Automating contract-to-cash with AI agents can materially improve cash flow, reduce operating costs, and free sales teams to focus on growth rather than collections—creating a potential competitive advantage for early adopters. Firms that hesitate may lose revenue and efficiency as agentic workflows become standard.
Agree CEO Marty Ringline outlined how "agentic revenue"—AI-native contract agents that manage the contract-to-cash workflow—can dramatically accelerate B2B revenue operations by automating invoicing, collections, and payment processing. He said agents reduce human error and silos that slow revenue recognition, citing early performance metrics such as a 32% lift in same-day payments and 4.3x recovery of overdue invoices. Ringline argued the shift from lifecycle thinking to workflow automation is already underway, enabled by recent industry moves (eg, OpenAI and Stripe) and broad adoption of agentic workflows. He warned companies that delay adoption risk ceding speed and revenue to competitors who automate these processes.
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