Issue 01
August 2025 How AI is Changing the Future of Work

Debt Collection: AI, Compliance, and Empathy in an Era of Rising Delinquencies

By Arjun Mitra, Head of Collections, Firstsource Tony Balon, Vice President Operations, Firstsource

As long as currency has existed, debts have been collected. At its core, debt collection is the process of navigating complex waters: managing the ebbs and flows of financial obligations without getting swept away. As we enter 2025, rising consumer debt and evolving regulatory tides are reshaping the industry’s horizon, making AI-driven empathy and proactive compliance paramount.

US consumer debt has soared to $18.2 trillion (Source: Federal Reserve), with credit card balances alone have reached $1.18 trillion thanks to rising costs, stagnant wages, and depleted savings. The Fed's report on Household Debt and Credit revealed that 7.04% of credit card debt was delinquent for 90 days or more, with the share of severely delinquent accounts (90+ days) increasing by 8.5% quarter-over-quarter to reach 12.3% of all delinquent accounts. This signals a sharp rise in delinquency severity among a significant portion of borrowers.

Similar trends are evident around the world: 44% of adults in the UK are living in financially strained conditions, while record numbers of Australian households are seeking financial help.

At the same time, regulators are tightening their regulations to protect consumers, meaning that compliance is taking center stage for financial organizations. The Consumer Financial Protection Bureau (CFPB), for example, has introduced new rules capping overdraft fees at $5 and targeting excessive "junk fees." State-specific laws like California's Rosenthal Fair Debt Collection Practices Act and New York's Consumer Credit Fairness Act add another layer of complexity for agencies navigating compliance. For more details on these regulations, refer to the CFPB website .

In the financial ecosystem, non-performing loans account for significant losses every year, making collections a non-negotiable aspect of business. But the industry has struggled with a reputation for being, at best, impersonal, and at worst, aggressive. Poor debtor engagement practices are costly: a large number of defaults and dispute rates have created stressed balance sheets for many collection organizations.

The stakes are high, but 2025 could mark a transformative year for the industry. Generative AI and advanced smart technologies are becoming cornerstones of operations, driving more personalized, outcome-focused strategies and better consumer engagement. Successful debt collection hinges on organizations — and their debt collection agencies — adopting the right tools to become more effective, compliant, empathetic, and consumer-centric.

Industry trends for 2025: AI, compliance, and consumer-centric collections

It's time to reimagine collections not as a cost center but as an opportunity to build stronger customer relationships, enhance brand reputation, and drive sustainable growth. Organizations should watch these trends closely in 2025:

  1. Hyper-Personalization: Personalization has become the cornerstone of successful debt collection, with 71% of customers expecting personalized experiences and 76% expressing frustration when they don't receive them. Modern AI-powered debt collection systems, particularly those leveraging AI are transforming engagement by meeting consumers where they are—in their preferred channel, at their optimal time, using language and tone that resonates with their specific situation.
  2. More informed consumers with higher expectations: Consumers today want to work with collections teams that are transparent, flexible, and trustworthy. They expect clear, straightforward information about their debts and repayment options and look for flexibility in repayment plans—like adjustable payment schedules or temporary relief options. Consumers also prioritize trust when collectors approach borrowers with empathy and respect, it leads to better cooperation and higher repayment rates, benefiting everyone.
  3. AI-first operations: Beyond basic automation: AI is making collections operations smarter and more efficient. From initial contact to final repayment, AI can automate every step, analyzing data to personalize each interaction and forecast which accounts are likely to default and which are ready to pay.
  4. Sustainability: Companies are not just aiming for profitability, but are embracing green practices and social responsibility. Leading companies understand that balancing profitability with responsible practices ensures long-term success.
  5. Enhanced security and privacy: With increasing digital interactions, security and privacy are critical. The industry is starting to implement more robust cybersecurity protocols to protect sensitive data from breaches and unauthorized access.
  6. Empathy and ethical collection practices: Collections are vital to a financial institution's bottom line, but they shouldn't cost you the customer. That's where empathy comes in.

Empathetic collections go beyond just handling calls. Agents need negotiation skills, emotional intelligence, and the autonomy to act. Every consumer's story is different—job loss, medical emergencies, or simply trying to make ends meet. Giving agents the authority to offer flexible terms can turn conflict into collaboration.

By shifting the approach from demanding payments to offering real support, collections teams become trusted allies, helping consumers get back on track while strengthening long-term loyalty.

Modern collections today is no longer defined solely by recovering funds. It's defined by innovative, empathetic, and tech-powered solutions that bring positive outcomes both for stressed debtors and the lending agencies.

Strategic priorities for collections in 2025

These shifts in consumer behavior, technology, and regulation demand a new approach to debt collection. The key isn't just reacting to change, but shaping the future of collections. Here are the strategic imperatives that will separate the leaders from the rest in 2025:

  1. AI-driven omni-channel experiences: deliver value through personalized & effective communication

    The why: In a world of digital noise, effectively reaching consumers in debt requires personalization and respecting preferences. AI-driven omni-channel experiences allow you to communicate with each consumer in the way they prefer, at the time they're most receptive.

    The outcomes:

    According to McKinsey, organizations using advanced AI in collections are already seeing big results.

    40% reduction in operational costs: AI-powered self-service options, like web portals, chatbots, digital dashboards with debt information, and easy online payment options, can help drive down operational costs.

    10% boost in recoveries: AI insights detect consumers' preferred communication channel and communication time, which can dramatically improve collection rates. Instead of calling during working hours, a text at 7 pm might generate better responses from a Gen-Z demographic.

    30% jump in consumer satisfaction: AI can offer real-time strategies based on ongoing consumer responses, for example, suggesting more empathetic language for consumers expressing frustration. This helps build an empathetic engagement strategy for more positive outcomes.

    Seamless experiences: True omnichannel CX means every interaction—call, email, SMS—is connected. When a consumer calls after emailing, the agent should already have full context. One unified record ensures seamless handoffs and a consistent, frictionless experience across all touchpoints.

    Data-driven precision: AI can move collections calls from a rule-based system (based on the consumer's risk segment and the number of late days) to a reinforcement learning-based system (based on consumer information, consumer behaviors, and previous collection actions) to make better decisions on when to call.

    Hyper-personalization: AI powered by deep consumer data enables hyper-personalized outreach, tailoring messages in real time based on behavior. A likely payer might just need a reminder, while a high-risk consumer may need a call and a flexible plan.

    Proactive support: AI can detect willingness to pay early and confirm intent through sentiment analysis, giving collections teams the opportunity to identify consumer profiles with a higher propensity to pay and target them with offers.

  2. Mobile-centric E2E payment solutions

    The why: Today's consumers live on their phones. Making repayment easy and convenient on mobile is no longer a "nice to have"—it's essential for maximizing recovery rates. If your end-to-end (E2E) payment journey isn't optimized for mobile, you risk lower engagement, delayed payments, and lost opportunities.

    The outcomes:

    A successful mobile-optimized E2E payment solution can enable:

    Accelerated collections: AI-powered smart payment reminders, like push notifications and SMS reminders with personalized payment links, reduce friction and drive faster settlements.

    Higher borrower satisfaction: A user-friendly mobile experience demonstrates respect for the debtor's time and preferences.

    Increased engagement: Give borrowers an easy, mobile-first way to manage accounts, make payments, and resolve disputes, with real-time access to balances, plans, and support tools.

    Reduced manual intervention: Automate the payment process, freeing up staff to focus on more complex cases.

    Secure transactions: Give consumers peace of mind with biometric login (Face ID, fingerprint) and encrypted transactions to ensure both security and user confidence.

  3. Predictive analytics-based triaging: smarter, more effective debt collection

    The why: Not all debt is equal. Predictive analytics help you prioritize high-risk accounts, enabling smarter outreach and more efficient collections, especially when managing large volumes. Focus where it counts, act when it matters most.

    The outcomes:

    Improved resource allocation: AI analyzes payment history, credit behavior, and real-time data to rank accounts by repayment risk, enabling collectors to prioritize high-risk cases and automate low-touch outreach for the rest.

    Personalized engagement: AI tailors outreach using behavioral signals—sending a simple SMS reminder to first-time defaulters, offering structured plans to habitual late payers, and directing those in distress to a dedicated hardship team.

    Increased recovery rates: Thanks to predictive analytics, behavioral AI, and generative AI, collections teams can shift from reactive, one-size-fits-all outreach to proactive, hyper-personalized engagement strategies. Intervening early in high-risk cases improves the chances of recovery.

    Enhanced compliance: AI tools can flag high-risk conversations for compliance monitoring, reducing regulatory exposure.

    Better risk assessment: AI offers integrated payment scoring that goes beyond past-due balances. Tools can incorporate payment patterns, external economic signals, and digital behavior analysis to offer an accurate risk assessment.

    Smarter conversations: Real-time AI nudges guide collectors with empathy and precision, suggesting tailored scripts or the best channel based on consumer behavior and engagement history.

  4. AI-driven compliance: minimizing risk

    The why: Compliance is non-negotiable. As regulations shift, AI can help you stay ahead of the curve.

    The outcomes:

    Reduced regulatory exposure: AI-driven automated compliance checks that flag certain conversations can reduce the risk of violations.

    Simplified audits: Comprehensive logs of all interactions (text, email, SMS, and more) make audits easier and more efficient.

    Automatic rule updates: Tools can stay up to date with the latest state and federal guidelines.

  5. Data integration and consolidation

    The why: Siloed data drives inefficient and ineffective collections. With integrated and consolidated information, you'll find a 360-degree view of every consumer to tailor your collections approach.

    The outcomes:

    Faster decision-making: Data integration tools can consolidate credit reports, payment histories, and account details into a single platform. Teams can access all relevant information seamlessly, speeding up decision-making.

    Personalization: 360-degree consumer views help you develop targeted outreach strategies.

    Improved efficiency and effectiveness: Eliminate manual data reconciliation so your team can focus on what counts—achieving better collections and recovery rates, improved customer satisfaction scores, and higher Net Promoter Scores.

  6. Efficient cloud solutions

    The why: When the financial world can change this quickly, flexibility is key. Cloud-based solutions can scale your operations up or down as needed and stay focused on the future.

    The outcomes:

    Reduced IT costs: Automatic updates and streamlined operations reduce IT overhead and the need for expensive hardware and software.

    Disaster recovery and data security: Cloud platforms have advanced security features, such as encryption, firewalls, and multi-factor authentication, that protect your sensitive information. They also offer robust disaster recovery capabilities, protecting information from natural disasters, cyberattacks, and other events.

    Increased scalability: Handle a surge in accounts or expand your operations without significant infrastructure changes.

    For large and small organizations: Small collections teams benefit hugely from cloud solutions, but large financial institutions should consider them as well. An advanced and layered enterprise-grade platform can integrate with legacy systems, handle large amounts of data, provide detailed analytics, and support multi-channel communication strategies.

Product-specific approaches for better collections

Every debt type—credit cards, loans, mortgages—has unique challenges and borrower behavior. Effective collections require tailored strategies for each to improve outcomes and the consumer experience. That's where a flexible, modular Collections-as-a-Service model comes in, offering scalable solutions built around each debt type and customer segment. How can you get started?

  • Standardized processes: Create uniform procedures for different debt types. This consistency makes training new team members easier and puts everyone on the same page.
  • Expert teams: Have dedicated teams for each financial product. Specialized knowledge leads to better negotiations, better strategies, and better outcomes.
  • Technology integration: Advanced technologies like AI and machine learning can standardize and scale personalized collection strategies across multiple portfolios. Automated systems can handle more accounts without needing more resources.
Type of loan Features of the loan Potential specialized approach Of Special Note
Credit Cards High volume, smaller balances, revolving credit
  • Quick outreach, short repayment plans, digital-first nudges
  • Offering options like lower interest rates or longer payment periods can reduce delinquencies
  • Using AI-driven insights to sort accounts based on risk level
Personal loans Unsecured debt, varied loan amounts
  • Tailored negotiation, flexible settlement options
  • Regular reminders and early interventions (like friendly texts or emails)
  • Teaching borrowers budgeting tips
Mortgages Large balances, secured by property, longer terms
  • Detailed consultative approach, refinancing solutions
  • Periodic check-ins, options for loan modification, and transparent communication.
  • Mortgages are highly regulated under federal laws like the FDCPA and CFPB rules. States may have extra requirements through laws, like California's Rosenthal Fair Debt Collection Practices Act.
Auto loans Secured by vehicle, depreciation factors, mid-range
  • Early-stage reminders, asset recovery strategies keeping communication open and offering refinancing options
  • Auto loan defaults can be affected by economic downturns or seasonal job changes. Tailoring your collection efforts to these cycles can lead to better results.

The future of collections: an empathetic approach powered by AI

Empathetic collections bring transformative results. By combining smart technology with a personalized, empathy-driven approach, organizations can enhance collection results for 2025 and beyond. A modern, efficient debt collection strategy follows a three-phase framework:

  1. Empower – Design personalized, frictionless consumer journeys with an empathy-first mindset.
  2. Evolve – Leverage AI-powered, digital-first solutions, including chatbots and real-time analytics.
  3. Endure – Establish robust compliance frameworks and adopt sustainable collection practices.

To stay ahead, collections organizations must prioritize specialized engagement strategies, regulatory compliance, and advanced technology—and that's where Firstsource comes in. We're focused on your success, so you can focus on what matters to your customers.

How Firstsource transforms debt collection:

  • Compliance, made simple – Stay audit-ready with solutions built for evolving CFPB and state regulations. Our experts combine deep regulatory and industry know-how to focus on what your business needs most.
  • Smarter, personalized outreach – AI-driven insights decode consumer behavior to tailor engagement across the customer journey, boosting repayment rates with precision.
  • Self-service that empowers – Give borrowers control with intuitive tools and flexible payment options through a secure, easy-to-use portal.

AI, automation, and empathy, Firstsource helps you boost recoveries, build trust, and future-proof collections. Connect with us to learn how.