Jakarta, June 30 2026 – A three‑year partnership between Indonesia’s leading consumer‑finance provider consumer finance Adira Finance and AI‑driven automation specialist AI‑driven automation AI Rudder is now delivering measurable savings and a smoother borrower experience through an AI‑powered voice assistant.
AI meets collections: a new chapter for Indonesia’s biggest consumer lender
Adira Finance, which commands a dominant share of Indonesia’s motor‑vehicle and consumer‑goods credit market, announced that its deployment of AI Rudder’s Voice Agent has materially reduced the cost of running its collections operation. The solution, now handling millions of outbound calls per month, automates reminder calls for loan repayments and engages borrowers in two‑way, natural‑language conversations.
“Innovation, technology, and continuous improvement must always move forward. The synergy between Adira Finance, particularly our Collections function, and AI Rudder is extremely important, as AI technology will continue to play a key role in enhancing our customer experience,” said Nyoman Riyanto, SE., MM, Head of Desk Collection at Adira Finance.
The collaboration, which began in 2023, has progressed from pilot‑stage voice prompts to a fully conversational AI that can answer borrower queries, confirm payment details, and even schedule follow‑up actions—all without human intervention.
Why voice AI matters for loan collections
Traditional collections in Indonesia still rely heavily on manual outbound calls, a process that is both labor‑intensive and prone to inconsistencies. With a borrower base spread across more than 17,000 islands, reaching customers in their preferred language and at convenient times has been a persistent challenge.
AI Rudder’s Voice Agent leverages natural language processing (NLP), speech‑recognition algorithms, and machine‑learning models to understand spoken Indonesian—including regional dialects—and respond in a human‑like tone. The platform can:
- Initiate reminder calls at optimal times based on borrower behavior data.
- Conduct a two‑way dialogue that confirms the amount due, offers payment options, and records intent to pay.
- Escalate complex cases to human agents only when the AI determines that a higher level of assistance is required.
By automating routine reminders, Adira Finance reports a noticeable dip in late‑payment rates while simultaneously trimming the headcount needed for outbound dialing teams.
Cost efficiency quantified
While the press release did not disclose exact figures, Adira Finance described the impact as “significant operational cost reduction.” Industry analysts estimate that a fully automated voice‑outbound program can cut labor expenses by 30‑40 % compared with a fully staffed call center, especially when call volumes reach the millions‑per‑day scale that AI Rudder claims to support.
The financial benefit is amplified by the reduction in human error and the ability to run the same script across multiple languages without additional translation costs. For a lender that processes roughly 2 million loan accounts annually, even modest savings per call translate into multi‑million‑dollar efficiencies.
AI Rudder’s broader AI strategy
AI Rudder positions itself as more than a voice‑automation vendor. The company emphasizes ongoing research and development aimed at expanding its AI capabilities across the fintech stack. According to its spokesperson, Michael Ignetius Kauw, Country Manager for Indonesia, “The key to successfully delivering AI solutions that reduce operational costs and enhance customer experience lies in one core principle: AI should empower people and improve human performance—not replace people.”
The firm’s roadmap includes integrating large language models (LLMs) to enable even richer, context‑aware conversations. By moving beyond scripted prompts, LLMs could allow the Voice Agent to handle a broader set of borrower inquiries—from balance checks to dispute resolution—without needing extensive rule‑based programming.
The strategic fit for Adira Finance
Adira Finance has been on a digital transformation trajectory for several years, rolling out mobile apps, digital onboarding, and data‑driven credit scoring. The Voice Agent aligns with its broader “digital‑first” mantra, providing a scalable front‑end that can be layered onto existing CRM and loan‑management systems.
Riyanto highlighted the importance of the technology for the Collections function: “Moving forward, AI Rudder and Adira Finance must continue to innovate together to create a more effective and efficient customer experience that meets the evolving demands of digital transformation.”
In practice, the Voice Agent’s ability to handle high‑volume, low‑complexity interactions frees human collectors to focus on high‑value, high‑risk cases, potentially improving overall recovery rates.
Industry context: AI adoption in Southeast Asian fintech
Indonesia’s fintech sector has been a hotbed for AI experimentation, driven by a young, mobile‑savvy population and a regulatory environment that encourages digital financial services. The Financial Services Authority (OJK) recently issued guidelines on the ethical use of AI, emphasizing transparency, data privacy, and consumer protection—requirements that AI Rudder’s platform appears designed to meet.
Across the region, lenders are turning to AI for credit underwriting, fraud detection, and customer service. However, voice‑based AI remains relatively under‑utilized, especially for outbound collections. Adira’s move could signal a shift, encouraging other lenders to explore similar solutions as they grapple with rising operational costs and the need for consistent borrower engagement.
Potential challenges and risk considerations
Despite the apparent benefits, deploying AI in a compliance‑heavy domain such as loan collections raises several concerns:
- Regulatory compliance: The OJK’s AI guidelines mandate clear disclosure when a conversation involves an AI system. Ensuring that borrowers are aware they are speaking with a bot is essential to avoid regulatory pushback.
- Data privacy: Voice recordings and transcriptions contain sensitive personal data. Robust encryption and strict access controls are required to meet Indonesia’s Personal Data Protection Act (PDPA).
- Consumer perception: While many Indonesians are comfortable with automated services, a segment may view AI‑driven calls as impersonal or intrusive, potentially harming brand perception if not managed carefully.
Adira Finance’s public statements suggest that it has addressed these issues through transparent scripting and secure data handling, but the long‑term consumer response will be a key metric to watch.
Analyst view: Competitive implications
From a market‑watch perspective, the partnership gives Adira a tangible edge over rivals such as BCA Finance and Mandiri Tunas Finance, which have yet to announce comparable voice‑AI initiatives. By reducing collections costs and improving repayment discipline, Adira can potentially offer more competitive loan pricing or expand its credit portfolio without proportionally increasing overhead.
Moreover, the collaboration showcases a viable model for fintechs to partner with specialized AI firms rather than building in‑house solutions from scratch—a trend that could accelerate as AI talent remains scarce in the region.
Looking ahead: LLMs and the next wave of conversational finance
AI Rudder’s roadmap mentions the integration of large language models to deepen conversational capabilities. In practice, this could enable the Voice Agent to:
- Interpret nuanced borrower intent, such as negotiating payment deferrals.
- Offer personalized financial advice based on the borrower’s repayment history.
- Seamlessly switch between voice and text channels, creating an omnichannel experience.
If successfully rolled out, these enhancements would push the technology from a transactional reminder tool to a full‑fledged virtual collections advisor, blurring the line between automated service and human interaction.
Bottom line
Adira Finance’s adoption of AI Rudder’s Voice Agent marks a concrete step toward operational efficiency and customer‑centric collections in Indonesia’s high‑growth consumer‑finance market. The partnership underscores how AI can deliver cost savings while maintaining—or even improving—borrower engagement, provided that regulatory and privacy safeguards are rigorously applied.
As AI continues to mature and LLMs become more accessible, the voice‑AI model pioneered by Adira and AI Rudder may become a benchmark for other lenders seeking to modernize their collections processes without sacrificing compliance or customer trust.
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