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The Human/AI Collections Matrix
What to Automate, What to Escalate, and What Happens to the Humans Left Behind P.S. It’s free, just click the button below 🙂 Here’s a sneak peek… AI is beginning to take a larger role in collections and financial services conversations. But the most important question isn’t whether AI can make a call. It’s which…
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AI Is Taking the Easy Calls. Humans Get What’s Left.
For years, the conversation around AI in collections has mostly revolved around one question: Will AI replace collectors? It’s an understandable question. AI voice agents can make calls, answer questions, send texts, discuss accounts, and carry on conversations that would have required a human not that long ago. Some are already operating at enormous scale.…
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Using AI to Find Hidden Revenue in Your Contact Strategy
Most contact strategies were built for a different era. They were designed when data was limited, reporting was slow, and the only real way to improve performance was through trial and error. Leaders created contact schedules, trained agents on scripts, and hoped the combination of calls, texts, and emails would eventually produce results. And for…
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Building a Modern Collections Tech Stack
No one wakes up excited to replace a core collections platform. It’s expensive. It’s disruptive. And it’s rarely on the roadmap at a “good” time. Yet that’s exactly when many leaders are doing it, right in the middle of uncertainty. Compliance questions piling up. Costs rising. AI everywhere. Consumers are harder to reach. Teams stretched…
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The State of Collections Investment: Where Leaders Are Placing Their Bets
What’s changing isn’t how much collections leaders are investing; it’s where and why. Here’s the reality: If your technology roadmap focuses on activity rather than control, speed, and explainability, you’re likely investing in the wrong places. * Note: An AccountsRecovery.net webinar influenced the findings behind this post, with additional interviews from other collections leaders to…
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AI in 2026: What Should Keep Leaders Up at Night
For years, AI was discussed in extremes. Either it was going to transform everything overnight, or it was something to be feared, regulated, and postponed. Now, those narratives are no longer useful. AI is already embedded in everyday business operations. From prioritizing work, scoring risk, summarizing information, guiding decisions, and shaping customer experiences. The question…
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The Technology Divide: Why Some Industries Are Pulling Ahead
You can move money between banks in seconds. You can spin up a new software integration before your coffee cools. You can track a delivery in real time, down to the moment it turns onto your street. And yet, if you try to get your medical records, you might wait weeks. If you ask for…
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Rewriting Agent Job Descriptions
It happened at 9:02 a.m. on a Tuesday. The moment Sarah, a senior collections leader at a mid-sized financial services firm, realized her job was changing faster than her morning coffee could cool. One of their AI tools had just made its first outbound call. It had scanned payment histories, weighed risk scores, predicted intent…
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Automation or AI Won’t Fix Broken Processes
When leaders hear “AI” or “automation,” it often sounds like the cure to every operational headache, faster workflows, predictive insights, fewer manual tasks, and happier teams. But here’s the uncomfortable truth: Automation or I won’t fix broken processes – they amplify them. A flawed workflow plus automation is just a faster, more expensive flaw. Add…
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Defensive vs. Strategic Innovation: How Leading Companies Stay Ahead
Every company likes to talk about innovation. It’s a shiny buzzword, a catch-all for “we’re doing something new.” But peel back the layers, and not all innovation is created equal. Some companies innovate strategically, driven by vision, operational efficiency, and customer needs. Others innovate defensively, reacting to external pressure, regulatory changes, or competitor moves, often…
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How Teams Are Wasting Valuable Data & Insights
Most companies have a hidden landfill. It’s not outside the office. It’s buried in your systems. Every failed test, half-finished experiment, or ignored signal gets tossed in, never to be seen again. Meanwhile, your competitors are mining their landfills for gold. Here’s the uncomfortable truth: most teams already have enough data to make smarter decisions,…
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Why Collectors Need to Think Like Marketers
Debt collectors and digital marketers may not seem like they have much in common. One is focused on persuading someone to pay a bill; the other is trying to sell them a new pair of sneakers or a vacation package. But at the core, both rely on the same thing: understanding consumer intent. Marketers have…
Artificial Intelligence (AI)
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