Technology & AI in Collections

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Technology & AI in Collections
In 2020, Pew Research Center published a finding that reframed the operational challenge facing every outbound collections program: 80% of Americans say they do not generally answer their cellphone when an unknown number calls.
That number has not improved. It has gotten worse.
Americans received an average of 2.56 billion robocalls per month from January through September 2025 — the highest level in six years, up from 2.14 billion per month in 2024. Annual robotext volume reached approximately 19 billion in 2024, nearly triple 2021 levels (PIRG, October 2025). In this environment, consumers are not avoiding debt collectors specifically. They are avoiding their phones for any number they have not saved — and collections calls are collateral damage from a scam-call epidemic that legitimate callers did not create but must now navigate.
The result: typical outbound call connect rates of 5–10% for unrecognized numbers in collections programs, with some operations reporting effective right-party contact rates at the low end of this range.
The answer rate collapse is not a single problem. It is the convergence of four independent trends that each make outbound collections harder — and that together constitute a structural challenge for voice-only collection programs.
Force 1: The Scam Call EpidemicRobocall volume has increased every year since 2022. Consumers have learned through repeated experience that calls from unknown numbers are likely to be fraudulent. Pew Research found that roughly 50% of Americans believe scam callers impersonate legitimate organizations “often.” In this environment, every legitimate collections call starts from a position of suspicion.
Force 2: Call-Screening TechnologyApple’s iOS 26 — now running on an estimated 130 million iPhones in the U.S. — includes built-in AI call screening. When an unknown caller dials, iOS 26 asks the caller to state their name and reason for calling. The iPhone transcribes the response and displays it as a notification; the consumer decides whether to answer without the phone ever ringing. Android devices have had similar capabilities through Google’s Call Screen feature for several years.
The compliance implication: the transcribed opener is now a documented record of the collector’s initial disclosure statement. Collectors whose opening statements are incomplete, evasive, or fail to meet FDCPA’s Mini-Miranda requirements are creating compliance risk in the transcription itself.
Force 3: Carrier Reputation Scoring and STIR/SHAKENFCC-mandated STIR/SHAKEN authentication (Secure Telephone Identity Revisited / Signature-based Handling of Asserted information using toKENs) requires carriers to authenticate and label outbound calls. Numbers that fail authentication, are flagged by carrier spam-detection algorithms, or are associated with high call volume relative to answer rate receive “Spam Likely” or “Scam Risk” labels before the consumer even sees them. Once a number is labeled, its effective contact rate approaches zero for all future calls.
Force 4: Communication Preference ShiftConsumer preferences have shifted materially toward digital-first interaction for administrative and financial matters. TrueAccord found that 59.5% of consumers prefer email as the first channel a business uses to contact them. Phone calls are increasingly reserved for established relationships — not unknown-number inbound communications.
Not all collections programs are affected equally by the answer rate collapse. The operations with the most severe contact rate problems share common characteristics:
Collections programs with the most resilient contact rates are those that treat voice as one channel in a documented, consent-driven omnichannel architecture — and that use predictive analytics to determine when and through which channel each specific consumer is most likely to engage.
Apple’s iOS 26 call screening creates two distinct challenges that collections operations must address separately.
The compliance dimension:When iOS 26 intercepts a call, the collector’s opening statement is transcribed. For FDCPA-covered third-party debt collectors, the meaningful disclosure (Mini-Miranda) must be delivered in the first substantive communication with the consumer. If the transcribed opener does not meet this requirement — or if it sounds evasive in print — it creates both a contact failure (the consumer declines to answer) and a potential documentation risk (the transcript exists as a record of what was said).
Collections operations should review their standard opening statements specifically for their transcript legibility. An opener that sounds professional when spoken may read poorly when transcribed and displayed as a notification to someone deciding whether to answer.
The operational dimension:iOS 26’s screening creates a brief window — approximately 10 seconds — in which the collector’s identity and stated purpose must be communicated clearly enough to motivate the consumer to answer. This is a compressed version of the same challenge that STIR/SHAKEN authentication created: the burden of proof for legitimacy has shifted from the consumer (verify the caller) to the collector (prove you’re worth answering).
The adaptation required is not a fundamental strategic pivot. It is a scripting, number hygiene, and channel-mix problem — and it is addressable. The collectors who adapt fastest will recover the contact advantage while those still running volume-based voice strategies see their effective contact rates continue declining.
The operations maintaining strong right-party contact rates in 2026 share a recognizable set of practices:
1. STIR/SHAKEN authenticated numbers with clean call reputationEvery outbound number is registered, authenticated, and monitored for carrier spam scoring. Number rotation to evade detection is avoided — it accelerates spam labeling rather than preventing it.
2. Rich call data (RCD) and branded calling where availableBranded calling programs allow the collector’s name to appear on the consumer’s caller ID, replacing “Unknown Number” with the agency or client brand. Where carriers support it, this alone increases answer rates meaningfully.
3. Digital pre-contactA compliant SMS or email sent ahead of a voice attempt — informing the consumer that a call is coming from a specific number — increases answer rates on subsequent voice attempts. The consumer has now “saved” the number conceptually, even if not in their contacts.
4. Propensity-weighted timingCalls are placed in windows when individual consumers are historically most likely to answer — not in high-volume morning dialers targeting everyone simultaneously.
5. Digital-first for the 80%The 80% who will not answer unknown calls are not unreachable. They are reachable through channels they have consented to — principally SMS and email — that deliver payment portal links and resolve accounts without voice contact at all. This is not a workaround. For a significant share of consumers, digital self-resolution is the preferred outcome.
Every one-percentage-point decline in effective right-party contact rate, across a portfolio of 10,000 active accounts, translates directly into fewer payment conversations per month. At a typical average settlement of $400 per resolved account, a 3-point contact rate decline is a material revenue gap — one that compounds monthly as accounts age and recovery probability decreases.
Collections operations that continue to run voice-primary programs without digital channel alternatives are not just experiencing declining performance. They are accelerating their own account aging curve by failing to engage consumers when the accounts are still in early-stage, higher-propensity territory.
Talk to a Redial collections compliance specialist for a structured review of your operations.