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X-WR-CALDESC:Events for Enterprise Autonomous Finance for O2C and Accounts Receivable
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DTSTART:20260308T080000
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DTSTART:20261101T070000
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DTSTART;TZID=America/Chicago:20260219T080000
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CREATED:20260122T061436Z
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UID:37745-1771488000-1771497000@www.emagia.com
SUMMARY:Autonomous Collections: Predictive Collections with AI Agents
DESCRIPTION:Transform Collections from Reactive Follow-Up to Predictive\, Autonomous Execution\nAs finance leaders face rising delinquency risk\, tighter working capital targets\, and increasing pressure to do more with leaner teams\, traditional collections models are reaching their limits. \n Static aging reports\, manual prioritization\, and one-size-fits-all dunning strategies can no longer keep pace with today’s customer complexity and global scale.  \nAI-driven and agentic collections are redefining how leading finance organizations manage receivables—shifting collections from reactive follow-up to proactive\, predictive\, and autonomous execution. \nWhat You’ll Learn\nIn this 30-minute executive MasterClass\, finance leaders will learn how AI and agentic systems are transforming collections operations across the Order-to-Cash lifecycle\, enabling smarter prioritization\, higher recovery rates\, and improved customer experience. \nKey Topics Include: \nPredictive Delinquency Scoring & Prioritization\nLearn how AI analyzes payment behavior\, invoice attributes\, customer risk profiles\, and external signals to predict which invoices are likely to go late—and which matter most to cash flow. \nDynamic & Personalized Dunning Strategies\nUnderstand how AI enables personalized\, channel-aware dunning—tailoring messaging\, timing\, and tone based on customer behavior\, risk\, and responsiveness. \nAgentic AI for Dispute & Deduction Management\nSee how agentic AI can autonomously identify\, route\, and resolve disputes and deductions—reducing cycle times while maintaining visibility and control. \nIntegrated & Scalable Collections Execution\nExplore how AI-driven collections workflows integrate with internal teams\, external agencies\, and customer self-service portals to scale operations without increasing headcount. \nCustomer Self-Service for Faster Resolution\nLearn how enabling customers to self-serve invoices\, payments\, disputes\, and promises to pay improves resolution speed and customer satisfaction. \nReal-World Use Cases Covered\n\nStrategy-based task assignment aligned to risk and value\n Forecasting late payments and bad debt exposure\n Autonomous\, personalized dunning execution at scale\n Automated collection strategies driven by customer risk profiles\n Root-cause analysis to prevent repeat delinquencies \n\nWho Should Attend\nThis session is designed for finance and shared services leaders responsible for cash flow performance and receivables execution\, including: \n\n CFOs and Controllers\n VPs of Treasury and Finance\n Heads of Shared Services and GBS\n Senior Credit & Collections Leaders\n Order-to-Cash and AR Transformation Leaders\n\n\nSession Details\n📅 Session 2: Autonomous Collections – Predictive Collections with AI Agents\n  ⏱ Duration: 30-minute executive webcast\n  🎙 Host:  Emagia \nDate: February 19\, 2026 | Time: 11:00 AM EST \n\nUpcoming Sessions in the AI MasterClass Series\n\n March 19 Session 3: Autonomous Cash Application – Straight-through Processing with AI\n April 16 Session 4: Customer Payments Self Service – AI-enabled Customer Experience\n May 21 Session 5:  Customer Invoicing and Billing – Automation and Accuracy with AI\n June 18 Session 6: AR Analytics  – Strategic Insights and Working Capital Improvements with AI\n\nWhy Attend\nFinance leaders who adopt predictive and agentic collections capabilities are achieving: \n\nFaster collections cycles\n Improved cash flow predictability\n Lower bad debt risk\n Better customer experience\n Scalable operations without added cost \n\n👉 Register now to secure your spot in Session 2
URL:https://www.emagia.com/live-demo/autonomous-collections-predictive-collections-with-ai-agents/
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