Chasing overdue invoices often creates friction for collections teams, draining productivity and straining customer relationships. Agentic artificial intelligence (AI) can transform this dynamic by automating processes, enabling businesses to manage aging accounts more efficiently. Billtrust’s Dave Ruda explains that agentic AI structures data from ERP systems, allowing for targeted outreach based on customer profiles and spending patterns. This approach helps prioritize customer accounts, moving past generic outreach to personalized engagements, ultimately enhancing collections efforts.
By automating routine tasks, AI allows collectors to focus on high-value conversations and improves dispute resolution by predicting potential issues. Furthermore, merging credit reviews and collections can turn finance departments into profit centers. Billtrust’s AI models are tailored to deliver accurate, customer-specific recommendations, incorporating human feedback to refine communication styles. With robust governance and privacy measures in place, Billtrust’s agentic AI seeks to make collections a strategic asset for building customer trust and driving business growth.
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