
As regulations continue to drive more compliance efforts from financial institutions, evaluating software solutions has become even more time-consuming. Fines, legal actions, and reputational damage from non-compliance can have a far-reaching impact on an institution’s bottom line. Enter agent assist software. A technology that not only supports compliance but also enhances efficiency. However, vendor research

Call quality can make or break customer retention rates. Or even sales if you think about every agent on the phone. For this post, we will focus solely on support and service. If you’re looking for more sales-related help, check this out. For operations leaders, ensuring that their teams deliver high-quality, efficient, and empathetic service

The performance of call center agents directly impacts your top and bottom lines. With customer expectations continually rising, ensuring peak agent performance is more essential than ever. One way forward-thinking organizations are addressing this need is by leveraging innovative technologies, including agent assist tools and advanced analytics. This blog explores how companies can maximize call

Debt collection agencies and law firms face mounting pressure to stay compliant with ever-changing regulations. The rise of automation and artificial intelligence (AI) has added new layers of complexity, with decision-makers needing to balance innovation with adherence to stringent compliance requirements. Understanding how automation can aid in call compliance is essential for these organizations as

Leaders play a vital role in managing customer expectations and satisfaction regardless of whether they talk to them over the phone or not. Whether you’re in financial services, insurance, or home services, the competition is fierce. Customer expectations are higher than ever and achieving exceptional customer satisfaction is no longer just a nice-to-have… it’s a

Over the past six months, we’ve seen a change in the marketplace. But instead of just telling you there has been a change, we are revealing the details so that you can put them into action today. If you’re interested in our 2023 Market Study, view that here. 1. Customer satisfaction rates increased by 22%

In the complex world of call center management, the quest for the perfect KPIs to measure agent performance is often pursued. However, most leaders fail without knowing it. The pursuit often leads to confusion and inefficiency rather than clarity and productivity. During an episode of the Contact Center KPI podcast, Chris Crosby, Founder and CEO

The gig economy has reshaped various industries by offering flexibility and autonomy to workers while meeting the demand for scalable labor solutions. The concept is widely recognized in sectors like transportation and food delivery with giants like Uber and DoorDash leading the charge. However, an emerging frontier for the gig economy is in the realm

Key performance indicators (KPIs) like service level and occupancy are pivotal when it comes to measuring operational efficiency and customer satisfaction in call centers. However, striking the right balance between those two KPIs for your call center is where the challenge lies. This post will explore the importance of service level and occupancy, their interplay,

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.

PHOENIX, May 28, 2024 /PRNewswire/ — Abstrakt Corp, a real-time call guidance and automated QA software, announced that the company now integrates with the leading cloud contact center software provider, Intelligent Contacts. This collaboration aims to bring transformative solutions to the financial services and collections industries, enhancing efficiency, compliance, and the overall customer experience. “Our partnership with Abstrakt pairs

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