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:
EY
Andreas serves as the Global & EMEIA Finance Optimization Cluster Leader for EY Financial Accounting Advisory Services, where he manages a client-centric team supporting CFOs and their finance functions in all aspects of controllership and financial planning and analysis (FP&A) with a strong emphasis on process improvement and digital enablement. Since the CFO´s role is evolving into a more value-oriented task, Andreas firmly believes that mid-term digitalization, automation, data and process analytics, and system improvements lie at the heart of an organization's finance transformation journey. Andreas himself is currently heavily involved in enhancing proprietary EY solutions and third-party software in finance with (Gen) AI technologies. Andreas is a regular speaker on Finance optimization topics at various client events and universities.
