This Fast-Growing Fintech is Using Automation to Tackle Subprime Debt Bottlenecks

Kikoff, now serving more than 2 million customers, has turned heavily to automation to address one of subprime‘s most expensive bottlenecks: debt relief.

Two AI-driven solutions — a voice-powered debt negotiator that launched in April and a dispute-automation tool it unveiled Wednesday — are already streamlining and accelerating credit repair for customers.

Instead of relying on debt settlement firms or filing disputes manually, users can now delegate both tasks to Kikoff’s AI. Testing showed the AI negotiator matched human agents in performance, closing debt relief offers independently. The dispute tool builds personalized dispute letters and handles submission.

“We introduced AI to smartly automate everything that consumers are able to do themselves,” Cynthia Chen, Co-Founder and CEO of Kikoff, told us in an interview. “Consumers just click a few buttons, and their ‘digital twin’ negotiates on their behalf.”

These features come at a critical time. With average household debt now exceeding $100,000, traditional service models often fail to meet the needs of lower-income households.

Kikoff users, who typically have around 18 derogatory marks on their credit files, see measurable improvements through technology that delivers results without adding high costs.

How Does Kikoff’s AI Disputes Tool Work

During a two-month pilot, Kikoff’s AI Credit Disputes tool facilitated over 70,000 filings. It’s now rolled out platformwide, generating FCRA-compliant, personalized dispute letters based on individual scenarios.

Users preview each letter, which reflects their stated reason for disputing an item, making the process more transparent and user-directed.

AI as Part of Core Operations

Kikoff’s use of AI extends well beyond its products. Internal AI agents handle much of the customer service chats, speeding response time and reducing human head count needs. The marketing team uses AI to develop ad creations and localize them using voice-mimicking for Spanish-speaking customers.

This model of operation is how Kikoff has expanded from 17 to 130 employees since 2021 — without raising additional funds since its Series B. Its user growth rose tenfold during that time. A number of its apps now frequently feature among leading finance categories in major app stores.

The recession has only increased demand. “The more debt people have, the more they think about their credit,” Chen said. “We’ve designed services that meet them where they are.”

Beyond Debt: Credit Building Through AI

Kikoff’s automation extends to rent and utility reporting, which allows users to build credit without taking on new loans. AI scrapes transaction data from linked bank accounts and reports consistent payments as tradelines.

The company also offers a secured credit card, launched in 2021 with Coastal Community Bank. The card functions like a debit card — with no revolving balance — ties spending limits to the user’s FDIC-insured deposit, and includes perks like cash back and early paycheck access.

AI Shakeup in Credit Repair and Debt Relief

Kikoff’s foray into AI touches a sector that’s traditionally been loathe to change. Credit repair businesses — often labor-intensive and expensive — haven’t kept pace as debt burdens grow.

Digital-first lenders like Upstart, budgeting tools like Brigit, and financial wellness apps like Chime have automated parts of lending or basic disputes, but none have tackled both debt negotiation and credit reporting disputes at this scale.

That gap created a clear opening. Kikoff’s automation of these high-friction processes reduces costs and builds a scalable model likely to influence how other subprime-focused fintechs operate.

With debt on the rise and consumers seeking self-serve, instant solutions, competitors may need to modernize fast — or risk being left behind.

Guardrails and Growing Scrutiny

Other subprime and credit repair sites seek to automate, as well. Chime, Self, and Brigit offer access or budgeting features, and Upstart uses AI to underwrite. But very few competitors automate disputes or debt settlement this comprehensively.

At the same time, regulators are beginning to look at AI’s role in consumer finance. The CFPB has expressed worry about automated decision-making in segments like credit reporting and collections.

Credit bureaus are under increasing pressure to enhance processes around disputes, and businesses introducing AI solutions in this area are likely to attract more attention from the CFPB and other regulators.

A Future for Subprime AI?

Nonetheless, it’s the AI-first strategy of credit repair and consumer interaction that differentiates Kikoff. The fintech exists within an environment that is under pressure to perform smarter, more efficiently. Both competitors and regulators are taking note of how AI is changing credit repair and compliance standards.

Chen isn’t oblivious to the dangers. Hallucinations and contextual loss can throw even the finest models off track. Kikoff trains its AI agents on tens of thousands of actual conversations, with robust protections to prevent errors or abuse.

“You want to be really prudent about what use cases you apply this to. … Not every problem is a fit for AI, but where it works, it changes everything,” Chen told us.

With more of its manual service being automated, Kikoff is presenting the subprime fintech world with a brand-new playbook. By reducing expenses without losing output, Kikoff may be establishing a standard that others have no choice but to follow.