Building an AI strategy to generate cash faster
There’s $600 billion sitting trapped in U.S. accounts receivables right now1. Its revenue companies have already earned but can’t collect. Most finance teams know AI can release trapped cash. But many don’t know where to start.
Join Mark Brousseau, a leading voice in AR and finance automation, for a practical session on building an AI strategy that actually moves cash. Mark will cover:
- How to evaluate where AI fits in your AR process today
- What a realistic rollout looks like from pilot to production
- Common missteps that can stall AI initiatives before they pay off (like challenges with ROI, complex tools, and ownership)
This session will also connect the dots between AI strategy and the metrics CFOs are focused on now: DSO, working capital optimization, and cash flow predictability. If you’re trying to move past “we should be using AI” and establish a plan you can defend and execute, this session is built for you.
1 Source: The Hackett Group, 2025 Working Capital Survey
Trapped cash refers to revenue a company has already earned but hasn’t yet collected from customers. According to a 2025 Hackett Group survey, roughly $600 billion is currently trapped in U.S. accounts receivables.
AI can identify patterns in payment behavior, prioritize high-risk accounts, and automate manual steps in the AR process, helping finance teams collect faster and improve performance metrics like Days Sales Outstanding.
Most successful rollouts start with a focused pilot on a specific AR process, then expand into production once results are validated, rather than attempting a full-scale deployment from day one.
Frequent missteps include unclear ROI expectations, choosing overly complex tools, and lacking clear ownership of the initiative within the finance team.
Finance leaders — including CFOs, VPs of Finance, and AR managers — who want a practical, defensible plan for applying AI to accounts receivable rather than a general AI overview.
