Three Tips for Successful Automated Debt Collection

by Laura Burrows 6 min read November 9, 2023

Automation, artificial intelligence and machine learning are at the forefront of the continued digital transformation within the world of collections. And organizations from across industries — including healthcare, financial services and the public sector — are learning how automated debt collection can improve their workflows and strategies.

When implemented well, automation can ease pressure from call center agents, which can be especially important when there’s a tight labor market and retention is top of mind for every employer. Automated systems can also help improve recovery rates while minimizing the risk of human error and the corresponding liability.

These same systems can increase long-term customer satisfaction and lifetime value. Deeper insights into consumers’ financial situations and preferences allow you to avoid wasting resources and making contact when consumers are truly unable to pay. Instead, monitoring and following up with their preferred contact method can be a more successful approach — and a better experience for consumers.

Three tips for automated debt collection

Automation and artificial intelligence (AI) aren’t new to collections. You may have heard about or tried automated dialing systems, chatbots, text message services and virtual negotiators. But the following three points can be important to consider as the technology and compliance landscapes change.

1. Good automation depends on good data

Whether you’re using static automated systems to improve efficiencies or using a machine learning model that will adapt over time, the data you feed into the system needs to be accurate. The data can be internal, from call center agents and your customers, and external sources can help verify and expand on what you know.

With your internal systems, consider how you can automate processes to limit human errors. For example, you may be able to auto-fill contact information for customers and agents — saving them time and avoiding typos that can cause issues later.

External data sources can be helpful in several ways. You can use third-party data as a complementary resource to help determine the best address, phone number or email address to increase right-party contact (RPC) rates. External sources can also validate your internal data and automatically highlight errors or potentially outdated information, which can be important for maintaining compliance.

Robust and frequently updated datasets can make your collection efforts more efficient and effective. An automated system could be notified when a debtor resurfaces or gets a new job, triggering new reminders or requests for payment. And if you’re using the right tools, you can automatically route the account to internal or external servicing and prioritize accounts based on the consumer’s propensity to pay or the expected recovery amount.

LEARN MORE: Advanced analytics involves using sophisticated techniques and tools to analyze complex datasets and extract valuable insights. Learn about the benefits of advanced analytics in delinquent debt collection.

2. Expand consumers’ communication options and choices

Your automated systems can suggest when and who to contact, but you’ll also want them to recommend the best way to contact consumers. An omnichannel strategy and digital-first approach is increasingly the preferred method by consumers, who have become more accustomed to online communications and services. In fact, companies with omnichannel customer engagement strategies retain on average 89% of their customers compared to 33% of retention rates for companies with weak omnichannel strategies.

Organizations can benefit by using alternative communication methods, such as push notifications, as part of an AI-driven automated process. These can be unobtrusive reminders that gently nudge customers without bothering them, and send them to self-cure portals.

Many consumers may need to review the payment options before committing — perhaps they need to check their account balances or ask friends or family for help. Self-service options through an app or web portal can give them choices, such as a single payment or payment plan, without having to involve a live agent.

3. Maintaining compliance must be a priority

Organizations need to be ready to adjust to a rapidly changing compliance environment. Over the last few years, organizations have also had to react to changes that can impact Telephone Consumer Protection Act (TCPA) compliance.

The automated systems you use should be nimble enough to comply with required changes, and they should be able to support your overall operation’s compliance. In particular, you may want to focus on how automated systems collect, verify, safeguard and send consumers’ personal information.

Why partner with Experian?

Whether you’re looking to explore or expand your use of automated systems in your collection efforts, you want to make sure you’re taking the right approach. Experian helps clients balance effective collections and a great customer experience within their given constraints, including limited budgets and regulatory compliance.

The Experian Ascend Intelligence Platform and Experian Decisioning solutions are also making AI-driven automated systems accessible to more lenders and collectors than ever before. Taking a closer look at Experian’s offerings, we can focus on three particular areas:

Industry-leading data sources

Experian’s data sources go well beyond the consumer credit database, which has information on over 245 million consumers. Clients can also benefit from alternative financial services data, rental payment data, modeled income estimates, information on collateral and skip tracing data. And real-time access to information from over 5,000 local exchange carriers, which can help you validate phone ownership and phone type.

Tools for maximizing recovery rates

Experian helps clients turn data into insights and decisions to determine the best next step. Some of Experian’s offerings include:

  • Experian Collections Data: A one-stop shop for comprehensive and efficient debt collection, Collections Data allows you to segment, prioritize and make contact on collections accounts by leveraging speciality collection scoring models.
  • PriorityScore for CollectionsSM: Over 60 industry-specific debt recovery scores that can help you prioritize accounts based on the likelihood to pay or expected recovery amount.
  • RecoveryScore 2.0: Helps you prioritize charged-off accounts based on collectability.
  • Experian Best Contact: Find consumers based on real-time contact information. We’ve seen a 10 percent lift in RPC with clients who use Experian’s locating tool, Best Contact.
  • Collection Triggers℠: Sometimes, waiting is the best option. And with an account monitoring tool like Collection Triggers℠, you’ll automatically get notified when it makes sense to reach out.
  • RPC contact scores: Tools like Phone Number ID™ and Contact Monitor™ can track phone numbers, ownership and line type to determine how to contact consumers. Real-time data can also increase your RPC rates while limiting your risk.

LEARN MORE: See how Collection Triggers can help you establish a more profitable debt collection strategy to increase recovery rates.

You can use these, and other, tools to prioritize collection efforts. Experian clients also use different types of scores that aren’t always associated with collections to segment and prioritize their collection efforts, including bankruptcy and traditional credit-based scores.

Custom models based on internal and external scores can also be beneficial, which Experian can help you build, improve and house.

Prioritize collections activities with confidence

Collections optimization comes down to making the right contact at the right time via the right channel. Equally important is making sure you’re not running afoul of regulations by making the wrong contact.

Experian’s data standards and hygiene measures can help you:

  • Identify consumers who require special handling
  • Validate email addresses and identify work email addresses
  • Get notified when a line type or phone ownership changes
  • Append new contact information to a consumer’s file
  • Know when to reach out to consumers to update contact information and permissions
  • Recommend the best way to reach consumers

Automated tools can make these efforts easier and more accurate, leading to a better consumer experience that increases the customer’s lifetime value and maximizes your recovery efforts.

Learn more

Related Posts

Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows
2026 Retail Banking Identity and Fraud Report 

Learn how banks can convert rising fraud investment into protection customers recognize, value and feel in our recent report. Read more!

October 28, 2026 by Laura Burrows
One Platform, Fewer Handoffs, Faster Decisions

The average credit union manages between 100-300 vendor relationships, and nearly a third have no dedicated staff managing them. What was supposed to drive efficiency is stunting growth and compromising the member experience. Application volume is continuing to rise, and consumers expect a loan decision at digital speed. But for credit unions, meeting that expectation isn't the only goal. They must also continue to make the right lending decisions while also prioritizing risk management. The institutions pulling ahead aren't the ones with the most tools. They're the ones that have turned credit, fraud and decisioning into a single, coordinated system. A single loan decision touches: Credit data Identity verification Fraud signals Decisioning logic Reporting Rarely does all of that live in one place. More often, it’s stitched together across separate platforms, each with its own contract and its own support line. When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. Connect with us With more than three decades of credit expertise and one of the industry's largest data footprints, Experian helps credit unions do more than solve this year's friction. We're helping to build a decisioning foundation that scales, so growth becomes something the system absorbs, rather than something it must be rebuilt around. Explore More

October 21, 2026 by Zohreen Ismail

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe