Billtrust has added artificial intelligence (AI) powered collections agentic procedures to its automated collections software, Collections.
The new Collections Agentic Procedures helps finance teams collect by learning from every customer interaction and recommending the most effective outreach strategy, the company said in a Thursday (Nov. 6) press release.
Collections Agentic Procedures is powered by Billtrust Insights360, an embedded AI layer within the Billtrust platform that analyzes buyer behavior and delivers actionable insights, according to the release.
With this network-wide behavioral data, Collections Agentic Procedures can segment buyers by risk and payment behavior and then recommend the optimal timing, frequency and channel for outreach to each segment, per the release.
By enabling precision outreach, preventing over-contact and minimizing friction, this solution delivers higher recovery rates and an improved customer experience, the release said.
“By combining behavioral segmentation with AI-optimized outreach, we’re helping finance teams reduce manual workloads while driving materially higher recovery rates,” Billtrust Chief Product Officer Lee An Schommer said in the release. “This isn’t incremental automation — it’s a new standard for intelligent collections that balances efficiency with customer experience.”
In another recent enhancement to its Collections solution, Billtrust said in July that it added AI-powered agentic email, dispute management, credit review and collections analytics.
“We’re delivering the future of collections — intelligent, automated and customer-centric,” Billtrust CEO Sunil Rajasekar said at the time in a press release.
Billtrust has focused on incremental, intelligent upgrades across the accounts receivable function, Billtrust Vice President of Product Dave Ruda told PYMNTS in an interview posted in August.
“You can’t AI everything,” Ruda said. “There’s no such thing. It’s more, ‘where do we see the most amount of human-in-the-loop manual effort, and how can we make that robotic’ — then eventually move to human-on-the-loop, which requires visibility.”
The PYMNTS Intelligence report “How Agentic AI Went From Zero to CFO Test Runs in 90 Days” found that nearly 7% of U.S. enterprise chief financial officers have deployed agentic AI in live finance workflows, while another 5% are running pilots.
The report found that businesses that saw the most positive return on investment from generative AI are also proving the quickest to adopt its agentic offshoot.
Source: https://www.pymnts.com/