Chaseit.ai is bringing AI-driven automation to loan servicing with the launch of its voice-agent platform, enabling lenders to handle high-volume borrower interactions without relying on large call centre teams.
The labour-intensive world of loan servicing is entering a new era of automation as Chaseit.ai, a fintech startup based in Lithuania and the UK, officially launches its AI voice-agent platform. Just seven months after its founding, the company has successfully moved from pilot programs into live production, already managing over 20,000 automated calls per day. With its current trajectory, the firm expects to scale these volumes toward 30,000 daily interactions as it expands its footprint across the European financial services market.
Manual call centres have traditionally been the backbone of debt collection and borrower support, often requiring massive teams to handle routine reminders and inquiries. Chaseit.ai estimates that its current daily volume of 20,000 calls would typically require approximately 100 human agents. By automating these high-volume inbound and outbound interactions, the platform allows lenders to significantly reduce operational overhead while maintaining a consistent level of service for their borrowers.
One of the first enterprise adopters of this technology is the Eleving Group, an international financial technology company listed on the Frankfurt and Riga stock exchanges. Following a successful pilot, the group is now utilising these voice agents across multiple languages and markets. This deployment underscores the platform’s maturity, which was built specifically for the rigorous demands of the lending industry rather than as a general-purpose voice tool.
The architecture of the platform reflects a deep understanding of banking workflows and regulatory requirements. These AI agents can verify customer identities, remind borrowers of upcoming payments, and even negotiate repayment plans within strict guidelines set by the lender. Because the system is context-aware, it can reference previous conversations with a specific borrower while ensuring that data remains strictly siloed for privacy. If a case becomes too complex for the machine to handle, the system automatically escalates the interaction to a human specialist.
Lukas Kairevičius, a co-founder of the firm, stated that the focus from the beginning has been on depth within the lending niche. He explained that loan servicing requires a specific understanding of lender workflows and customer context that generic AI cannot provide. This industry-specific focus is reflected in the founding team, which includes alums from JPMorgan, Revolut, and Contrarian Ventures. Their combined experience in global banking and high-growth fintech allowed them to identify the massive inefficiencies in how overdue loans are currently managed.
To facilitate rapid adoption, the startup offers a deployment model that does not require complex initial system integrations. Lenders can begin by uploading and exporting data via a standalone platform, enabling fast pilots and immediate results. Every call is transcribed and summarised by the AI, providing enterprises with full visibility into performance and customer outcomes. This data-driven approach allows teams to use A/B testing to optimise their scripts and timing based on real-world success rates.
The company’s long-term ambition is to evolve into a comprehensive loan-servicing platform that encompasses a wide range of standardised operations throughout the entire lending lifecycle. After raising an undisclosed pre-seed funding round following its launch, the firm is now preparing to raise a seed round in the coming months. As lenders across Europe look for ways to modernise their operations, the ability to handle tens of thousands of customer interactions with minimal human intervention is becoming a critical competitive necessity.
Key takeaways
- The platform automates loan servicing calls at scale
- AI voice agents reduce reliance on manual call centre operations
- Lenders can manage borrower interactions with greater efficiency and consistency
- Context-aware AI enables personalised and compliant conversations
- Automation is becoming critical for modernising lending operations
Photo by Petr Macháček on Unsplash
