Directory of AI voice agents for debt collection and loan servicing

AI Rudder runs outbound and inbound voice agents for lenders and consumer finance companies across Asia Pacific, automating natural two way conversations that would otherwise fall to call centre staff. Its agents are powered by Voyager, a proprietary large language model the company built specifically for the financial services industry, which it says handles complex unstructured data and performs real time reasoning with contextual understanding rather than following scripts. Named deployments cover customer verification during loan origination and proactive debt collection, including across a Malaysian consumer finance company's dealer network, reached through a channel partnership with the country's leading lending software vendor. Clients include a major Indonesian buy now pay later provider, a large Indonesian consumer finance company and a listed Chinese lender.

AviaryAI runs outbound voice agents for credit unions, community and regional banks and insurers, addressing a market where by its own count only 18 percent of financial providers make proactive calls at all. Agents handle collections, member welcome and onboarding, loan document follow up, card activation including completing it on the call, cross sell campaigns and outreach before digital banking migrations, with a separate knowledge product answering staff questions internally. It runs on a proprietary model trained on financial services data rather than a general purpose one, and its compliance architecture is unusual: independent safety models supervise agents for call transparency and adapt to regulatory change, every call is audited afterwards, outbound calling is built to the telephone consumer protection statute, and staff are notified through their own collaboration tools for approvals, warm transfers and exceptions. The team previously built a debt negotiation assistant used by over 80,000 consumers.

Domu AI runs generative AI agents that conduct financial servicing conversations across voice, SMS and email for banks, fintechs, buy now pay later providers, insurers, loan servicers and business process outsourcers, covering loan servicing, collections, recovery and customer operations. A behavioural intelligence layer decides which account to contact, when and on which channel, and adapts the approach during the conversation rather than running a fixed schedule. Founded in 2024 by Nick Diaz and Camila Zancanella, it went through Y Combinator in the summer 2024 batch, employs roughly fifty people in San Francisco and has raised a 25 million dollar Series A led by Standard Capital. It names Nu, DigniFi and Alorica as customers and states it works with eight of the twenty largest banks and insurance companies in the Americas. Its oversight design is unusually explicit and is split across three named modules at three points in the lifecycle: Alex stress tests conversation flows against Fair Debt Collection Practices Act and Telephone Consumer Protection Act boundaries in a synthetic environment before the agent speaks to anyone and restricts it to an approved repository of data, Taylor holds the live conversation on script with adaptive tone control, and Jordan audits live conversations after deployment against unfair, deceptive or abusive acts and practices standards and state specific collection law, flagging policy drift and producing evidence for examiners. Every supported conversation is monitored, required disclosures are delivered automatically and consent state is tracked in real time, with conversations routed to a human supervisor when they move beyond preset parameters and human sign off required on high stakes decisions. Published outcomes include a three percent liquidation improvement at SBS Insurance within two months, one million dollars recovered for Skandia, a forty percent lift in right party contact rate at BNP Paribas and a forty six percent reduction in cost per account resolved. It states it holds SOC 2 Type II and PCI, and is an integration led platform requiring core banking connectivity rather than a plug and play voice bot.

EVE.calls runs conversational voice agents that handle high volume outbound and inbound calling for regulated industries, and sells a separately named Debt Collection AI Agent to lenders and collection operations alongside its banking, healthcare, government and retail lines. The collections product opens early stage payment reminders, works mid and late stage follow up, retries debtors who have stopped answering or changed numbers by varying call timing, confirms payment dates and answers routine questions, and hands uncommon situations to a human collector through an integration with the client's existing call centre software so the agent picks up mid conversation. Scripts and call settings are configured to the applicable rules, stated as covering the Fair Debt Collection Practices Act, the Telephone Consumer Protection Act and the General Data Protection Regulation, and every call is logged. Founded in 2016 by Alex Skrypka and recorded by an analyst database as headquartered in Boston, with further offices in the United Kingdom and Ukraine, the company states it has automated more than 300 million calls across nine countries for over 70 enterprises and 200 small and mid sized businesses, with capacity of ten thousand calls an hour and a 99.95 percent uptime service level. Named customers include Ukrgasbank, a top three Ukrainian bank that is 95 percent state owned, and CreditKasa, a consumer lender, alongside non financial references including OLX Ukraine and KFC. The speech stack is proprietary, using neural noise separation to distinguish the caller from background sound, and the company publicly argues against building phone agents on general purpose chat models, offering instead to adapt pre trained language models to a customer's own data. It is accelerator backed rather than venture funded and publishes no security certification, no model documentation and no pricing.

Floatbot builds voice-first conversational agents for collections, lending, banking and insurance, with its collections agent designed to run debt recovery conversations end to end. Its distinguishing capability is conduct compliance built into the call itself: mandatory disclosures delivered at the right moments including debt collector identification, call recording notices, mini-Miranda warnings and state payment restrictions, with automatic tracking of contact frequency against federal limits, calling-hour enforcement, real-time consent capture and a transcribed, timestamped record of every interaction. It reports collections agencies achieving 99.7 percent compliance audit scores against 82 to 88 percent for human-only teams. Proprietary voice pattern analysis detects caller stress in real time and hands off to a human agent with full context, and agents can calculate settlements and adapt approach to a debtor's hardship.

Fundamento, formerly Skillr, runs voice agents across the whole lending relationship for banks, non bank lenders, fintech lenders and insurers, covering loan discovery and lead engagement, pre qualification, onboarding calls, servicing, support and collections. Agents converse in more than 30 languages, retain context across the lifecycle and screen borrowers for intent and basic eligibility before passing qualified cases to human staff. One deployment pattern is distinctive: when an applicant stalls on a digital form, often because it is in English and they are not a native speaker, the agent calls them, resolves the problem in their own language and returns them to the journey. The platform is interface first and no code, and can run in the customer's cloud or on their own servers.

Kompato AI runs generative voice agents for debt collection, serving first-party lenders recovering pre-charge-off accounts and debt buyers pursuing post-charge-off recovery. Named agents conduct unscripted outbound calls with payment plan negotiation, and the platform analyses debtor portfolios, predicts payment behaviour, scores accounts by repayment likelihood and selects channel and timing per debtor across voice, SMS, email and digital. It reports resolving 96.4 percent of queries with 3.6 percent escalated to human agents, and scaling from ten thousand to over a million accounts in 45 days. Its central design claim is compliance-as-code, embedding federal debt collection, telephone consumer and Regulation F rules including contact frequency limits directly into communication workflows rather than relying on agent training. It is a licensed collection agency operating on an outcome-based fee model, and holds three security certifications.

Prodigal builds agentic AI for consumer loan servicing and debt collection, running on the Prodigal Intelligence Engine, an internal platform the company states is trained on half a billion consumer finance interactions and used to carry context across its applications. The suite spans proAgent, an autonomous voice agent, proCollect for omnichannel engagement, proAssist as a real time agent copilot, proNotes for automated call documentation, proInsight for conversation analytics and compliance quality assurance, proPay as a payment portal, and scoreGenie and trainGenie for agentic quality assurance and training workflows. The company describes embedding compliance by programmatically encoding each customer's own regulatory requirements into guardrails that govern all operations. It serves more than 100 financial companies across North America spanning collection agencies, direct lenders, credit unions, auto finance and healthcare revenue cycle providers, and states that nearly one in five United States borrowers has engaged with its systems. Published results include up to 27 percent more digital engagement, 16 percent more payments and 30 percent greater agent effectiveness, with more than 15 million loan accounts analysed. The listed auto lender Consumer Portfolio Services announced its selection of Prodigal for collections and servicing through its own investor relations channel. Founded in 2018 in Mountain View, California by Shantanu Gangal and Sangram Raje, it has raised 14 million dollars from Y Combinator, Accel and Menlo Ventures.

Skit.ai runs autonomous voice agents for consumer debt collection, handling outbound and inbound calls including right party verification, payment negotiation and required disclosures, and positioning itself as a voice layer over an existing collections platform rather than a replacement for one. It states it has processed more than a billion consumer interactions and has raised 47.6 million dollars. Founded in India, it primarily serves large United States consumer lenders, banks and collection agencies. Its distinguishing feature is that statutory requirements are encoded as operating controls rather than described as a policy: contact eligibility, consent and timing are resolved before a number is dialled, with accounts filtered against do not call registries, bankruptcy filings, statute of limitations and known litigators, a calling window of 8am to 9pm in the consumer's local time enforced under Regulation F, and a seven contacts in seven days frequency cap applied per account. Every drafted line is screened in real time before the consumer hears it, and each record is scored, reconciled and preserved afterwards. The published responsible AI process names bias and fairness evaluation and red teaming for harmful or non compliant output, and deployments begin with a staged rollout requiring client sign off on scripts, constraints and consent flows. It holds SOC 2 Type II, PCI DSS and ISO 27001, and states that every engagement opens with a live production grade pilot to validate performance, compliance and return in real conditions.

Vodex runs generative AI voice agents for debt collection and payment outreach, built specifically around the recovery lifecycle rather than treating collections as one use case among many. Its agents handle payment reminders, overdue follow ups, failed payment chases and payment plan negotiation, verify debtor identity before proceeding, detect voicemail and adapt call flow, and warm transfer to a human collector when a call becomes complex rather than dropping into a scripted loop. Stated capacity runs from ten thousand to more than five hundred thousand calls a day, and the platform integrates with customer relationship systems, skip tracing tools and payment gateways. It is one of the few vendors in this pocket to publish a pricing page, disclosing a free tier of ten calling minutes with no card required, that price is driven by call volume, use case and integration requirements, that a setup cost may apply, and a billing basis of paying only for connected calls. Compliance positioning is built on United States collection rules including the fair debt collection and telephone consumer protection regimes, and the company holds AICPA SOC 2 and ISO 27001. Headquartered in Bengaluru and expanding into North America through collection agencies and business process outsourcers, it was founded by chief executive Anshul Shrivastava and chief technology officer Kumar Saurav, and reported reaching one million dollars of annual recurring revenue in its first year.