This article is part of the monthly APAC AI Radar series, highlighting recent AI innovations and key company updates from various companies across the Asia Pacific. This edition will dive into Indonesia and their latest AI deployments to support business executives. Read more and uncover how Indonesia’s technology leaders aim to shape their AI initiatives and strategic plans.
| Deployment/Initiative |
| Mekari has launched Airene, an AI-powered assistant integrated into Mekari Talenta (HR), Mekari Qontak (customer relations), and Mekari Jurnal (finance). Powered by OpenAI, Airene enhances operational efficiency through real-time analytics, automated report generation, and AI-driven recommendations. By streamlining decision-making process, Airene helps businesses optimize processes and reduce costs |
| Nexmedis integrates AI-powered Clinical Decision Support (CDS) into Indonesia’s healthcare system, providing instant, data-driven diagnostic recommendations. Backed by the Ministry of Health, Nexmedis enhances consultation efficiency, reduces misdiagnoses, and ensures equitable healthcare access, especially in remote areas. |
| Sahabat-AI, developed by Indosat, GoTo, and NVIDIA, is Indonesia’s first large-scale LLM designed for multi-industry applications. Trained on local languages, it supports several industries by enabling AI-driven automation, predictive analytics, and enhanced digital security while preserving Indonesia’s linguistic diversity. |
| DIRA, GoTo’s AI-powered voice assistant, simplifies financial transactions within the GoPay app through voice commands in Bahasa Indonesia. By streamlining bill payments and transfers, DIRA enhances accessibility, particularly for Indonesia’s unbanked population, and sets the foundation for AI-driven fintech automation. |
| Adakami integrates AI-driven fraud detection into its fintech lending platform, preventing up to 95% of fraudulent applications. Using e-KYC and anomaly detection, it identifies deepfakes and identity manipulation, strengthening security and streamlining loan approvals in Indonesia’s digital lending sector. |
Introduction: Exploring the Indonesian AI Market Landscape
Indonesia’s digital economy is accelerating rapidly, with artificial intelligence (AI) becoming a cornerstone of this growth. By 2030, AI is projected to contribute USD 366 billion to the nation’s GDP, solidifying Indonesia’s position as a leader in the global digital economy. The country already ranks as the third-largest global user of AI, with investment in generative AI alone surging from USD 4 billion in 2021 to USD 25 billion in 2023. According to the IMF’s AI Preparedness Index 2024, Indonesia outperforms regional peers such as Malaysia and India in digital infrastructure, innovation, human capital, and regulatory frameworks—key enablers for sustained AI-driven growth.
Recent AI developments highlight Indonesia’s dedication to digital transformation. The introduction of Sahabat AI, a locally developed large language model (LLM), emphasizes efforts to bridge linguistic diversity and promote local innovation. Led by Indosat, GoTo, and NVIDIA, this initiative utilizes advanced AI capabilities to empower local businesses, government agencies, and educational institutions. Complementing this is NVIDIA’s GPU Merdeka cloud service, which offers state-of-the-art AI infrastructure specifically designed for Indonesia’s requirements. With plans to train 20,000 students and a $200 million investment in an AI center in Surakarta, NVIDIA’s commitment strengthens the nation’s ambition to become a leading AI hub in Southeast Asia.
As AI reshapes industries, its transformative potential is being realized in sectors such as financial services, healthcare, agriculture, and aviation. From optimizing supply chains and improving credit scoring to enabling predictive healthcare solutions, AI’s influence is driving innovation across the board. Yet, challenges in infrastructure, talent, and regulation remain, requiring continued collaboration and investment. To explore these advancements and their impact, Twimbit AI Radar: Indonesia Edition showcases the latest AI use cases across industries, highlighting innovations that are shaping the country’s future. This edition focuses on key sectors, including financial services, agriculture, and aviation, offering a comprehensive view of how Indonesia is leveraging AI to accelerate its digital ambitions.
Nexmedis: Revolutionizing Healthcare with AI-Powered Clinical Decision Support in Indonesia
Nexmedis, an innovative AI-powered electronic medical record (EMR) platform supported by Indonesia’s Ministry of Health, is transforming healthcare diagnostics and treatment. By tackling the challenges of doctor shortages and uneven healthcare distribution in Indonesia, Nexmedis employs AI-driven Clinical Decision Support (CDS) to deliver immediate, data-informed diagnostic recommendations, reducing human error and enhancing patient care outcomes.
By analyzing real-time and historical patient data, the AI system swiftly suggests five probable diagnoses with ICD-10 codes in under two seconds. This capability significantly reduces administrative burdens, enhances consultation efficiency, and ensures more accurate and equitable healthcare access—especially in remote regions where specialist availability is limited. Nexmedis is also offline-capable, ensuring usability in low-connectivity environments, making it a transformational force in Indonesia’s healthcare digitalization efforts.
How is it ranked?
🚀 Industry-Wide Disruption ●●●●●
Commentary
Nexmedis is fundamentally transforming Indonesia’s healthcare landscape by bridging the gap between urban and rural medical services through advanced AI-driven diagnostics. Since August 2023, over 300 health facilities and 4,000 medical professionals have been onboarded, showcasing an adoption rate that exceeds industry standards. Crucially, its AI-powered decision support system is significantly reducing misdiagnoses and treatment delays, which were key factors driving millions of Indonesians to seek medical care abroad. This shift holds profound economic and social implications for the nation.
Beyond digitization, Nexmedis is revolutionizing the operations of medical professionals by automating critical decision-making processes that were once constrained by time and expertise. With strong government backing and official partnerships with regulatory bodies, it signifies a national-level transformation in Indonesia’s healthcare infrastructure. As adoption increases and AI models advance, Nexmedis is poised to set a new benchmark for AI-assisted healthcare throughout Southeast Asia.
Overall, Nexmedis is not just optimizing workflows—it is redefining healthcare accessibility, decision-making, and patient outcomes across Indonesia, positioning itself as a leader in AI-driven healthcare innovation and industry-wide disruption.
Mekari Airene: Transforming Business Efficiency with AI-Powered Intelligence
Mekari, a top Software-as-a-Service (SaaS) provider in Indonesia, has introduced Airene, an AI-powered assistant that integrates seamlessly with its key platforms: Mekari Talenta for HR, Mekari Qontak for customer relations, and Mekari Jurnal for accounting and finance. Leveraging OpenAI technology, Airene significantly boosts data analysis, decision-making, and process automation, helping businesses streamline operations, cut costs, and enhance productivity.
Airene’s advanced capabilities encompass real-time analytics, automatic report generation, AI-driven recommendations, and customer conversation summarization. By assisting HR teams in workforce planning, aiding finance teams in identifying cash flow risks, and enabling customer service teams to deliver faster, context-aware responses, Airene empowers businesses to harness AI for strategic decision-making, enhancing overall operational efficiency.
How is it ranked?
🔄 Operational Transformation ●●●○○
Commentary
Mekari Airene marks a pivotal advancement in AI-assisted business operations, focusing on process optimization to drive efficiency. By integrating AI into essential functions like HR, finance, and customer service, Airene minimizes manual tasks, speeds up decision-making, and boosts operational efficiency—offering a crucial advantage for expanding businesses in Indonesia’s dynamic market.
While Airene introduces intelligent automation, its current role focuses on enhancing internal efficiency rather than fundamentally altering industry structures or redefining business models. The AI’s primary function is to streamline operations, offering businesses a competitive edge in Indonesia’s evolving digital landscape.
As adoption scales and AI-driven insights become increasingly predictive and prescriptive, Mekari Airene is poised for higher-impact AI deployment, potentially enhancing its ranking in the AI landscape. Future advancements in autonomous decision-making, advanced predictive analytics, and widespread AI adoption across industries could elevate its role to a more transformative level.
Sahabat-AI: Indonesia’s first Local AI Model for Local Innovation
Developed by Indosat, GoTo, and NVIDIA, Sahabat-AI is a locally trained large language model (LLM) designed for multi-industry applications while preserving Indonesia’s linguistic diversity. It integrates NLP, machine learning, and large-scale data processing to support sectors like healthcare, banking, manufacturing, and retail.
Trained on 48 A100 GPUs, its first version processed 1.2 billion parameters and 16 billion tokens. The second version—now in development—will scale up to 4 billion parameters and 82 billion tokens, incorporating more local languages for better accuracy and accessibility.
Deployed on national servers, Sahabat-AI ensures data security, compliance, and sovereignty, with applications such as:
- Healthcare: AI-driven clinical research, treatment recommendations, and EHR automation.
- Banking: Credit scoring, fraud detection, and financial advisory.
- Manufacturing: Quality control, predictive maintenance, and workflow automation.
- Retail: Product discovery, personalized marketing, and virtual shopping assistants.
Beyond business use, Sahabat-AI helps preserve Indonesia’s 700+ languages, ensuring cultural sensitivity and digital inclusivity.
How is it ranked?
🔄 Strategic Innovation ●●●●○
Commentary
Sahabat-AI is a major milestone in Indonesia’s AI landscape, introducing locally trained LLMs for industry applications. While promising, adoption remains limited, and its full impact is still unfolding.
Why Level 4?
- First large-scale Indonesian LLM, enabling AI adoption across sectors.
- Enhances core industry processes in healthcare, banking, manufacturing, and retail.
- Deployed on national infrastructure for security and compliance.
As usage expands and the second version broadens its reach, Sahabat-AI could progress toward Level 5: Industry-Wide Disruption.
DIRA: Indonesia’s First AI Voice Assistant for Digital Finance
GoTo, Indonesia’s leading digital ecosystem, has launched DIRA, an AI-powered voice assistant in Bahasa Indonesia, aimed at improving accessibility and convenience in financial transactions. Integrated into the GoTo AI roadmap, DIRA enhances user experience within the GoPay app by enabling seamless bill payments, transfers, and PIN management through intuitive voice commands.
With lightweight integration and compatibility across all device types, including smartphones with limited capabilities, DIRA democratizes AI access for Indonesia’s diverse population, including 97 million unbanked adults. Users can activate DIRA by tapping the microphone icon on the GoPay homepage, instantly initiating transactions like bill payments, fund transfers, mobile top-ups, and PIN changes. To ensure security, all transactions still require authentication through PIN or biometric verification, maintaining GoPay’s high safety standards. As the first AI-based voice assistant in Indonesia’s fintech sector, DIRA not only enhances user convenience but also sets a precedent for future AI-driven innovations within the GoTo ecosystem, furthering digital transformation in Indonesia.
How is it ranked?
🔄 Strategic Innovation ●●●●○
Commentary
DIRA marks a significant milestone in Indonesia’s digital finance sector as the nation’s inaugural AI-powered voice assistant for financial transactions. By incorporating voice commands into the GoPay app, DIRA boosts operational efficiency and simplifies user interactions, minimizing obstacles in digital payments. DIRA revolutionizes financial services in several key aspects:
- Process Optimization: Reduce the steps needed to complete transactions, enhancing efficiency.
- Localized AI for Financial Access: Tailored to local user behavior by using Bahasa in its feature.
- Scalable AI Integration: Designed to function on all smartphone types, expanding adoption across economic segments.
Currently integrated within GoPay, DIRA has the potential to expand across the broader GoTo ecosystem, further reinforcing AI-driven automation in financial services. By streamlining payment processes and enhancing accessibility, DIRA exemplifies how AI innovations in Indonesia can transform core fintech operations, boosting both convenience and operational efficiency on a large scale.
Adakami: AI-Powered Fraud Prevention in Fintech Lending
Adakami, a prominent fintech lending platform in Indonesia, has enhanced its loan application process by integrating AI-driven fraud detection. This strategic move addresses the increasing threats of identity theft, phishing, and digital fraud, reinforcing the platform’s commitment to secure and reliable financial services.
Using advanced electronic Know Your Customer (e-KYC) technology and AI-powered anomaly detection, Adakami can identify manipulated images, detect inconsistencies in personal data, and cross-verify user identities with government databases. These measures have allowed Adakami to prevent up to 95% of fraudulent loan applications, ensuring greater security for both users and the platform. Unlike traditional e-KYC methods that rely solely on document verification, Adakami’s AI can detect sophisticated fraud attempts, such as deepfakes and manipulated images, setting a new benchmark in fintech security.
How is it ranked?
🔄 Operational Transformation ●●●○○
Commentary
Adakami’s AI-driven fraud detection enhances security and efficiency in digital lending by automating identity verification and detecting fraudulent applications. While it improves operational workflows and reduces fraud risk, such AI-powered e-KYC systems are now standard in the fintech industry. Given its role in streamlining verification processes and minimizing fraud, Adakami’s AI deployment aligns with Level 3: Operational Transformation, as it significantly optimizes daily operations without introducing groundbreaking innovation.
Key Takeaway
The Twimbit AI Radar (APAC) 8th Edition highlights five recent AI deployments by both private companies and government entities in Indonesia, reflecting the country’s growing commitment to AI-driven transformation. Spanning industries such as financial services, telecommunications, and healthcare, these deployments demonstrate how AI is being leveraged to optimize operations, enhance customer experiences, and drive strategic innovation.
According to the AI Maturity Framework assessment, these AI deployments in Indonesia are categorized into Level 3 (Operational Transformation), Level 4 (Strategic Innovation), and Level 5 (Industry-Wide Disruption). This classification highlights Indonesia’s progress in AI adoption, moving past basic automation to achieve significant operational transformation and strategic innovation across various sectors.
The prevalence of Level 3 and Level 4 AI deployments in Indonesia highlights how AI innovations are increasingly shaping core business functions, creating tangible value, and enhancing efficiency across various industries. However, industry-wide disruption (Level 5) remains limited, indicating that while AI is becoming a strategic enabler in Indonesia’s digital transformation, most companies are still in the process of scaling their AI capabilities for long-term transformation.
This trend underscores the progression of AI deployment in Indonesia, transitioning from merely enhancing automation and efficiency to serving as a pivotal force in strategic business innovation. As AI adoption intensifies, it is crucial for companies to prioritize scalable infrastructure, nurture AI talent, and align use cases effectively to fully harness AI’s transformative potential.
The Twimbit AI Radar will continue to monitor these AI innovations, offering valuable insights into how AI is driving Indonesia’s digital transformation and its path toward becoming a leader in intelligent automation.
AI Maturity Framework
The AI maturity framework used in this report offers a structured approach to evaluating the impact of AI across industries in Indonesia. It categorizes the deployment of AI solutions based on their transformative potential, ranging from basic automation to industry-wide disruption.
| Level | Description | Impact |
| Level 1: Basic Automation | Minimal impact; routine automation of repetitive tasks. | Streamlined operations with low disruption. |
| Level 2: Incremental Improvements | Modest impact with improvements in isolated areas. | Small gains in efficiency and performance. |
| Level 3: Operational Transformation | Significant improvements in workflows or resource management. | Noticeable impact on daily operations. |
| Level 4: Strategic Innovation | AI transforms core processes, delivering major efficiency gains. | High-level impact on core business functions. |
| Level 5: Industry-Wide Disruption | Disruption of industries or creation of new business models. | Major market changes, reshaping entire sectors. |
This framework helps understand how AI deployments are evolving, enabling companies to assess their readiness for digital transformation and the scale of change they can expect from AI adoption.