Loan Servicing Enters the AI Agent Era as Chaseit.ai Scales Toward 30,000 Calls a Day

WHY THIS MATTERS: The transition of specialized AI from internal pilots to high-volume production is the key inflection point for true digital transformation in financial services. For too long, the labor-intensive core of loan servicing and debt collection has remained a drag on operational efficiency for lenders globally. The emergence of platforms engineered exclusively for this complex regulatory environment—capable of handling sensitive customer interactions like identity verification and guided repayment negotiations—signals a mature application of artificial intelligence. This is not just automation; it is hyper-automation proving its viability by quantifying real-world labor replacement rates. By successfully managing thousands of daily interactions, these systems are effectively freeing up human agents to focus solely on complex, high-value cases, thereby redefining the economics of the entire lending stack. This move solidifies the trend of deeply integrated, use-case-specific AI voice agents becoming standard operational infrastructure.

Loan servicing, long one of the most manual and operationally intensive areas of financial services, is beginning to shift as AI voice agents move from pilots into live production environments.

Chaseit.ai, a Vilnius and London-based fintech startup, today announced the launch of its AI agent platform for financial services. Just seven months after founding, the company is already handling more than 20,000 automated calls per day, with volumes expected to scale further toward 30,000 daily calls as deployments expand.

One early enterprise customer, Eleving Group – an international financial technology company listed on the Frankfurt and Riga stock exchanges – is already using Chaseit.ai’s voice agents across multiple markets and languages following a successful pilot. Alongside this deployment, Chaseit.ai is actively expanding its client base with additional European lenders at different stages of rollout and markets. 

Chaseit.ai automates high-volume inbound and outbound calls across collections and customer support, integrating directly into everyday call centre operations. According to the company, handling 20,000 calls per day would typically require around 100 human agents, highlighting the operational impact and maturity of the platform so early in its lifecycle.

The company operates from headquarters in Vilnius, with team members also based in London, and is focused on expanding its presence across European financial services markets.

Built specifically for financial services

Unlike general-purpose AI voice solutions, Chaseit.ai has been designed exclusively for financial services use cases. The platform mirrors how lenders already operate, combining AI voice agents with workflows, analytics and compliance controls tailored to loan servicing.

Chaseit.ai’s AI agents can verify customer identity, remind borrowers about outstanding payments, follow up on previous conversations, negotiate repayment plans within lender-defined guidelines, and escalate complex cases to human agents when required. Each interaction is context-aware, allowing the AI to reference prior conversations while remaining strictly siloed to individual customers.

“Our focus from day one has been depth, not breadth,” said Lukas Kairevičius, co-founder of Chaseit.ai. “Loan servicing isn’t about generic conversations – it’s about understanding lender workflows, regulatory requirements and customer context. That’s why we built Chaseit specifically for financial institutions.”

Rapid time-to-value with enterprise-grade controls:

To accelerate adoption, Chaseit.ai can be deployed without complex system integrations. Lenders can upload and export data via a standalone platform, enabling fast pilots and early results before deeper integrations are required.

All calls are transcribed, summarised and analysed using AI, giving enterprises full visibility into performance, customer outcomes and success rates. Built-in A/B testing allows teams to optimise scripts, timing and workflows based on real-world data, while strict data-handling rules ensure agents only access information relevant to each individual customer.

Founding team with fintech and banking experience:

Chaseit.ai was founded in Lithuania by a team with backgrounds spanning high-growth fintech, venture capital and global banking. The founding team includes alumni of Revolut, Contrarian Ventures and JPMorgan, combining operational, investment and regulatory experience across the financial ecosystem.

The idea for Chaseit.ai emerged from first-hand exposure to the economics of consumer lending, where large volumes of overdue loans are still managed through labour-intensive call centres. The founders identified AI voice technology as an opportunity to modernise one of the most operationally critical parts of the lending stack.

Building toward AI-powered loan servicing:

While Chaseit.ai initially focuses on collections and customer support, the company’s longer-term ambition is to become a broader loan servicing platform, covering additional standardised operations across the lending lifecycle.

“What we’re building is a foundation for AI-driven loan servicing more broadly,” said Margiris Laucys, co-founder of Chaseit.ai. “The goal is to give lenders a smarter, more efficient way to handle high-volume customer interactions, while freeing human teams to focus on complex cases.”

The company raised an undisclosed pre-seed funding round following launch and plans to raise a seed round in the coming months.

FF NEWS TAKE: This is more than a simple product launch; it is a decisive move that validates the production-readiness of specialized financial AI. The rapid deployment and substantial call volume demonstrate that AI voice agents have crossed the chasm from experimental tech to mission-critical infrastructure. For the industry, this validates a model focused on deep, regulatory-compliant specialization. We will now watch for two things: how quickly this model expands across the entire loan lifecycle beyond collections, and the defensive strategy of incumbent core banking providers.

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