Adira Finance, one of Indonesia’s largest consumer‑finance firms, announced that its partnership with AI‑focused startup AI Rudder has begun delivering measurable savings and higher repayment rates. The collaboration, now in its fourth year, centers on a voice‑AI agent that automates outbound loan‑payment reminders and handles two‑way conversations with borrowers in their native language.
A voice‑driven upgrade to collections
The core of the deployment is AI Rudder’s “AI Voice Agent,” a conversational engine built on natural‑language processing, speech‑recognition and machine learning models. The agent initiates calls to borrowers, delivers payment reminders, and responds to spoken queries in real time. By converting a traditionally manual outbound‑call process into an automated, human‑like dialogue, Adira Finance expects fewer missed payments and a reduction in the labor required to manage collections.
Quantifiable operational benefits
While the company has not disclosed exact cost figures, it reported a “significant reduction” in operational expenditures linked to the voice‑AI rollout. The automation also mitigates the risk of late payments by prompting borrowers to settle debts during the call, a step that historically relied on human agents and often suffered from inconsistent follow‑up.
Executive perspectives
“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.
“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,” he added.
AI Rudder’s Country Manager for Indonesia, Michael Ignetius Kauw, emphasized a principle that guides the partnership:
“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.”
Technical underpinnings
The AI Voice Agent leverages a stack that includes:
- Speech‑to‑text and text‑to‑speech modules capable of handling Indonesian dialects and regional accents.
- Context‑aware dialogue management, allowing the system to maintain conversational flow across multiple user intents.
- Scalable cloud infrastructure, which AI Rudder claims can process millions of calls per day, ensuring the solution can grow alongside Adira’s expanding borrower base.
These components collectively enable a “natural, two‑way conversation” that mirrors human interaction while retaining the speed and consistency of an automated system.
Strategic positioning in Indonesia’s fintech landscape
Indonesia’s financial services sector is rapidly adopting AI to improve efficiency and reach underserved customers. By integrating voice‑AI into its collections workflow, Adira Finance not only cuts costs but also strengthens its financial services positioning against rivals that still rely on legacy call‑center models.
The move aligns with a broader industry trend toward large‑language‑model (LLM)‑powered services. Adira Finance has indicated plans to incorporate LLMs into future AI initiatives, aiming for even richer, context‑aware interactions that could extend beyond collections to onboarding, product recommendation and support.
Implications for enterprise AI adopters
Adira’s experience offers a practical case study for enterprises evaluating voice‑AI for operational automation:
- Scalability: The ability to handle high call volumes without proportional staffing increases demonstrates a clear ROI pathway.
- Compliance and localization: Supporting local languages and dialects is essential in emerging markets, and AI Rudder’s platform appears to meet that need.
- Human‑in‑the‑loop design: By positioning AI as an augmentation rather than a replacement, the partnership respects regulatory expectations and workforce considerations.
Looking ahead
The partnership’s next phase will explore LLM integration, potentially enabling more nuanced borrower interactions, such as personalized financial advice or dynamic repayment scheduling. If successful, the combined AI stack could become a template for other Indonesian lenders seeking to modernize legacy processes.
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