-
Virtual Agents in Debt Collection
The rise of AI in debt collection is no longer theoretical. Virtual agents, AI-powered systems handling conversations via voice, text, email, and chat, are already shaping how organizations communicate at scale. But innovation in a regulated industry comes with high stakes. Choosing the wrong tool can mean compliance headaches, reputational damage, and wasted spend. The…
-
The Innovation Roadmap: Balancing Risk, Culture, and Change
Overview: If you’ve ever tried launching a new initiative inside a highly regulated organization, you know the feeling: a cocktail of ambition, red tape, and the soul-crushing phrase, “we’ve always done it this way.” But innovation isn’t optional anymore. The speed of technological change means you either evolve or risk falling behind. This post offers…
-
Digital Collections and the Rise of the Email-First Collector
Traditional phone-based outreach is no longer the default in collections. Consumers increasingly prefer digital communication, email, text, and chat, and they expect to resolve their accounts in the same channels where they interact with brands every day. For agencies and collectors, this shift demands more than just new tools. It requires a new kind of…
-
RPA: Practical Automation Wins for Compliance-Heavy Industries
Let’s be honest, “Robotic Process Automation” sounds more intimidating than it actually is. Despite the high-tech name, it’s less about robotics and more about freeing up your team’s time by eliminating tedious tasks. RPA is more like a reliable assembly line worker who does the same task, the same way, every time, no caffeine required. …
-
Your Guide to Confident Tech Adoption
Use this checklist to assess your organization’s preparedness for adopting new technology and to guide a successful implementation process. Define Objectives Stakeholder Engagement & Requirements Plan for Risk and Compliance Requirements Download the checklist to see sections 2-6.
-
How to Recover When a Call Goes Sideways
In collections, no two calls are the same. Some go smoothly. Others? Not so much. How you respond matters more than what you say next when things go sideways. This post breaks down how collectors can react in the moment and how supervisors can support their team to be ready for when it happens. If…
-
How to Train Your Staff to Use LLMs
LLMs are AI tools that generate human-like text. Employees may already be using them, knowingly or not, to write emails, summarize content, or generate ideas. We put this guide together to help ensure your staff uses them safely and effectively. LLMs are helpful, but careless use can lead to data leaks, legal issues, or inaccurate…
-
13 Collections Call Objections
I wish the entire call was as easy as the first 30 seconds. Confirming the person on the other end and stating why you’re calling are easy. What comes next, you have no idea. In a matter of seconds, you need to blunt their knee jerk reaction, mentally process the objection, and say something moderately…
-
The Hidden Costs of Not Using AI in Your Contact Center
In today’s highly competitive market, contact centers must balance cost efficiency with delivering fast, high-quality customer service. While AI-powered solutions have transformed many industries, some businesses remain hesitant to implement them due to concerns about complexity, disruption, or budget constraints. However, the real risk isn’t adopting it, it’s the hidden costs of not using AI. …
-
Scaling Your QA Process Without Adding Overhead
If you’re managing quality assurance (QA) in any industry, you’re probably feeling the pressure. Compliance regulations are only getting stricter, customer expectations are rising, and interaction volumes are growing. Meanwhile, your QA resources remain the same, or worse, you’re being asked to do “more with less”. Sound familiar? So how do you scale your QA…
-
Reasons You Don’t Need Agent Assist Software
As many operations leaders know, AI is a hot topic. But agent assist software isn’t anything new. But with the advancements in natural language processing (a branch of AI), agent assist has taken off and for the better. It’s been proven to improve customer service and boost agent productivity, making agents more effective and efficient.…
-
Large Language Models, Transformers, and Charades
Large language models (LLMs), in particular GPTs, have captured the world’s attention over the last few years and led the field of Natural Language Processing (NLP) into its new and improved stage of evolution. While LLMs may be based on several different neural network architectures, such as transformers and convolutional and recurrent architectures, most of…
Artificial Intelligence (AI)
Abstrakt was built to solve your problems.
