Featured Resources
A Folklore: Are Female-Presenting Voices Really More Effective?
Conversational AI vendors often claim that female-presenting voices engage consumers better and resolve more accounts. Neither the published literature nor live deployments support the claim. This preliminary research note sets out the evidence, and why Krew will not choose a voice to trade on a gender stereotype even if it did work.
Read whitepaperBPO Case Study: 9x ROI from Efficiency Streamlining Efforts
How a high-volume servicing and collections BPO, burned by a failed AI rollout, realized a 9x ROI with Krew, while resolving half of servicing requests with no human involved.
Read whitepaperWhen Is the Best Time to Engage?
A per-consumer timing model, validated on production traffic. Every outbound operation has a folk theory of when to call, and it is rarely tested. This preliminary research note builds a model that ranks the coming week’s slots for each consumer, checks it against the dials that came after it was trained, and finds that the lift is in the hour for a particular person, not in the hour.
Read whitepaperDoes Channel Sequencing Matter?
What calls, texts and emails do, and in which order. Contact cadences are widely sold, but the evidence behind them is rarely published. This preliminary research note follows every call, text and email on the accounts of the firms that opted in, and asks which order and mix of channels goes with more engagement and more recovery.
Read whitepaperWhom Should You Dial?
Every outbound operation has more accounts to reach than attempts to reach them with, and the usual answer is a queue. This preliminary research note builds a score of how likely the next dial is to reach the consumer, tests it on the calls made after it was built, and finds that the consumer’s own attempt history tells the workflow whom to call next.
Read whitepaperAI Primer for Financial Services Institutions
95% of AI pilots fail - but the financial institutions that get AI right will redefine the next decade of consumer finance. This primer is a a concise guide focused on what matters most for governance, compliance, and long-term strategy.
Read whitepaperArticles
Global Revocation of Consent After the FCC’s January 2026 Extension
For the last year, many receivables teams have treated “global revocation” as the next big compliance deadline. That was directionally right, but it is no longer the full story. On January 6, 2026, the FCC extended the effective date of the most operationally disruptive piece of the rule, the part of section 64.1200(a)(10) that would require callers to treat an opt-out made in response to one type of informational message as applying to all future robocalls and robotexts from that caller on unrelated matters. The new effective date for that limited requirement is January 31, 2027.
Read articleHow can AI Reduce Operational Costs for 1st and 3rd Party Receivables Teams?
Delinquency management remains one of the most expensive and resource-heavy functions for 1st and 3rd party receivables teams. Staffing call centers, managing turnover, training agents, and monitoring compliance all add significant operational costs to recovering delinquent accounts. At the same time, rising delinquency volumes and customer expectations for faster, more flexible engagement make it increasingly difficult to scale collections operations without driving costs higher.
Read articlePermissible Voicemail Messages for LCMs (Limited-Content Messages)
As call-screening on modern iPhones routes unknown numbers to transcription, voicemail is the touch consumers actually see. Below, we cover what a compliant LCM contains and how Krew supports teams with data, templates, and QA to operate within required compliance standards.
Read articleEmpathy at Scale: How can AI Improve the Customer Experience in Credit Servicing?
In credit servicing, empathy isn’t just a nice-to-have - it’s often the difference between a repayment and a broken relationship. The way an overdue borrower experiences outreach can define whether they respond positively, disengage entirely, or escalate frustrations. Collections teams have long worked to balance firmness in recovering payments with efficiency and empathy—striving to preserve customer relationships and drive stronger repayment outcomes. Today, AI Collections Workers are making this balance easier to achieve. By combining advanced natural language processing (NLP) and deep learning technology with omnichannel communication, these intelligent agents deliver empathetic debt collection experiences at scale, across voice, text, and email. At Krew, we see AI bringing empathy, consistency, and compliance to every customer interaction, driving cure rates.
Read articleHow does iOS 26 Call Screening affect Receivables Outreach?
Global Revocation of Consent
As businesses prepare for the next wave of consumer-centric communication rules, one of the most significant changes on the horizon is the FCC’s global revocation requirement under the Telephone Consumer Protection Act (TCPA). Effective April 11, 2026, this rule will alter how organizations, including collections professionals, handle consumer opt-out requests.
Read articleAI Receivables Workers for Higher Education Institutions
In today’s landscape, higher education institutions face mounting pressures to manage small-balance arrears, alumni donations, and other receivables - all while delivering an empathetic, student-centric experience. Traditional receivables teams are often stretched thin, relying on manual outreach and juggling compliance requirements that leave precious resources tied up in administrative busywork. Enter AI Receivables Workers: a new class of digital agents that operate 24/7, speak multiple languages, and integrate seamlessly with your existing systems to drive down costs and boost recovery rates.
Read articleAI Members Solutions Workers for Credit Unions
As credit unions strive to balance strong financial performance with exceptional member experience, many are exploring AI for member solutions to optimize operations without sacrificing the personalized touch that drives Net Promoter Score (NPS) and member loyalty. By adopting AI to automate receivables, credit unions can transform time-consuming outreach into seamless, empathetic engagements - so your staff can focus on high-value interactions, while members spend less time on the phone and more time enjoying the benefits of membership.
Read articleEvaluating AI Workers in the Receivables Industry
As receivables teams look to boost efficiency and customer satisfaction, large language models (LLMs) like GPT-based chatbots are an exciting frontier. But before you hand over your most sensitive outreach to an AI agent, you need a straightforward way to vet providers - and make sure their tech lives up to your goals, compliance standards, and customer-care values. This guide gives you an 6-step framework for evaluating any AI partner in collections, without diving into code or AI research papers.
Read article