In an era of tight liquidity and fluctuating rates, this session will show how a unified Treasury–AP strategy can turn payables from a back office cost into a shared lever for liquidity, yield, and supplier stability. Attendees will walk through invoice to pay workflows that give both teams real time visibility into invoice status, approvals, payment timing, and exceptions—improving cash forecasting, reducing surprises, and accelerating decisions. The session will also highlight practical ways to use automation, payment optimization, and data analytics to lower operating costs, unlock revenue opportunities on payables, and free up working capital—so both Treasury and AP deliver measurable, mutually aligned wins.
Session Outcomes
Attendees will leave this session with a clear, practical view of how Treasury and AP can operate as one team to drive both cost savings and growth. They will learn how to design invoice to pay workflows that give both functions real time visibility into invoice status, approvals, payment timing, and exceptions, enabling more accurate cash forecasting and tighter liquidity management. Participants will be able to identify specific opportunities to use automation, optimized payment timing, and digital payment methods to reduce operating costs, capture revenue share on payables, and strengthen supplier relationships. Finally, they will walk away with a concise framework for setting shared KPIs and governance between Treasury and AP, so they can translate collaboration into measurable improvements in working capital and new revenue streams.
Learning Objectives
- Identify specific opportunities for Treasury and AP to share workflows, data, and KPIs that improve cash visibility and working capital.
- Analyze invoice to pay processes to pinpoint where automation, payment timing, and digital payment methods can reduce cost and unlock new revenue on payables.
- Design an actionable roadmap to align Treasury and AP around joint governance, metrics, and technology that support sustainable working capital optimization.