Finance leaders are facing a new reality—rising customer risk, slower payments, increasing disputes, and growing pressure to do more with fewer resources.
Customer-to-Cash is no longer just an operational workflow. It is becoming the financial backbone and risk management engine of modern B2B commerce.
Why This Webinar Matters
Customer-to-Cash is at a critical inflection point.
Organizations are being challenged to:
- Manage increasing customer risk and volatility
- Address slower payments and rising disputes
- Operate with fewer resources and higher cost pressures
- Accelerate decision-making without sacrificing control
speakers
Phyllis Saavedra
Vice President, Customer Success, Emagia
Bryan DeGraw
Associate Principal, Finance Applied Intelligence, The Hackett Group
What You’ll Learn
How Customer-to-Cash Is Becoming a Strategic Risk Function
- Why Customer-to-Cash is evolving into a core enterprise risk management system
- The key risks finance must actively manage: credit, payment, disputes, and compliance
How AI Is Transforming Risk and Decision-Making
The shift from reactive processes to real-time, predictive risk management
How AI enables:
- Early risk detection
- Dynamic credit decisions
- Risk-based collections prioritization
How Finance Roles Are Changing in an AI-Native World
- Less manual work—more focus on insight, exceptions, and strategy
- AI as a force multiplier, increasing the impact of skilled teams
What AI-Native Customer-to-Cash Looks Like
Continuous credit monitoring and AI-driven decisioning
Predictive insights across credit, collections, and disputes
Measurable outcomes:
- Faster cash conversion
- Lower risk exposure
- Improved customer experience
Ready to Transform Credit-to-Cash with Agentic AI?
Take the next step toward redefining risk management in B2B finance with intelligent, self-driving AI agents. Discover how leading finance and Shared Services teams are using Agentic AI to enhance credit decisions, reduce risk exposure, improve cash flow visibility, and scale operations with greater accuracy and control.