with SSON data showing that 63% of AP teams have automated in some capacity. Despite automation levels soaring, however, KPIs such as straight-through-processing (STP) have stalled, as exceptions remain a bottleneck. Plus, PO mismatches, tax discrepancies, and coding decisions still require manual intervention. In order to break through that value ceiling, a new approach is needed that can tackle judgment-based challenges: Agentic AI.
In this session, our expert speakers will explore:
In recent years, finance leaders have seen a surge in Accounts Payable (AP) automation, with SSON data showing that 63% of AP teams have automated in some capacity. Despite automation levels soaring, however, KPIs such as straight-through-processing (STP) have stalled, as exceptions remain a bottleneck. Plus, PO mismatches, tax discrepancies, and coding decisions still require manual intervention. In order to break through that value ceiling, a new approach is needed that can tackle judgment-based challenges: Agentic AI.
In this session, our expert speakers will explore:
